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Are you ready to start a new career in AI Engineering? \n AI is expected to generate 170 million jobs by 2030 and at present experienced professionals can earn salaries of upwards of £66,000. \n In today’s digital world, AI is transforming every aspect of our lives and is at the heart of modern technological advancements. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. \n Your journey to a new career in Artificial Intelligence is just 130 hours and three simple steps away. \n Newto Training can support you at any stage of your career journey whether you’re new to the industry or looking to exchange your skills, this Artificial Intelligence course is designed to get you job-ready. \n Step One: \n Study key data methodologies: AI Fundamentals, Python, Working with AI Models, AI Engineering for Developers, Developing AI Applications all alongside real-world project work to harness the power and understanding of these technologies \n Step Two: \n Study and take your three AI and data certifications: Azure AI Fundamentals, Azure Data Fundamentals and Designing & Implementing Azure AI Solutions. \n Step Three: \n Now that you’re qualified for an entry-level AI or data position paying up to £35,000 per Year. Our recruitment support team will begin working with you to help secure a role that suits your new qualifications and any other experience you bring. \n Course cost - £2795 or £232.91 per month \n We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees. \n No prior industry experience is required - No matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want. \n Click 'Apply Now’ to begin your new data career!

Trainee AI Engineer – No Experience Needed \n Future-proof your career in Artificial Intelligence – starting today. \n Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. \n Train online at your own pace and land your first AI Engineer role in 1-3 months. \n Please note this is a training course and fees apply \n Job guaranteed - complete the programme and get a job or get your money back. \n Our candidates earn £28,000-£45,000. \n \n Why AI? \n AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. \n The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. \n \n How It Works \n Step 1 – AI Engineering Fundamentals \n Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. \n Step 2 – Data Fundamentals \n Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. \n Step 3 – Notebooks & IDEs \n Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. \n Step 4 – Python Programming \n Master Python, covering everything from the basics to object-oriented programming (OOP). \n Step 5 – Python Streamlit Project \n Apply your Python skills by building a car price prediction app using Python and Streamlit. \n Step 6 – Python for Data \n Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. \n Step 7 – AI Sentiment Analysis Project \n Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. \n Step 8 – AI Prompt Engineering \n Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. \n Step 9 – Retrieval-Augmented Generation (RAG) \n Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. \n Step 10 – AI Specialised Customer Service Chatbot Project \n Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. \n Step 11 – Machine Learning Fundamentals \n Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. \n Step 12 – Machine Learning Project \n Put your machine learning knowledge into practice with a hands-on project. \n Step 13 – AI & Data Ethics \n Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. \n Step 14 – Oral Exam \n Complete a virtual oral exam to assess your understanding and ability to apply your learning. \n Step 15 – AWS Certified Cloud Practitioner \n Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. \n \n What You Get \n · 100% online, self-paced training \n · Microsoft AI-900 certification included \n · 1-to-1 tutor and recruitment support \n · Real-world project experience \n · Job guarantee – get a job or your money back \n · Starting salary of £28,000–£45,000 \n \n We Get You Hired \n We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. \n Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. \n We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. \n "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London \n \n Ready to Start? \n If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. \n Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps. \n

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Company description:Traffic Signal EngineerJob description:Uniting whats next in traffic.Traffic Signal EngineerWe are interested in hearing from Engineer's, Senior Engineer or Principal Engineers.At Yunex Traffic, we launch cities into the future with forward-looking infrastructure and transport solutions, making mobility safer, more efficient and more sustainable for all.Our Commitment:At Yunex Traffic, the uniqueness of our people is our strength. Our people are at the heart of what we do and every voice, perspective and contribution is valued. The future of mobility needs people who think down different tracks and we empower our people to transform cities all over the world. Join us and make a difference too.If we all thought the same, we would never think of anything new. Thats why we recruit great minds from all walks of life. We embrace diversity and create whats right for the world by employing the people who live in it.At Yunex Traffic, we recognise that building a diverse workforce is critical to the success of our business. We strongly encourage applications from a diverse talent pool and welcome the opportunity to discuss flexibility requirements and workplace adjustments with all our applicants to encourage agile working and innovation.Do you want to make a difference with the work you do? Join us as aTraffic Signal Engineer.This role will require close working with other parts of the Consultancy Services team and the wider business, proving detailed technical traffic engineering experience across a range of disciplines. This is a technical role but also requires liaison one to one with our customer base on a daily basis. This senior role involves working on complex traffic engineering projects without supervision and managing projects through to customer approval.Please note this role is not eligible for Skilled Worker visa sponsorship.Responsibilities:Be responsible for the Health & Safety and professional development of your direct reports (where applicable)Deliver to a high standard a wide range of traffic engineering projects across the UK in accordance with current national/local standards, guidance and best practiceDeliver traffic engineering projects in accordance with ergonomic, economic and sustainable principlesAssessment and mitigation of risks associated with traffic engineering projectsTravel to site visits, validations, and customer meetings with overnight stays where appropriatePreparation of technical reports and specificationsTechnical checking/approval of traffic engineering schemes before delivery to customersPreparation of consultancy/design quotationsProject management and financial trackingQualifications & Experience:The key competencies and capabilities for this role are:High level of communication skills, both verbal and written and working collaborativelyAbility to solve complex traffic engineering problems and managing customers expectationsAbility to achieve objectives with strict deadlines and manage your own and others workloadRequired experience:To have a technical, in-depth understanding and proven track record of the following traffic engineering competencies:Traffic signal design fundamentals and UK standards/specificationsTraffic engineering software including AutoCAD, with KeySignals, and modelling software such as LinSig or TransytIn-depth knowledge of traffic signal products from across the industryIn-depth knowledge and proven track record using systems such as UTC or UTMCIn-depth knowledge and proven track record of adaptive control strategies such as SCOOT or MOVA, including experience with setup and on-site validationExperience undertaking Factory and Site Acceptance TestingEducational RequirementsHNC/HND/Degree level in engineering in a related subject is preferred or have relevant experienceWe offer:Competitive base salary plus annual bonus26 days holiday (rising to 29 with service37.5 hour workingExcellent pension scheme with up to 10% employer contributionFlexible benefits tailored to your needsOngoing training and development, including support for professional membershipsHow do I apply?We can only accept online applications. Click the Apply Now button below to submit your application.About Us:We are a global leader in intelligent transport systems with more than 3,500 passionate employees who pioneer, develop, create, install and maintain innovative road traffic and mobility solutions all over the world.We make our roads smarter, safer and greener. The work we do enables cities, highways authorities and infrastructure operators to create a new world of mobility and makes cities more livable for everyone.Our solutions range from traffic lights, tolling solutions and tunnel management to software, AI applications and the intelligent networking of all road users.Become a Traffic Transformer and help us to continue transforming towns and cities all over the world.What else do I need to know?To stay up to date with what were up to at Yunex Traffic UK, including our events and some of our exciting new job roles, sign up for our UK Recruitment Newsletterhere.TPBN1_UKTJ

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $100M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. We’re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers. But we’re not stopping there. We’re also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries. We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse. • Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup), • Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflows, • Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms, • Collaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing, • Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts, • Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space, • Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively, • Minimum 3 years of engineering experience, • Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning, • Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.), • Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production, • Solid understanding of cloud technologies, containerisation and building scalable AI applications, • Ability to integrate AI/ML models into real-world applications, focusing on usability and performance, • Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment, • Experience working with large datasets, particularly in relation to demand and supply forecasting Bonus • Experience or strong interest in energy markets and trading strategies, • Understanding of weather forecasting, energy demand patterns, and production modelling, • Exposure to Natural Language Processing (NLP) or other related fields, • Competitive salary and an equity sign-on bonus, • Biannual bonus scheme, • Fully expensed tech to match your needs, • Paid annual leave, • Breakfast and dinner for office based employees

You will be responsible for ensuring data quality, integrating key data sets, and supporting the insights and data science teams. If you are a motivated Senior Data Engineer with a passion for cloud technologies, AI, and data analytics, we’d love to hear from you. An exciting opportunity has aris

Complexio is building Stevie — an enterprise AI knowledge assistant that gives executives and operators a complete view of their organization through knowledge graphs. Our customers are large maritime shipping companies managing hundreds of vessels, thousands of daily emails, and complex commercial operations. We're looking for a Senior or Lead Frontend Engineer to own Stevie's frontend. The interface is the product — it determines whether enterprise customers trust the intelligence, get value quickly, and come back. You'll shape all of that. Why This Role Enterprise AI UX is unsolved. You won't copy patterns — you'll create them. Citations from knowledge graphs, streaming AI responses that feel trustworthy, confidence indicators on operational intelligence. You own the full frontend. No separate frontend team. You are it — with real influence on product direction and architectural decisions. Flat org, real impact. Domain owners have authority. Engineering decisions are made by engineers, not managers. You'll own the full frontend — conversational AI interfaces, content feeds, document generation, collaborative features. The product is evolving fast and you'll shape what gets built and how. Must-haves 5+ years of frontend experience in production. You understand rendering models, performance characteristics, and architectural patterns deeply. • Strong product sense. You push back when the UX doesn't make sense. You've shipped real user-facing products., • Real-time/streaming UI experience. WebSockets, SSE, or similar live data patterns., • Comfort with ambiguity. You take vague problems and turn them into concrete frontend solutions., • You ship. End-to-end — prototype to production to iteration on feedback. Strong signals • Enterprise/B2B SaaS. You know the difference between consumer UX and building for a CFO who needs to trust a number., • AI product experience. Latency UX, citation rendering, hallucination presentation., • Design sensibility. Polished interfaces without a designer in the room., • Backend literacy. You can read a REST API and collaborate with backend engineers on data contracts., • Startup experience. Small teams, multiple hats, fast without cutting corners. How We Work • Direct communication. Honest feedback, hard questions, no hiding behind process., • Ownership over tasks. You're asked what you shipped and learned, not to fill out status reports., • Speed with quality. We ship fast because we scope well. Customer feedback cycles are weeks, not quarters., • AI-augmented workflow. We use AI tools extensively and expect you to be comfortable with AI-assisted development.

OneClickComply is changing how cybersecurity and compliance is achieved by small and medium sized businesses by automating thousands of technical tasks at the click of a button. We're backed by a leading Venture Capital investor and work from our state-of-the-art office in Sunderland. Description: • Design, develop, and deploy end-to-end AI/ML-powered features and applications using Python and modern frameworks., • Build, integrate, and maintain machine learning models/solutions—from data pipelines to API deployment and user-facing delivery., • Collaborate with product managers, compliance experts, and engineers to translate business needs into intelligent technologies., • Build robust backend systems and APIs (e.g., FastAPI, Django, Flask) to support AI-driven workflows., • Develop user-friendly frontend interfaces (e.g., React, TypeScript) that surface ML insights and drive engagement., • Lead the development, evaluation, and monitoring of models (LLMs, predictive/classification, agentic workflows), ensuring security and compliance standards are met., • Implement best practices for MLOps, including CI/CD, automated testing, model versioning, and data validation., • Architect integrations with vector databases, cloud platforms, and retrieval-augmented generation systems. Qualifications: • 3+ years of production experience delivering fullstack AI/ML applications., • Proficient in Python (especially for ML with libraries such as TensorFlow, PyTorch, scikit-learn) and backend frameworks (FastAPI, Django, Flask)., • Experience with frontend frameworks: React, Vue, or Angular., • Practical expertise in building and scaling ML models (LLMs, NLP, classification) and deploying them as APIs/services., • Strong skills in MLOps: containerisation (Docker, Kubernetes), cloud deployment (AWS, GCP, Azure), and CI/CD., • Experience with prompt engineering, LLM evaluation, and vector databases (Pinecone, Weaviate, FAISS)., • Excellent communication skills and experience working cross-functionally. Benefits: The OneClickComply team are integral to the 100% customer satisfaction we have here, and as such we offer one of (if not) the best benefits packages for our team. ❤️‍🩹 Wellness & Healthcare • 👩‍⚕️ 24/7 GP appointments for you & family, • 🗣️ Unlimited counselling & mental health support, • 💪 Virtual gym classes & discounts, • 🦵 Virtual physiotherapy & 👁️ unlimited eye tests, • 🫰 Subsidised health insurance, • 🤝 Care & special needs advice, • 🐶 25% off video vet consultations 🗓️ Leave Entitlements • ✈️ 33 days paid annual leave, • 🏠 Unlimited leave (sabattical anyone?), • 🤢 10 days company sick pay, • 🎂 Paid day off for your birthday, • 🐹 Paid pet bereavement leave, • 🚸 Half-day off for your child’s first school day 💴 Financial Benefits • 🏪 4,000+ retailer discounts, • 📞 Personal finance advice, • 🥇 £1,000 monthly lottery, • 🎞️ 40% off cinema tickets, • 💹 Share options, • 🎽 Charity match donations, • 🚘 Driving Lesson Contributions, • 💵 Interest-Free Loans, • 🚂 Travel pass advances 🍕 Food & Social 🍹 Unlimited free drinks in the office (catered to you on request!) & 🍴 monthly team meals

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network The next step is to _. Job Title: Senior Backend Engineer - Casino UX Company Description: Midnite - Series C betting platform backed by $75M+ from Raine Group and Makers Fund. Job Description: Join the Casino UX team to build the high-concurrency backend systems powering a modern betting experience. You will design RESTful APIs, integrate external partners, and scale services on AWS to handle real-time traffic spikes. This is a critical role in a fast-growing squad where your architectural decisions directly impact millions of fans. Location: Remote, UK Why this role is remarkable: Significant scale and impact: join a Series C company that grew 10x in the past year, offering the chance to shape architecture at a critical inflection point. Modern engineering culture: work in a high-autonomy environment with daily deploys, no legacy code, and a tech-first approach to a traditional industry. Exceptional backing: join a top-tier team supported by $75M+ in funding from premier investors like The Raine Group, Play Ventures, and Makers Fund. What you will do: Design and maintain robust backend services and RESTful APIs using Python, Flask, and PostgreSQL to power mobile and web applications. Collaborate in a cross-functional squad with product, design, and trading experts to deliver immersive, real-time gaming features. Own systems end-to-end, from architectural decision-making and technical documentation to monitoring and scaling infrastructure using Terraform and AWS. The ideal candidate: Has 5+ years of professional backend engineering experience with a strong proficiency in Python or another major backend language. Demonstrates a solid understanding of relational databases like PostgreSQL and cloud infrastructure, specifically AWS services like SQS and S3. Thrives in fast-paced, agile environments and enjoys mentoring junior engineers while contributing to high-level technical and architectural discussions. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Step 1. Visit _. Step 2. Click 'Talk to Jack'. Step 3. Talk to Jack so he can understand your experience and ambitions. Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. Step 6. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

About Us: DOHE is a global EdTech championing group headquartered in Singapore, with a branch in the United Kingdom.We are on a mission to transform education by leveraging technology responsibly to enhance educational quality and foster meaningful societal progress. We are building EdTech Hub, a global ecosystem designed to empower startups, foster collaboration, and strengthen innovation across the education sector worldwide.Through our Go-Together Accelerator Programme, we support EdTech founders in turning their vision into reality through tailored coaching and strategic support. Guided by our proprietary Navigator methodology, we create structured and efficient pathways to success for education innovators. Over the next decade, our ambition is to accelerate more than 5,000 EdTech startups globally Find out more _ EdTech Hub IT Team The EdTech Hub IT Team powers the digital foundation of our ecosystem. We design, build, and maintain secure, scalable, and reliable technology infrastructure that enables startups, partners, and stakeholders to collaborate seamlessly. From platform development and data management to cybersecurity and system optimisation, our team ensures that innovation is supported by strong and future-ready technology. By combining technical expertise with a deep understanding of the EdTech landscape, we help create an environment where startups can focus on growth — while we take care of the technology that drives it. We are building a high-impact core team of 9 professionals across engineering, product, and design. Detailed Job Descriptions are available for each role. Establish the design system on a modern framework and build the entire frontend for five portals plus EdTech Hub. Implement role-based access control and create interactive UIs that surface AI-generated reports and matching results. · Build all 5 portals and EdTech Hub frontend from scratch · Establish a shared component library and Design System · Implement role-based access control and authentication integration · Develop complex workflow UIs — multi-step approval, coaching sessions, diagnosis questionnaires · Build AI integration screens — report viewer, expert matching, recording uploads · Create monitoring dashboards, cohort tracking, and analytics views About Us DOHE는 싱가포르에 본사를 두고 영국에 지사를 운영하는 글로벌 EdTech Championing Group으로, 에듀테크 스타트업이 사회적 가치를 만들고 글로벌로 성장할 수 있도록 에코시스템 (EdTech Hub) 구축 , 글로벌 액셀러레이션 프로그램 (Go-Together) , 데이터 기반 Methodology(Naviagator)를 제공하는 에드테크 전문 그룹입니다. 현재 EdTech Hub, Go-Together 등 내부 핵심 업무 시스템을 고도화하며 글로벌 팀과 함께 일할 시스템 엔지니어를 찾고 있습니다. EdTech Hub IT Team EdTech Hub는 전 세계 에듀테크 스타트업 커뮤니티를 지원하고, 교육 혁신 생태계 전반의 협력을 강화하기 위해 설계된 글로벌 플랫폼입니다. DOHE Global은 현재 전 세계 스타트업의 성장을 지원하는 통합 EdTech Hub 플랫폼을 처음부터 새롭게 구축하고 있습니다. 우리는 이 혁신적인 여정을 함께할 9개의 핵심 포지션에 합류할 전문 인재를 찾고 있습니다. 모던 프레임워크를 기반으로 디자인 시스템을 수립하고, 5개 포털과 EdTech Hub 전체 프론트엔드를 구축합니다. 역할별 접근 제어를 구현하고, AI 백엔드가 생성한 리포트와 매칭 결과를 사용자에게 전달하는 인터랙티브 UI를 만듭니다. · 5개 포털 및 EdTech Hub 프론트엔드를 신규 개발합니다 · 공통 컴포넌트 라이브러리와 Design System을 구축합니다 · 역할별 접근 제어와 인증 연동을 구현합니다 · 다단계 승인, 코칭 세션, 진단 설문 등 복잡한 워크플로우 UI를 개발합니다 · AI 리포트 뷰어, Expert 매칭 결과, 녹취 업로드 등 AI 연동 화면을 구현합니다 · 모니터링 대시보드, 코호트 추적, Analytics 화면을 개발합니다 · · Senior frontend engineer · Significant relevant experience of building large-scale services with React / Next.js · Hands-on TypeScript experiences · State management and REST API / GraphQL integration experience · Responsive web and cross-browser experience · Business-level English fluency required — daily collaboration with a global team · Design systems purist. You obsess over component consistency and reusability, and build systems hand-in-hand with designers. · Complexity simplifier. You have a talent for turning multi-step processes into UIs users navigate without friction. · Ecosystem explorer. You actively explore the evolving frontend landscape and experiment with new approaches. · Multi-persona empath. You understand the context of five distinct user groups and design the right experience for each. Language TypeScript Framework Next.js 14+ (App Router) UI React · shadcn/ui · Tailwind CSS · Radix UI State Zustand · TanStack Query Testing Vitest · Playwright Deploy Vercel · Netlify Tooling Figma · GitHub · Cursor 시니어 프론트엔드 엔지니어 · React / Next.js 기반 대규모 서비스 개발 4년 이상 · TypeScript 실무 경험 · 상태 관리와 REST API / GraphQL 연동 경험 · 반응형 웹과 크로스 브라우저 대응 경험 · 비즈니스 수준의 영어 커뮤니케이션 능력 필수 — 글로벌 팀과의 일상적 협업 · 디자인 시스템에 진심인 분. 컴포넌트의 일관성과 재사용성에 집착하고, 디자이너와 긴밀하게 시스템을 함께 만들어가는 분입니다. · 복잡함을 단순하게 만드는 분. 다단계 프로세스를 사용자가 헤매지 않는 UI로 풀어내는 데 재능이 있는 분입니다. · 최신 생태계에 열려 있는 분. 프론트엔드 생태계의 변화를 적극 탐구하고, 새로운 접근법을 실험하는 분입니다. · 다섯 가지 사용자를 공감하는 분. 서로 다른 사용자 그룹 각각의 컨텍스트를 이해하고, 최적의 경험을 설계하는 분입니다. Language TypeScript Framework Next.js 14+ (App Router) UI React · shadcn/ui · Tailwind CSS · Radix UI State Zustand · TanStack Query Testing Vitest · Playwright Deploy Vercel · Netlify Tooling Figma · GitHub · Cursor Employment: • Working hours: Full-time 40 hours a week., • Location: Remote - South Korea based, • Contract: Fixed Term Contract

Description At Spotted Zebra, we're building something we genuinely believe in: an AI-native end-to-end hiring platform that helps the world's leading organisations find the right people, faster and fairer than ever before. In short, we're making hiring something everyone loves again - both talent teams and candidates alike. We're a multi-award-winning Series A company giving talent leaders the solution they've always needed. Skills science native. AI-amplified. Built by people who've lived and breathed TA and knew there had to be a better way. Spotted Zebra brings Interview Intelligence, Skills Assessments, and AI Interview Agent together in one powerful platform, designed for intelligence and action. One powerful agent and assistant: Spot. Working the way talent teams need it to, always with humans in control. The result is talent teams get the insight to predict who will succeed, the speed to move before competitors, the governance to defend every hiring decision, and the capacity to focus on the human moments that matter most. But our product is only part of the story. Spotted Zebra isn’t just building an AI-native product; we’re building an AI-native company. AI is changing how we build, sell, support customers and make decisions. We use it to move faster, stay closer to customers, reduce unnecessary processes, and give talented people more leverage in their roles. That means joining Spotted Zebra isn’t just a chance to work on the future of hiring. It’s a chance to help shape what the future of work looks like inside a scaling company: compact, ambitious teams using AI to collaborate better, make decisions quickly, and deliver meaningful impact at speed. The FTSE100 and Fortune500 companies trusting us include British Airways, NIQ, Domino's, Lidl, Merlin Entertainments, AWE, United Utilities, and Paramount. We've been named Personnel Today's Talent Acquisition Supplier of the Year 2025, secured gold across multiple industry awards, and were recently named on the UK Top 100 Startups List. But what we’re most proud of is the team. People join Spotted Zebra because the mission is real, the product is genuinely exciting, and the opportunity to shape the future of hiring is huge. What makes it special is the way we work: smart, committed people in compact teams where trust is high, decisions happen quickly, and everyone has the chance to make a visible impact. If that sounds like the kind of place you want to do your best work - read on. Fun fact: A group of zebras is called a dazzle – and ours truly is dazzling! We create a culture in which our team thrives and gallops ahead. As we roam free and empower our dazzle, we gallop ahead on the journey to achieving our goals. We understand this journey will pose challenges along the way, yet we brighten the trail with our positive mindset and encouragement of others. The dazzle continuously moves, gaining knowledge and skills so that we can graze new grounds. You'll be joining Crimson, one of Spotted Zebra's AI Augmented Delivery (AAD) Crews - a lean team made up of a Product Manager and two Product Engineers. This is a role for someone who genuinely lives and breathes building for end users. You'll partner directly with your PM to shape and define what gets built, bringing your own product intuition to every conversation, and then go away and execute - owning the build out largely solo, with the support of your crew and subject matter experts in Data Science and Design, and seeing it all the way through to production. No long hand-off chains, no waiting on others to unblock you. Just ownership, momentum, and shipping things that matter. Key responsibilities: • Partnering closely with your Product Manager to define, scope, and prioritise features - bringing your own product thinking to the table, not just taking a ticket and running with it, • Owning features end to end, from architecture decisions through to production, across the full stack (front end, back end, and everything in between), • Leveraging AI tooling throughout your workflow to move fast, bridge skill gaps, and operate effectively within a lean crew, • Writing and maintaining clean, well-considered TypeScript across both frontend (React) and backend (NestJS), with GraphQL APIs connecting the two, • Collaborating with subject matter experts - including a Staff Engineers, Engineering Managers, Designers, Data Science, QA, and DevOps - on an ad hoc basis as your work demands, • Contributing to a delivery culture that values speed, ownership, and continuous improvement over bureaucracy and hand-offs Requirements • Proven experience as a full stack engineer with strong proficiency in TypeScript and React, • A product-oriented mindset - you care about the why behind what you're building, not just the how, • Demonstrable experience taking features from concept to production independently, • Comfort using AI tools (e.g. Cursor, Copilot, Claude) as a genuine part of your engineering workflow - not just experimenting, but integrating them meaningfully, • Strong communication skills and the ability to self-manage within a small, high-trust team, • Experience working in a startup or early-stage environment, • Experience working in a B2B SaaS environment, • Enthusiasm for helping shape how AI-augmented delivery teams actually work in practice - we're building this model as we go, and your input will matter, • Familiarity with our broader tech stack, including NestJS, PostgreSQL, Redis, RabbitMQ, GraphQL, Apollo, or similar technologies, • Experience in HR tech Benefits 🤝 Meaningful share options 🏥 Health insurance 💰 Enhanced pension 🍼 Nursery salary sacrifice scheme 🏖️ 25 days holiday 🏠 Remote-first 💻 Work from home budget 🧠 L&D budget 🦷 Dental cover 👀 Eyes care support 🏢 Co-working space 🧘 Wellbeing allowance ✈️ Travel insurance 🚗 Electric car scheme At Spotted Zebra, we welcome people of all stripes. We are committed to providing equal opportunities and an inclusive and diverse culture. We believe that each and every one of us possesses an extraordinary set of skills and abilities, waiting to be discovered, nurtured, and harnessed for the benefit of all. We are a team. And no matter your race, gender, sexual orientation, religion, civil or family status, age, or disability, we will empower you to unleash your superpower to help us create a world where everyone is able to utilise their unique blend of skills and abilities to contribute to the greater good. Everyone is unique and we encourage you to let us know in your application, or share with your recruiter directly, if there is anything we can do to make your interview experience with us more comfortable and positive. At Spotted Zebra, everyone is welcome. So even if you don't meet all the requirements, we would still love to hear from you. We are always keen to speak with people who are passionate about our mission. 🦓 Ready to gallop ahead with us? We're a team that moves fast, thinks big, and isn't afraid to challenge how things have always been done. If you're excited about using AI and skills science to transform how the world hires, apply now and a member of our dazzle will be in touch!

ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role This is a brand new Adoption Strategist role sitting at the intersection of adoption, enablement, product expertise, and implementation, so we expect the scope to evolve and want someone excited to build as it does. You'll work directly with corporate and midmarket customers to drive adoption of their core use case and help identify new ones - but everything you build has to scale across a high-volume book, not custom to one account. You'll need to be genuinely technical, deep enough in the product to be the most knowledgeable person in the room, without ever writing code or owning an account directly. This is a builder role for someone extremely analytical who's already advanced with AI tools. Since this is a new role, we expect the scope to evolve over time - being adaptable and excited to build is a core part of being successful here. Focus areas include, but aren't limited to: Drive strong adoption by building and delivering scalable implementation and enablement processes that educate customers on best practices and get them to time-to-value quickly on their core use case Develop deep product expertise across the entire ElevenLabs platform, with a focus on ElevenAgents and ElevenCreative - you're the product expert for enabling both basic and complex use cases, and you're constantly the first to learn new products coming to market Proactively audit customer agents prompts, configurations, and feature setup to identify gaps, and share recommendations as a value-add service that drives deeper adoption Track and drive key leading and lagging adoption metrics, partnering with Revenue Operations to iterate on our reporting capabilities, and use those trends to develop data-driven adoption strategies and playbooks across the customer base in region Partner with Account Management and CX to deliver targeted adoption and enablement campaigns, including regional live workshops and webinars, based on opportunities or new product releases Engage with external implementation partner and internal teams to help unify adoption strategy across the customer journey (e.g., Forward Deployed Engineering, GTM, Customer Experience, Product Marketing and Engineering) Partner with leadership on high-impact initiatives that support the local GTM team and global results Requirements 6+ years in implementation, solutions consulting/engineering, technical account management, or similar at a technical SaaS or AI-native company Experience with voice AI, TTS, conversational AI, or developer-facing products A track record of building adoption focused programs from the ground up: onboarding tracks, scaled adoption playbooks, self-serve content, and more You think in systems but are creative: you're always asking "how do we scale or automate this," and building automations and workflows with AI tools is ingrained in how you work Extremely analytical: you identify trends easily and use them to close gaps, surface opportunities or standardize best practices. You also identify data points that aren't yet tracked but would uncover new insights and change strategy Comfortable driving cross-functional outcomes without direct authority, working effectively with Account Management, FDE, RevOps, and GTM to move adoption forward Experience managing a high-volume book of business at scale, mid-market or commercial segment Fluency in English is essential, fluency in a 2nd European language (French, Spanish, German, Polish) is desirable Growth Potential We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: Growth Roles - Regional Adoption Lead Other teams: Account Management or Forward Deployed Engineering - Strategist or Solutions Engineer Location This role is remote-first, so it can be executed from anywhere in Europe. If you prefer, you can work from our offices in London, Dublin or Paris. #LI-Remote

We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact _. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. Our Defence team is focused on building and embedding human-centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting-edge AI to high-stakes situations and maintain the balance of global powers essential to our liberty. Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on-site with these customers which may require travel to locations throughout the UK. When not required on client sites, you’ll have the flexibility to work from our London office or remotely from elsewhere within the UK. As a Senior Software Engineer in our Defence business unit, you will lead backend and edge/IoT engineering for critical work streams, implementing robust, scalable patterns. You’ll bridge the gap between machine learning research and production-grade software, raising the technical bar through hands-on contribution and peer mentoring. Working alongside Lead Engineers and Data Scientists, you will scope and deliver high-impact solutions that provide immediate value to our customers in a fast-paced, entrepreneurial environment. Designing and building robust backend and edge/IoT components for diverse client deliverables across multiple software domains. Scoping and executing bounded technical problems to ensure high-velocity delivery. Shipping production-ready code in Python and at least one compiled language such as Rust, C++, Go, C#, or Java. Implementing scalable CI/CD processes, containerisation with Docker, and deployments on Kubernetes or bare metal. Mentoring and pairing with fellow engineers to share best practices and empower the team to deliver their best work. Collaborating with Machine Learning and Data Science teams to operationalise agentic software and advanced AI tooling. You possess strong hands-on experience in application development and a solid understanding of modern system architecture and design. You have a proven track record of shipping code used by paying customers in both Python and a compiled language. You are highly skilled in DevOps practices, including GitLab CI/CD, Docker, and managing applications in production environments. You bring experience with agentic software development and a passion for understanding and solving complex customer problems. You thrive when acting as a key contributor within a squad, taking ownership of technical challenges and elevating the team's output. You communicate effectively with technical and commercial stakeholders, translating complex requirements into robust engineering solutions. Talent Team Screen (30 minutes) System Design Interview (90 minutes) Pair Programming Interview (90 minutes) Commercial & Leadership Interview (60 minutes) We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: Unlimited Annual Leave Policy Private healthcare and dental Enhanced parental leave Family-Friendly Flexibility & Flexible working Sanctus Coaching Hybrid Working If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

Oversee integration of multiple data domains, ensuring interoperability, data lineage, and metadata management. Certifications: AWS Solutions Architect, Azure Data Engineer, GCP Professional Data Engineer, Certified Scrum Product Owner. At Provectus, we architect enterprise-grade AI and data solutio

In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers. Poolside exists to be this company: to build a world where AI will be the engine behind economically valuable work and scientific progress. We believe the fastest way to reach AGI lies in accelerating software development itself, by reshaping the developer experience with agentic systems, coding assistants, and the frontier models that power them. We deploy these systems directly into the development environments of security-conscious enterprises. We were founded in the US and have our home there, but our team is distributed across Europe and North America. We get our fix of in-person collaboration (and croissants) in Paris each month for 3 days, always Monday-Wednesday, with an open invitation to stay the whole week. We also do longer off-sites once a year. Our team is a multidisciplinary blend of research, engineering, and business experts. What unites us is our deep care for what we build together. We’re in a race that requires hard work, intellectual curiosity, and obsession; to balance this intensity, we’ve assembled a team of low ego and kind-hearted individuals who have built the special culture Poolside has. By building collaboratively and with intention, we create a compounding effect that moves the entire company forward towards our mission: reaching AGI through intelligence systems built for software development. This is a role for someone who wants to define what gets built, not just how it looks. You'll own product vision in 0-to-1 spaces, working at the frontier of what Poolside should build next, translating ambiguous problems into clear product direction, and prototyping fast to validate ideas before they become roadmap. You'll work closely with engineering and leadership, partnering tightly with our product design team to shape experiences that sit at the intersection of frontier AI and developer tooling. The problems here are genuinely hard and the surface area is wide. One day you're digging deep to understand how developers experience a new agentic workflow; the next you're building a proof-of-concept that changes the direction of a product. Your taste and judgment will be visible in what ships. YOUR MISSION To forge the product direction for Poolside's developer experience, defining what we build at the frontier of AI and software development. Own product vision in 0-to-1 spaces, defining what Poolside should build and translating ambiguous problems into clear, buildable direction. Lead design, experimentation, and proof-of-concepts that explore what's next for developer tools, feeding insight back into the product roadmap. Partner with Product Engineering to move ideas from concept to shipped product, working at both the strategic and the granular level. Prototype rapidly and validate early; you're as comfortable in code as you are in a design tool. Collaborate with designers and the wider design team to ensure product thinking is consistent and well-resourced across Poolside's surfaces. Shape how Poolside shows up externally as a product, including how developers first encounter our work. Strong product intuition with a history of defining what to build, not just how to build it. You've forged direction, not just executed on it. A genuine history of building with code: scripts, tools, personal projects shipped from scratch. You can speak concretely to what you built and why. Genuine familiarity with developer workflows. Version control, local environments, the command line, deployment pipelines. Not as a curiosity, but as your natural habitat. Deep experience designing for developer tools specifically, not general consumer or enterprise products. Strong visual craft. You produce polished, high-quality UI and can hold a high bar across the full product experience. Comfortable with rapid prototyping, research, and proof-of-concepts. You move fast and validate early. Highly autonomous: you set your own direction, bring others along on your thinking, and make good decisions in ambiguity. Intro call with one of our Designers Design interview with a Design Engineer (Product). Come with 1–2 projects you forged, not just executed Technical interview with a Product Engineer. Expect questions on how you build and think about developer workflows Team fit call with the People team Final interview Fully remote work & flexible hours 37 days/year of vacation & holidays Health insurance allowance for you & dependents 16 weeks of flexible, full-pay parental leave Well-being, always-be-learning & home office allowances Company-provided equipment Frequent team get togethers Diverse & inclusive people-first culture

Edge Impulse is the leading edge AI platform, enabling companies to build smarter edge products. Our technology empowers over 100,000 developers to bring more machine learning products to market faster. Enterprise teams develop industry-specific solutions in weeks instead of years because of our robust platform with custom pre-processing blocks and deployment blocks, which make it significantly easier to put a trained model onto a device. We believe that data-centric engineering is the future of industry transformation, unlocking a positive impact on our society and environment. Have a passion for distributed systems, user interaction, accessibility, and delivering customer value? This could be your next career step. Our studio team is the glue for all user-facing Edge Impulse features. We are responsible for the polished UI and the and _. Because we build and support the overall Edge Impulse platform, we seek truly full-stack programmers who thrive on cross-organization coordination and collaboration. \n Responsibilities • Work closely with our Product team as well as with our UX, Marketing, and Solutions teams to design and develop new features that emphasize accessibility, CSS structure, and implementing user-centric designs., • Improve existing code by making it faster, idiomatic, and easier to maintain. Build systems that are reliable, maintainable, scalable, and secure., • Collaborate with our Embedded engineers to integrate new deployment targets in Studio. Experience with embedded development is nice to have, but not required. We have an amazing team to take care of the low-level aspects., • Collaborate with our world-class ML team to showcase their research through Studio. No ML background is required, but a readiness to learn is essential!, • Maintain and extend the Edge Impulse API, SDK, and CLI. We love happy developers., • Embrace an iterative approach by delivering work incrementally to gather feedback., • Lead cross-team initiatives end-to-end, including code reviews, design reviews, operational robustness, security hygiene, etc. Preferred skills and experience • A minimum of six years of software development experience with a balance of front-end and back-end technologies., • Proficiency in TypeScript, NodeJS, or similar technologies., • Strong expertise in HTML and CSS., • Foundational knowledge of UX principles and a track record of prioritizing accessibility in design., • Comfort working with data storage systems at scale, using technologies like PostgreSQL and Redis., • Experience with Docker and an understanding of containerization., • Track record of easily working on a fully distributed team. Bonus points! • Background and interest in Machine Learning and/or mathematics., • Familiarity with monitoring and observability tools like DataDog., • Experience or interest in implementing performant Web Applications and responsive design. \n£63,600 - £98,325 a yearWe base our salary ranges from compensation research using both historic and real-time salary data sets. We have a reasonable estimate of the current salary range to be GBP63K-98K + annual bonus + benefits. This range reflects the minimum and maximum target for new hire salaries for this remote position where the engineer is based in the UK. Edge Impulse targets overall compensation at the 75th quartile of the market for similarly placed companies, job families, and grade levels. Our salary ranges take into account a wide range of factors including but not limited to role, grade level, location, training, degrees, certifications, and other business needs. \n We are an equal opportunity employer. We appreciate diversity in our remote, global organization. We value inclusivity across our teams. We encourage applicants of all genders to apply for this position. We do not discriminate against any employee or applicant for employment because of race, religion, color, national origin, gender identity, sex, sexual orientation, age, marital status, veteran status, disability status, or any other federal, state, or local protected class. #LI-Remote

The Company Nigel Wright Tech is pleased to be working closely with a unique consultancy in their search for a Data and AI Engineer. The Role You will play a key role in designing, developing and deploying machine learning models. Your work will directly contribute to transforming data into actionable insights, driving business growth and supporting decision making for clients. The Requirements This is a fantastic opportunity where you will get the chance to work on cutting edge AI projects within a collaborative and innovative environment. Key requirements include: • Experience in designing, developing and maintaining production ready, secure applications using AWS, GCP or Azure, • Exceptional stakeholder management skills with the ability to build strong relationships, • Implementation of data modelling and transformation processes to support advanced analytics and AI initiatives, • Explore and apply LLMs to build novel, AI driven applications, • Develop and maintain CI/CD pipelines to ensure seamless deployment and integration

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at and follow us on and _. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from the UK, Sweden, Spain or Germany. We are looking for a Staff Software Engineer - SRE to help us support our highest value Grafana Cloud customers by increasing the reliability of our Cloud databases that are based on Mimir, Loki, Tempo, and Pyroscope. We provide these databases as a SaaS product from AWS, GCP, and Azure across all regions. The SRE team is embedded within the Mimir, Loki, and Tempo squads and focuses on ensuring that Grafana Cloud’s database products deliver exceptional reliability for our highest-SLA customers. In this role, you will: • Partner closely with product engineering squads (embedded model), • Own production reliability for high-SLA and complex customer environments, • Design and implement automation to scale our reliability practices, • Ensuring our customers meet our SLO targets, • Define and evolve per-tenant SLOs and reliability models, • Proactively reduce SLO burn to prevent repeat incidents, • Serving as a primary escalation point and on-call for relevant incidents, • Lead customer-impacting incident response and post-incident reviews, • Contribute to design docs and code reviews, • Influence feature design to ensure production scalability and operability, • Build automation to eliminate toil where needed, • Improve alert quality and reduce noisy escalations We seek a staff software engineer operating at the intersection of customer needs, production systems, and product engineering. • 8+ years engineering experience, 4+ in SRE/CRE/production engineering. Strong preference for those with formal customer reliability engineering experience., • Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.)., • Strong experience with technical leadership, leading a team through projects, mentoring other engineers on the team and serving as a force-multiplier, • Experience operating multi-tenant systems in production, • Strong experience designing and implementing SLOs, • Experience with one or more programming languages (e.g. Go, Python, Java, etc), • Experience with Linux operating systems internals, and some knowledge of networking, cloud storage, and scaling., • Excellent problem-solving and troubleshooting skills., • Experience with calmly and actively participating in blame-free Incident Response, following up on actions, and writing high quality PIRs (Post Incident Reviews, a.k.a. post-mortem documents), • Ability to reason about performance, scaling, and failure modes, • Comfortable working within an engineering team where individuals are encouraged to have a strong sense of autonomy and self-direction., • Ability to partner deeply with product engineering teams, • We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind (this is important!), • Regular 1:1s to with your manager and colleagues, • Reviewing and creating SLOs, proactively investigating ways in which we can further reduce budget burn for those SLOs, which can be self-directed or as the result of learnings from incidents, and may include improvements to monitoring, automation, increasing self-healing, auto-scaling, etc., • Improve observability of customers within their environments, • Designing and implementing solutions to ensure reliability and scalability of our environments can meet rapidly increasing demands, • Develop fault-tolerant design patterns ensuring that we are considering reliability at all stages of the service lifecycle., • Collaborating with our Engineering Leaders to help define and influence product strategy, roadmaps and technical designs, • Participate in PR review and collaborating with other engineers on their Design Docs, • Teach others about Site Reliability Engineering and communicate best practices to be applied early in development of new features and functionality, • Participate in Incident Response when applicable, including investigation through to resolution, PIR, and communication with customers via Bridge calls where necessary In the UK, the Base compensation range for this role is £103,958 - £124,750. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed _.#LI-Remote #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Geospatial Data Engineer Job Description Job Purpose: To enhance MapAction’s data processing and automation capabilities Location: Remote but based in the United Kingdom. Salary: £36,000- £40,000 per annum, subject to experience Contract: Full time, substantive position for 12 months. Start ASAP. Reports to: Head of Data & GIS The Opportunity Are you a Data Engineer eager to use your skills to help people in humanitarian crises? At MapAction, you can do exactly that. We are offering an exciting opportunity for a Geospatial Data Engineer ready for their next challenge in a fast-paced, dynamic humanitarian response organisation. You’ll join our Technical Team to support the delivery of geospatial data processing and automation projects, working alongside an incredible community of expert volunteers and colleagues. In this role, you’ll contribute to four core areas of MapAction’s mission: emergency response, preparedness, anticipatory action, and training. These are at the heart of everything we do—and we’d love for you to be part of it. Why MapAction? MapAction is a leading humanitarian mapping charity delivering information services and products to enhance decision making in disasters and conflicts. In collaboration with our partners, this mapped information helps responders understand vulnerabilities and target their response effectively, contributing to saving lives and minimising suffering. We work through a team of skilled volunteer professionals and a small paid staff team. We have built a strong reputation in the humanitarian sector and are a technical partner of the United Nations and the Red Cross/Red Crescent Movement, as well as Non-Government Organisations such as World Central Kitchen. MapAction increasingly focused on helping Civil Society Organisations, regional entities and national ministries. The humanitarian sector is evolving, and technical expertise such as GIS, mapping, information management, data processing and visualisation are becoming increasingly utilised for improving decision making in complex humanitarian response. MapAction and our partners are uniquely positioned to provide technical expertise in support of this. We have an exciting and ambitious new strategy which will see us help reduce vulnerability in emergencies for those at greatest risk through supporting local technical and emergency leadership and promoting the exchange of well analysed data. A particular area of focus will be on the use of Anticipatory Action prior to an emergency. What will you do? You will be expected to conduct and automate data processing (extraction, transformation, loading) from various online sources. Requirements will be defined in collaboration with MapAction staff, volunteers or partners. Working with external partners such as UN agencies, NGOs and Disaster Management Agencies is a key part of this position. Main Responsibilities • Conduct and automate data collection and processing scripts, • Create and maintain optimal, performant data pipeline architectures, both internally and externally, • Propose improvements to infrastructure, schemas, platforms, toolchains and configurations, • Ensure find-ability. availability, scalability, reproducibility, accessibility, interoperability and reusability of all data-products, • Assist in the automation, provision and management of development environments, source-code, build-tools, pipelines and deployments, • Support ad-hoc Data Processing during MapAction’s Emergency Responses in collaboration with MapAction’s GIS Coordinator and Volunteer team, • Support data-related project scoping in collaboration with MapAction’s Head of Data & GIS, • Support internal systems maintenance and administration in collaboration with MapAction’s IT Support Engineer, • Engage with MapAction’s Volunteer team on data-related projects, • Support development of Data Engineer and Data Science training materials in collaboration with MapAction’s Head of Capacity Building and Volunteer team What are we looking for? If you feel you are a good match but do not feel like you meet all the requirements, we are still happy to receive your application! The core skills we look for in all of our team members are the following: • A desire to use their skills, experience and dedication in the cause of humanitarian ends, • Good team player with leadership and/or project management experience or ambition wherever possible, • Exceptional communication skills, to explain your work to people who don't understand the mechanics behind data analysis, and experience in understanding partner needs and requirements, in particular working with non-technical clients, • Adaptable, resilient and solution-oriented, • Self-motivated and organised, • Ability to improvise solutions for emergency response teams Essential: • Degree or equivalent experience in the field of Data Science, Data Engineering, Computer Science, Software Development, Information Technology or a related field, • At least one year of professional experience working in the area of data engineering, • Experience and proficiency working with Python and Jupyter Notebooks, • Experience working with geospatial data (raster and vector), • Databases (NoSQL, SQL, Graph Dbs, Principles of RDBs), • Data pipeline design skills, • Knowledge of cloud platforms like GCP, AWS or Azure, • Experience and understanding of CI/CD pipelines, • Collaborative code management using Git & GitHub Desirable: • Experience with QGIS or ArcGIS, • Experience with Systems Engineering, • Understanding of the Software Development Life cycle (preferably Agile), • Thorough grounding in containerisation e.g. Docker, Kubernetes, • Shell scripting, • Experience with BI, • An interest in software-engineering or data-science e.g. ML / DL / AI / Statistics, • Project management experience, • Humanitarian knowledge/experience Additional Information • This is a remote position and you will be expected to attend some weekend training events throughout the year (camping at various venues around the UK). Travel expenses are paid and reasonable time off in lieu provided., • This is a full time position for 12 months with a possible extension to be confirmed end of 2026, • Required to work remotely and to attend team days near the MapAction office in Oxfordshire at least 6 times a year, at own expense, • 30 days holiday (pro rata) with a workplace pension and also paid training opportunities to help further your career, • Must have the right to live and work in the UK - MapAction is unable to consider candidates who do not already hold appropriate permissions and can not help facilitate a relocation, • Part time of 4 days a week will be considered, please state when applying if you would like 4 or 5 days a week., • Contract may be extended if additional funding is secured This is an important role in a small, highly specialised charity and an appreciation of, and affinity with the humanitarian purpose of the charity is essential, as well as a willingness to take up additional tasks outside of the normal role when needed. Equal opportunities policy MapAction is an Equal Opportunities employer. All employees have a personal responsibility to promote and support measures designed to create a working environment which is free from harassment or discrimination on the grounds of gender, marital status, age, race, religion, disability, sexual orientation, membership of the Traveller community of HIV & AIDS status. MapAction also positively encourages women and those from the BAME community to apply. How to apply: Please provide a CV and cover letter that sets out how you meet the required competencies for the role, this is a mandatory requirement for this position. All applications should be made via our website and GoHire. Deadline for applications is 5th January 2026 however we are running a rolling recruitment and will interview any suitable candidates as soon as they apply.

Global supply chain is one of the hottest markets in technology – and Streamba has the world’s most advanced SaaS platform for managing it. We are busy deploying our cloud-native platform on assets around the world and supercharging our tech with machine learning and generative AI functionality. Streamba is a very exciting place to be at. The Customer Success Engineer (CSE) role provides our customers with deep subject matter expertise on cloud platforms, product solutions and best practices. Our CSEs ensure successful framing and deployment of our products with our customers – so you certainly need your passport ready to travel the world from Australia to Trinidad, the US to Qatar, and beyond. As a Customer Success Engineer at Streamba, you will play a critical role in ensuring that our customers realise maximum value from our products. You will act as the bridge between our engineering team and our customers, providing technical support, guidance, and solutions that drive customer satisfaction and retention. Key Responsibilities: • Technical Expertise: Serve as the primary technical contact for our customers, helping them to troubleshoot issues, optimise usage, and fully leverage our platform’s capabilities., • Onboarding: Lead technical onboarding sessions for new customers, ensuring a smooth and efficient implementation of our solutions., • Customer Advocacy: Work closely with customers to understand their needs and challenges, advocating for their requirements within our product development team., • Proactive Support: Anticipate customer needs by monitoring usage patterns and proactively suggesting improvements or additional features., • Collaborative Problem-Solving: Collaborate with our engineering and product teams to address complex technical issues, ensuring a quick resolution and continuous improvement of our offerings., • Documentation & Training: Develop and maintain comprehensive documentation and training materials to support our customers’ success., • Technical Background: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience., • Experience: +5 years in a customer-facing technical role (Customer Success, Technical Support, or Solutions Engineering) within the SaaS or technology industry., • Problem-Solving Skills: Strong analytical and problem-solving abilities, with a knack for troubleshooting complex technical issues., • Communication: Excellent verbal and written communication skills, with the ability to translate complex technical concepts into clear, user-friendly language., • Customer-Centric: Passionate about delivering exceptional customer experiences and building long-lasting relationships., • Team Player: Collaborative mindset with the ability to work effectively across departments and with diverse teams., • Impactful Work: Contribute to a fast-growing company that is delivering value to customers around the world., • Growth Opportunities: We’re committed to your professional development and offer opportunities for career progression and skill enhancement., • Inclusive Culture: Be part of a diverse, supportive, and innovative team that values your unique contributions., • Competitive Compensation: We offer a competitive salary, comprehensive benefits, and a flexible work environment., • 25 days annual leave plus 11 bank holidays., • Salary sacrifice pension scheme with 8% company contribution., • Employee Assistance Program (EAP)., • Performance bonuses, • Remote/hybrid working – office space in Glasgow & hot-desking in Edinburgh. No minimum requirement for office working., • Opportunities to visit customers around the world (from the USA to Australia and beyond)., • Flexible working for family needs, working abroad etc

Computer Vision Research Engineer (PAD) About iProov iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance. This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose. The Role Reports to: Platform AI Lead Location: WeWork Waterloo - Hybrid (2+ days a week in office) Comp: Negotiable (Base) + Company Performance Bonus (10%) + Share Options + UK iProov Benefits iProov is looking for a Computer Vision Research Engineer to join our Platform AI team. You will be responsible for working on the biometric systems, developing new techniques and algorithms ensuring security and performance. • Research, prototype, and evaluate new approaches to strengthen biometric security against both presentation attacks, such as masks, printed photos, and screen replays, and emerging threats such as face swaps, synthetic media, and injection attacks., • Improve the accuracy, robustness, and performance of our biometric systems through experimentation, model development, and analysis of system weaknesses., • Work closely with Data Engineers and Machine Learning Engineers to understand data challenges, investigate issues, and develop scalable solutions for biometric security., • Help develop datasets, tools, and evaluation methods that support the testing and improvement of biometric systems., • Proactively identify new attack patterns, failure modes, and opportunities to strengthen the resilience of our biometric systems., • Stay up to date with developments in computer vision, machine learning, and biometric security, and apply relevant ideas to our products., • Collaborate with engineers and researchers to share findings and bring new ideas into production., • A Masters or PhD in a numerate discipline such as Computer Science, Engineering, Computational Neuroscience., • Proven proficiency or experience in machine learning and computer vision., • Proactive, highly motivated, and curious, with a desire to understand problems and find effective solutions., • Comfortable turning ideas into experiments and prototypes, and using evidence to drive decisions., • Interest in modern AI technologies, including generative AI and agentic systems, and a willingness to explore how they can be applied to real-world problems., • Strong communication skills and enjoys working with cross-functional teams., • 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service), • Growth Shares allocated after passing probation (6 months of service), • Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme, • Nursery Sacrifice Scheme, • Work Overseas Perk - Work globally for up to 2 weeks, • Life Assurance, • SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family, • Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist, • Award winning L&D platform with personal allocated training budgets, • Enhanced paid family leave, • Pension - 5% employee, 3% employer, • Flexible hybrid working environment, • Free Barista Coffee/Tea, biscuits with fruit in the WeWork office, • Free access to WeWork discounts and free online well-being sessions, • Vitality Health - a range of options available on this below The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example: • Private Health cover including Dental, Optical, and Audiology, • 50% off monthly gym memberships, • Apple watches significantly discounted based member vitality status, • Half price trainers with Runners Need, • Weekly rewards – Free coffee with Café Nero, • Monthly rewards – Free Cinema ticket, • Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status, • Amazon prime free months based on activity, • Up to 25% cashback at Waitrose when buying healthy foods, • 75% off stays at Champneys Health Spas, • Allen Carr’s £299 no smoking programme for free, • Access to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace, • Discounts on Weight Watchers, • 50%-80% off Comprehensive Private Health screenings Our Culture & Recruitment Process At iProov, we're incredibly proud of the culture we've carefully curated. Our culture enables diverse thought, curiosity and innovation. Our team strives to do everything to the highest standard possible to achieve the remarkable. To do that we need different perspectives, experiences and ideas alongside an environment where these are welcomed - we want everyone to feel confident in bringing their full capabilities to work. We firmly believe psychological safety is key to building and nurturing great teams. We’re a small and dynamic company, that means having the right skills is important, and we know that our best work emerges when people feel secure, welcomed and respected. As an equal opportunities employer, we encourage applications from people of all backgrounds. We’re committed to building a workforce that is representative of the people we serve. We will not put someone at a disadvantage or treat them less favourably because of race, color, national origin, ancestry, age, disability, creed, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership, or pregnancy and maternity. Our goal is to find people who are passionate about creating a safer, more secure world. Our recruitment process is designed to be fair and transparent, focusing solely on your qualifications, competence, and suitability for the role. We review all applications carefully and will be in touch with shortlisted candidates regarding the next steps in our interview process. If you need an adjustment for a disability or any other reason during the hiring process, please send a request to _

At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management—and change lives along the way. As a Backend Software Engineer, you will be responsible for designing, building, and maintaining the server-side components of our applications. You will collaborate closely with product managers, frontend developers, and other cross-functional teams to deliver robust and scalable backend services that power critical features and support rapid growth. This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts. API & Service Architecture - Design and build RESTful or GraphQL APIs, microservices, and business logic using Node.js and TypeScript. Database Design & Integration - Model data and manage queries using Supabase and PostgreSQL, including functions, row-level security, and real-time features. Cloud Infrastructure - Deploy and manage services on Google Cloud Platform (GCP), particularly with Cloud Run, Cloud Functions, IAM, and Pub/Sub. Code Quality & Testing - Write clean, testable code using unit, integration, and end-to-end testing frameworks (e.g., Jest). Contribute to code reviews and quality assurance practices. Security & Reliability - Implement secure-by-default solutions for authentication, authorization, and data protection, following Clean Code and Clean Architecture principles. Monitoring & Operations - Set up logging, monitoring, and alerting for backend services. Own incident response and uptime improvements. Team Collaboration - Participate in architecture discussions, mentor team members, and document your decisions and systems for internal knowledge sharing. 5+ years in backend engineering roles; Proficiency in Node.js and TypeScript; Strong experience with Supabase or equivalent PostgreSQL-based backend services; Hands-on experience with cloud platforms (e.g., GCP, AWS, Azure), including deploying and managing services using serverless compute (e.g., Cloud Run, AWS Lambda, Azure Functions); Solid knowledge of Clean Code and Clean Architecture practices; Experience with API design (REST) and cloud-native application development; Familiarity with CI/CD pipelines, testing tools, and Git workflows; Strong grasp of security principles, data protection, and compliance best practices; Effective communicator and proactive team contributor; Apple hardware ecosystem for work. Annual Bonus Top-tier Health and Life Insurance for peace of mind. Transportation Budget to support your commute needs. Coverflex benefits package for meal allowances, well-being, and more. Childcare support. Air Conference - an opportunity to meet the team, collaborate, and grow together. Pension Fund to support your long-term financial planning. Urban Sports Club membership to keep you active. Meals 100% free at the hub. At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger. At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal, in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management—and change lives along the way. As a Site Reliability Engineer (SRE) at Air Apps, you will be responsible for ensuring the reliability, availability, and scalability of our systems. You will work at the intersection of software development and operations, implementing automation, monitoring, and performance optimization strategies to minimize downtime and improve system resilience. This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts. Design and implement scalable, reliable, and fault-tolerant systems across cloud environments. Develop and maintain observability tools, including monitoring, logging, and alerting (e.g., Prometheus, Grafana, Datadog, ELK). Automate infrastructure provisioning, deployment, and incident response using Infrastructure as Code (IaC) tools like Terraform or CloudFormation. Optimize system performance, scalability, and incident response workflows to improve uptime. Work closely with development and DevOps teams to improve system design for reliability. Conduct root cause analysis (RCA) and implement preventative measures to minimize failures. Ensure high availability by designing and maintaining load balancing, failover, and disaster recovery strategies. Improve CI/CD pipelines to enhance deployment speed while maintaining stability. Optimize cloud cost and resource utilization for AWS, Azure, or Google Cloud Platform (GCP). Participate in on-call rotations to quickly address system failures and minimize downtime. Around 4+ years of experience in Site Reliability Engineering (SRE), DevOps, or System Engineering. Strong knowledge of cloud platforms (AWS, Azure, or GCP) and cloud-native architectures. Experience with observability and monitoring tools (Prometheus, Grafana, ELK, Datadog, New Relic). Proficiency in Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Pulumi. Hands-on experience with containerization and orchestration (Docker, Kubernetes, Helm). Strong Linux system administration and networking fundamentals. Experience with incident management, debugging, and root cause analysis. Proficiency in scripting (Bash, Python, or Go) for automation and system monitoring. Knowledge of load balancing, failover strategies, and distributed systems. Understanding of security best practices, access control, and compliance requirements. Strong communication skills and the ability to collaborate with cross-functional teams. Apple hardware ecosystem for work. Annual Bonus Top-tier Health and Life Insurance for peace of mind. Transportation Budget to support your commute needs. Coverflex benefits package for meal allowances, well-being, and more. Childcare support. Air Conference - an opportunity to meet the team, collaborate, and grow together. Pension Fund to support your long-term financial planning. Urban Sports Club membership to keep you active. Meals 100% free at the hub. At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger. At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

Lead AI Engineer – Intelligent Agents (Audio Focus) Are you ready to shape the next frontier of AI-powered audio experiences? Our client is launching an AI Studio to transform how we deliver curated music and intelligent audio services to businesses across the globe. We're looking for a forward-thinking Lead AI Engineer to lead the development of intelligent agents that supercharge our music curation, content ingestion, and customer service capabilities. This is your chance to combine cutting-edge AI innovation with the creativity of commercial audio - creating tools that augment human expertise, not replace it. What You’ll Do AI Agent Development • Design and build AI agents using Python and frameworks like OpenAI Agents SDK, LangChain, AutoGen, and Google ADK, • Create multi-agent orchestration systems for complex workflows (e.g., music curation, content analysis, scheduling), • Integrate multimodal AI models, including voice synthesis and music understanding Audio Technology Integration • Work with libraries such as LibROSA and PyDub to enable audio analysis and processing, • Develop tools for BPM detection, genre classification, energy and mood mapping, • Create systems for automated content compliance and rights management Platform Engineering • Build scalable AI platforms that interface with our music management systems, • Develop APIs and edge AI capabilities for real-time audio delivery in retail environments, • Establish performance metrics to evaluate AI agent outcomes and business impact Innovation Leadership • Lead generative AI experimentation in music and voice, • Evaluate emerging AI trends for commercial audio application, • Mentor junior engineers and share best practices in AI agent development Cross-Functional Collaboration • Translate business needs into intelligent, scalable AI solutions, • Work closely with music curators and product teams to align technology with creativity, • Present AI initiatives and outcomes to internal and external stakeholders Essential • Degree in Computer Science, Engineering, or related field (or equivalent experience), • 1+ years of hands-on AI agent development (multi-agent systems a plus), • Strong Python programming skills and experience with modern AI/ML frameworks, • Familiarity with LLMs, prompt engineering, CoT reasoning, and AI orchestration tools, • Solid understanding of audio processing and music tech, • Proven ability to build and integrate APIs and scalable systems, • Experience identifying AI use cases and translating them into business value Preferred • Experience with LibROSA, Essentia, or other audio analysis libraries, • Knowledge of computational musicology and MIR, • Familiarity with semantic search, vector databases, and explainable AI, • Understanding of music licensing and rights management, • Background in retail tech or B2B SaaS is a plus What We Offer • A unique opportunity to shape the future of AI in music and audio tech, • Work alongside industry-leading music curators and audio professionals, • Access to extensive music libraries and real-world deployment environments, • A creative, collaborative culture that values innovation and integrity Ready to lead the AI audio revolution? Interested? Please Click Apply Now!

📈 Who We Are: We are rebuilding the energy transaction, making it transparent and fair. Our goal is to put power back where it belongs, in the hands of customers and to take on one of the most critical problems of our century, access to low cost electricity. tem exists to fix a broken global energy market that’s long favoured legacy operators, intermediaries, and opaque pricing. Today’s electricity system was not designed for rapid decarbonisation, AI-driven efficiency or fair access for the actual users - businesses and generators. We’ve built the first AI native transaction infrastructure to reinvent how electricity is bought, sold and priced. Our technology is designed to cut out the inefficient fees, automate complex market flows, and bring transparency and fairness to energy transactions at scale. In late 2025, after extraordinary growth, we closed a $75 million Series B - led by Lightspeed Venture Partners with participation from Albion, Atomico, Allianz, Hitachi Ventures,, Hitachi Ventures, Schroders Capital and others - positioning us for global expansion, deeper product innovation and category leadership. We’re scaling internationally and building toward a future where AI-driven infrastructure is foundational to electricity markets worldwide. Since launch, our modern utility product, known as RED, has already facilitated thousands of business customers and billions in energy transaction value, proving that modern software and AI can transform an industry built on legacy systems. At tem, we’re not just building another energy company, we’re rearchitecting market infrastructure so that transparency, efficiency and sustainability become the default, not the exception. 🏅 The Role: Rosso is tem's core IP, the transaction infrastructure that prices electricity for thousands of businesses, balances portfolios in real time, and sits on the critical path for every deal tem closes. Machine learning is at the heart of Rosso, combining forecasting, optimisation and classical ML to process billions of data points and drive thousands of automated decisions a day. Every inference shapes the prices our customers see, so you can immediately see the impact of your work. We have proved the concept with MVPs and POCs to grow to 2% of the UK market. Now we want to take it to the next level and build towards a state of the art solution, to fuel our expansion in the UK and take Rosso international. We're looking for a Senior Staff Machine Learning Engineer to lead pricing ML within Rosso, building a platform that proactively drives growth by targeting the right customers to sign at the right time. Your primary focus will be the pricing engine, which sets the fees added to every quote tem serves, carefully balancing growth and margin. You will also contribute to the systems which manage both short and long-term imbalance decisions to determine how tem deals with it’s exposure across its portfolio. This is a hands-on, senior individual contributor role with significant technical leadership and organisation-wide influence. You will work closely with other MLEs, software engineers and MLOps to bring models to production, and carry real ownership of the technical direction and accountable for its performance. The right person is energised by the greenfield environment: comfortable taking on ambiguity and able to make progress before the path is fully defined. They have built pricing systems that worked and have learned from the times it hasn't. They'll bring that hard-won judgment to a system where the foundations are still being laid, and where early decisions compound. Success will be turning our current reactive system into a pricing engine which proactively drives growth by targeting the right customers to sign at the right time. 🚀 Responsibilities: Own the technical direction for pricing ML: Define what to build and how within the pricing engine, setting the strategy and roadmap for pricing machine learning as a core piece of tem's IP. Build ML systems for price optimisation: Design and implement models that dynamically set prices, balancing the trade-off between signing probability, portfolio balance and margin maximisation. Solve imbalance problems: Develop probabilistic models to optimise risk management and short-term balancing decisions in a highly dynamic environment. Bridge modelling and production: Own the modelling and data layer while working closely with software engineers and MLOps to ensure models are architected for production, contributing to system design decisions that affect performance and reliability. Communicate pricing decisions clearly: Articulate model behaviour, assumptions, and trade-offs to other technical stakeholders so that pricing decisions are understood across the teams that depend on them. 🎯 Requirements: Must-haves: Deep experience building ML systems for pricing, revenue optimisation, or decision-making under uncertainty, with a track record of models that went from concept to production and delivered measurable commercial impact. Strong foundation in stochastic optimisation and probabilistic modelling, with the judgement to formulate ambiguous business problems as the right mathematical approach rather than reaching for familiar tools. Proven first-principles reasoning: you choose between stochastic programming, classical ML, reinforcement learning, or a simple heuristic based on the problem, not the technique you know best. The engineering craft to match your modelling depth: production-grade Python, a high bar for code quality and system design, and the ability to work alongside software engineers as a technical peer across the full ML lifecycle. Senior technical leadership in ML: a track record of setting direction for a significant technical area, influencing cross-functional teams, and translating complex model decisions into clear terms for commercial, product, and engineering stakeholders so they are understood and acted on. Bonus points: Experience with reinforcement learning or causal inference in applied, commercial settings. Familiarity with energy markets, power trading, or portfolio management. PhD or equivalent research depth in a quantitative discipline (statistics, applied mathematics, physics, operations research, or similar). Ability to reason about the trade-offs between optimisation solvers (Gurobi etc) and gradient-based ML methods (PyTorch etc), and the judgement to know when to reach for each. Experience working with high data throughput systems in production. 🗣️ Interview Process: Our processes normally take around 2-3 weeks from first call to offer - please let us know about any adjustments to timelines that may be required. First call with our Talent Team (30 mins). This is to understand your experience, motivations, and discuss the role in more detail. Behaviour Interview with our Head of Data (60 mins). This is your chance to really understand the role, the expectations, and ensure alignment on ways of working. Technical Interview with the Team (90 mins). You'll meet with potential peers in this session and work through a live technical exercise. Culture-Add Interview with Stakeholders (45 mins). The final session will be with two cross-functional stakeholders, and will explore how your values align with ours, and is designed to be a genuine two-way conversation, your chance to understand what it's really like to work at tem. We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally underrepresented in the tech and energy sectors. If you’re excited about this role but not sure you meet every requirement, we’d still love to hear from you. Your unique perspective could be exactly what we’re looking for.

At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride! French fluency is required We are seeking a highly consultative, commercially minded Senior Solutions Engineer to support our most strategic accounts. This role is a critical technical seller position, owning pre-sales technical strategy, shaping customer requirements early, and influencing outcomes in complex, competitive sales cycles. You will act as a trusted technical advisor and champion owner, partnering closely with Account Executives, Post Sales, and Product teams to drive measurable business and technical value through Technical Selling & Deal Shaping, Technical Champion Ownership & Thought Leadership, Customer & Internal Advocacy and Competitive & Strategic Selling This role reports to the Director of Solutions Engineering and operates at the intersection of technical depth, business acumen, and competitive selling discipline. Technical Selling & Deal Shaping: Lead technical discovery to deeply understand customer business objectives, constraints, success criteria, and buying drivers. Shape technical requirements early in the sales cycle to align customer outcomes with Docker’s differentiated value. Design, position, and execute structured PoCs and PoVs, including defining success criteria, evaluation plans, and exit strategies. Influence customer decision-making through workshops, whiteboarding sessions, and technical executive briefings. Translate complex technical capabilities into clear business value narratives. Technical Champion Ownership & Thought Leadership: Build, own, and expand relationships with customer technical champions and influencers. Establish credibility as a trusted advisor through technical thought leadership, architectural guidance, and industry best practices. Leverage champion relationships to influence broader buying groups, shape requirements, and uncover cross-sell and expansion opportunities. Maintain engagement beyond initial sale ensuring outcomes are realized and leveraging insights to support future sales motions. Customer & Internal Advocacy: Advocate for customer needs with Product and Engineering, providing clear, actionable feedback informed by field experience. Coordinate with Post Sales and Support resources to ensure continuity across the customer lifecycle. Develop reusable technical assets (workshops, demos, reference architectures, enablement content) to scale impact across accounts. Competitive & Strategic Selling: Actively support competitive sales motions by identifying differentiation and influencing evaluation criteria throughout the cycle. Partner with Sales to develop technical win strategies for strategic and competitive accounts. Proven experience as a Solutions Engineer, Sales Engineer, or Solution Architect in complex enterprise sales. Strong experience running competitive PoCs/PoVs with clearly defined success and exit criteria. Ability to engage credibly with senior technical and business stakeholders. Solid understanding of cloud platforms (AWS, Azure, GCP), containers, DevOps, and modern application architectures. Experience with Docker, container ecosystems, or adjacent technologies strongly preferred. Development, Agentic AI dev, Software Development Lifecycle and/or Software Supply Chain Experience experience strongly preferred. Excellent communication, influence, and stakeholder management skills. Willingness to travel to customer sites as required. Fluency in French and English You will be welcomed with a first-in-class onboarding experience that includes equipment setup, a sweet swag package, and a collaborative training program You will learn how to navigate through award-winning sales tools such as; Salesforce, Outreach, SalesForce, Looker, and Docker. Actively engage with senior stakeholders, and manage relationships with clients You will work closely with your peers and partner with CSMs to develop strategies to advocate for our customers. At the end of your first month, you will have a proficient grasp of the tools and activities necessary to be successful in your role. You will be laser-focused on supporting the CS Team during your second month. You will have connected with all of your Team members. You will gain in-depth knowledge of Docker’s products and how they impact our customers. You will have an advanced understanding of tools, activities, and best practices to be successful in your role. In month three, you will be confident in your craft and ready to immerse yourself in our customer’s business needs fully. You will continue efforts to improve messaging, processes, and activities. Educate our clients about our product roadmap and undertake product training for users You will be ready to operate independently at full speed. Docker does not offer visa sponsorship for this role. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using _ on April 13, 2024. Please see the independent bias audit report covering our use of Covey _. Perks Freedom & flexibility; fit your work around your life Designated quarterly Whaleness Days plus end of year Whaleness break Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave Technology stipend equivalent to $100 net/month PTO plan that encourages you to take time to do the things you enjoy Training stipend for conferences, courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. #LI-REMOTE

Technical Account Manager London - Hybrid or UK - Remote About Snowplow Snowplow is the global leader in customer data infrastructure for AI, enabling every organisation to transform raw behavioural data into governed, high-fidelity fuel for AI-powered applications—including advanced analytics, real-time personalisation engines, and AI agents. Digital-first companies like Strava, HelloFresh, Auto Trader, Burberry, and DPG Media use Snowplow to collect and process event-level data in real time, delivering it securely to their warehouse, lake, or stream, and integrate deep customer context into their applications. Thousands of companies rely on Snowplow to uncover customer insights, predict customer behaviours, hyper-personalise customer experiences, and detect fraud in real time. The Opportunity The Technical Account Manager (TAM) sits within our Technical Services team and reports to the Technical Account Management Lead. This customer-facing role blends technical expertise with consultative support, helping customers solve problems and get value from their data using Snowplow. We view customer activation as key to retention and success. TAMs work closely with clients to understand their data goals and design tailored implementations that drive business outcomes. We’re looking for a technically savvy, data-driven individual who thrives in a fast-paced environment and enjoys working with data teams to co-design solutions, implement use cases, and demonstrate impact. The role involves close collaboration with cross-functional teams—Engineering, Product, Sales, Support, and Marketing—to optimise customer strategies and expand use cases. What you'll be doing: ● Partner with various Snowplow team members to support customer accounts, collaborating with them to deliver value within their unique and complex organisations.● Provide consultation and advisory support to customers regarding solutions and use case development, by providing actionable execution of success criteria and solutioning complex problems.● Work with customers to identify, diagnose and resolve technical challenges with their Snowplow solution – including front-end implementation, data modelling, real-time data processing, and more.● Educate and enable our customers through tailored workshops and advisory sessions.● Collaborate with our Solution Architects, to develop and evolve technical assets such as data models, implementation strategies, architectures, and supporting code to bring value to our customers as well as our internal teams.● Develop domain expertise in key verticals through deep customer collaborations, general research and industry events/conferences.● Work closely with the Customer Success and Strategic Account Management teams to develop long-term strategies and roadmaps for activation and adoption of Snowplow’s products. ● Continue learning and staying current with our products and related technologies, to assist and train both customers and other team members We’d Love to Hear From You If Have: ● A solid understanding of the data space - cloud infrastructure, database technologies, visualisation tools and other enabling technologies in the modern data stack.● Experience working either client-side or agency-side as an analyst, analytics engineer, data engineer, data consultant, or data scientist.● SQL and data modelling experience, and proficiency at manipulating data.● Experience with direct management of a customer portfolio for continual successPrevious experience designing and implementing complex software solutions, including gathering/developing requirements and interacting with senior technical stakeholders (e.g. CTO, VP, Tech Lead). ● Previous experience of using Snowplow, (either BDP or open source) is ideal but not required What We Offer You in Return: 💰 A competitive package, including share options🧘 Flexible working🏖 A generous holiday allowance no matter where you are in the world💻 MacBook and home office equipment allowance👪 Enhanced maternity, paternity, shared parental and adoption leave Snowplow is dedicated to building and supporting a brilliant, diverse and hugely inclusive team. We don't discriminate against gender, race, religion or belief, disability, age, marital status or sexual orientation. Whatever your background may be, we welcome anyone with talent, drive and emotional intelligence.

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with or self-managed with the , both featuring scalable metrics (), logs (), and traces (_). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Engineering Manager - Platform - Usage This is a remote position. We are considering candidates in Germany, Sweden, Spain, Ireland and the UK only. The Opportunity: Application Core Services (AppCore) is a group within Platform, in the Foundations department. Foundations produces the Internal Engineering Platform (IEP) and partners closely with our Cloud, Enterprise, and Grafana teams. Our team develops the essential systems driving Grafana's business operations. We utilize the grafana.com platform to engineer bespoke integrations and solutions that unify the diverse technical ecosystem of a modern software enterprise. The team owns important domain areas that help keep both our customer workflows and internal business processes running smoothly. AppCore is made up of multiple squads, each focused on one or more of these domains. Our work includes maintaining the billing engine responsible for customer usage calculation, automating provisioning after a customer signs a contract, integrating with cloud marketplaces such as AWS, Azure, and GCP, and building and maintaining the user portal our customers rely on to manage their accounts. This is a team working at the intersection of product, platform, and business operations. The systems we build are critical to how Grafana scales. We are looking for a proven leader who enjoys guiding teams in solving complex workflow and systems problems, driving improvements in reliability and developer experience, and building software that directly supports both customers and internal stakeholders. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a unique perspective to the software. Engineering Managers at Grafana also have the opportunity to contribute to Open Source communities and collaborate across teams beyond their immediate scope. What You’ll Be Doing: • Manage and grow a distributed team of engineers, conducting regular 1:1s, providing consistent feedback, and supporting individual performance and career development., • Partner with product management and engineering leadership to shape the Usage squad's roadmap, strategy, and OKRs, ensuring alignment with overall company mission and customer impact., • Guide the team through the full project lifecycle, from early technical design and scoping to delivery and post-launch iteration, ensuring high-quality and timely outcomes within the Usage domain (e.g., billing engine, cost management and billing app, reconciliation systems)., • Act as a project manager, facilitating collaboration with Product, DealOps, GTM, Pricing and Monetization, Support, and adjacent AppCore squads to remove blockers and ensure coordinated delivery across service boundaries., • Foster a high-trust, security-first team culture that embraces thoughtful AI-assisted development practices to enhance engineering workflows and eliminate toil., • Contribute to hiring and talent acquisition efforts, partnering with People Ops to attract and retain a diverse group of engineers. What Makes You a Great Fit: • Experienced in people management, including conducting regular 1:1s, delivering candid feedback, and supporting career growth and performance conversations., • You are a leader who empowers engineers, focusing on setting clear direction, aligning on outcomes, and identifying risks early rather than providing task-level oversight., • Transparent and direct by default; you advocate clearly for your reports and proactively resolve ambiguity or conflicts, especially when priorities collide., • A strong communicator who thrives in a fully remote and globally distributed environment, comfortable collaborating asynchronously across time zones and cultures., • You take initiative and can move work forward in complex, systems-focused problem spaces, such as stateful systems, eventual consistency, and reconciliation loops. Requirements: • Minimum 2 years of experience managing software engineering teams., • Prior experience as an Individual Contributor (IC) in a related engineering role for at least 3 years., • A strong software engineering background, ideally including experience in backend systems (like Go), sufficient to credibly engage in technical design discussions and challenge the team toward strong decisions., • Solid understanding of distributed systems principles, including scalability, fault tolerance, consistency, and observability., • Demonstrated ability to manage delivery across multiple concurrent projects, align stakeholders with competing priorities, and clearly communicate risks and timelines., • Comfortable working with engineering teams who have a strong sense of autonomy in their decision-making., • Deeply customer-focused, consistently grounding technical decisions in real-world user and business impact., • Comfort with AI-assisted tooling and an expectation that you are curious and comfortable integrating AI-powered tools into a team's workflow. Bonus Points For: • Experience with high-volume billing systems, usage metering, and customer-facing cost management applications (like CMAB)., • Practical experience implementing and automating complex pricing logic, promotions, discounts, rebilling, and usage forgiveness, while ensuring strong auditability., • Familiarity with cloud marketplace integrations (AWS, Azure, GCP) and compliance or system refactoring related to IT General Controls or Role-Based Access Control (RBAC)., • Experience working on SaaS provisioning, tenancy, regional expansion, plugin rollout, or customer lifecycle systems., • Experience with Kubernetes control-plane patterns, operators, reconcilers, or desired-state systems., • Familiarity with observability tooling (e.g., Grafana, Prometheus, OpenTelemetry)., • Experience contributing to or maintaining open source projects. Compensation & Rewards: In the UK, the Base compensation range for this role is GBP 103,000 - GBP 129,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Location: Remote Salary: £75,000 - £85,000 At Arbor, we’re on a mission to transform the way schools work for the better. We believe in a future of work in schools where being challenged doesn’t mean being burnt out and overworked. Where data guides progress without overwhelming staff. And where everyone working in a school is reminded why they got into education every day. Our MIS and school management tools are already making a difference in over 12,000 schools and trusts. Giving time and power back to staff, turning data into clear, actionable insights, and supporting happier working days. At the heart of our brand is a recognition that the challenges schools face today aren’t just about efficiency, outputs and productivity - but about creating happier working lives for the people who drive education everyday: the staff. We want to make schools more joyful places to work, as well as learn. We are looking for an experienced and highly technical Senior Product Engineer to join our Engineering team and help us implement and deliver large projects and advocate for high engineering standards. The remit and focus of the role is to be a key driver in the team, taking responsibility for developing and owning features and core components of the company's core systems and processes, as well as auxiliary services where needed. It’s a broad and exciting role, so we’re looking for someone up for a challenge - if you’re a proactive and collaborative Senior Product Engineer, this is the role for you. Core responsibilities • Build, maintain and scale platform-level back-end services to enhance and serve our Data and AI capabilities for internal and external customers., • Leverage these Data and AI capabilities to build and ship new features within the core Arbor product suite., • Own the successful delivery of high-impact features, directly contributing to the advancement of Arbor products., • Drive the development and implementation of advanced tests for new and existing features, ensuring high test coverage and reliability standards., • Proactively identify, take ownership of, and resolve critical system bugs and issues using advanced problem-solving skills and comprehensive system knowledge., • Maintain high code quality standards through thorough, constructive code reviews, ensuring solutions are well-tested, scalable, and maintainable., • Produce well-architected, efficient, and scalable code by applying industry-leading design patterns and methodologies., • Create and maintain thorough technical documentation and diagrams that promote best practices and ensure clear communication., • Collaborate closely with the Engineering Manager, Tech Lead, QA Engineer, and Product Manager to address feature requests., • Support the Engineering Manager with interviews, scrum ceremonies, and the implementation of strategies to improve and optimise product quality and lead time, demonstrating a comprehensive understanding of the development lifecycle and processes., • Support the Tech Lead in developing technical roadmap solution designs, identifying areas for improvement, prioritising, and executing technical debt reduction., • Act as a role model for technical excellence through code reviews, pair programming, and actively mentoring and coaching mid-level and junior engineers in best practices, fostering knowledge transfer within the team., • Actively lead and participate in tech talks, workshops, and team-based learning initiatives., • Demonstrable experience building back-end Python-based services, • Previous experience building features in PHP, • Experience with enterprise solutions and large-scale systems., • Demonstrated knowledge of database technologies (SQL and NoSQL) and best practices for data modelling and performance optimisation., • Proven experience in managing large, technical projects and delivering high-quality, impactful results with minimal supervision., • Proven experience designing and writing APIs and services within a service-oriented environment., • Applies best practices and software engineering principles (e.g., SOLID, DRY) effectively., • Demonstrated knowledge of software best practices, including refactoring, writing clean code, and Test-Driven Development (TDD) and Test Automation., • Understands Scrum methodology or other agile development processes., • Demonstrates leadership through collaboration, mentorship, and a proactive approach to problem-solving., • Possesses excellent written and spoken English skills, with the ability to communicate clearly to both technical and non-technical stakeholders., • A driven team player who actively participates in discussions and readily offers assistance to others. The chance to work alongside a team of hard-working, passionate people in a role where you’ll see the impact of your work everyday. We also offer: • A dedicated wellbeing team who champion initiatives such as mindfulness, lunch n learns, manager training, mental health first aid training and much more!, • 32 days holiday (plus Bank Holidays). This is made up of 25 days annual leave plus 7 extra company wide days given over Easter, Summer & Christmas, • Life Assurance paid out at 3x annual salary, • Comprehensive wellness benefit provided by AIG Smart Health, which provides a 24/7 virtual GP service, Mental health support, Counselling, and personalised Health Checks, • Private Dental Insurance with Bupa, • Salary sacrifice Pension provided by Scottish Widows, • Enhanced maternity and adoption leave (20 weeks full pay) and paternity (6 weeks full pay) pay, • 5 free return to work maternity coaching sessions, helping you adapt to this new exciting time of life!, • Access to services such as Calm and Bippit (financial wellbeing coaching), • All of our roles champion flexible working and we are happy to discuss what this means to you, • Social committees that plan team, office and company wide events to bring people together and celebrate success, • Dedicated professional development training budget (CPD courses, upskilling resources, professional memberships etc), • Volunteer with a charity of your choice for a day each year, • Dog friendly offices!, • Phone screen, • 1st stage, • 2nd stage We are committed to a fair and comfortable recruitment process, so if you require any reasonable adjustments during your application or interview process, please reach out to a member of the team at _. Our commitment is also backed by our partnership with Neurodiversity Consultancy, Lexxic who provide us with training, support and advice. Our goal is for Arbor to be a workplace which represents, celebrates and supports people from all backgrounds, and which gives them the tools they need to thrive - whatever their ambitions may be so we support and promote diversity and equality, and actively encourage applications from people of all backgrounds. Know someone else who would be good for this role? You can refer a friend, family member or colleague, if they are offered a role with Arbor, we will say thank you with a voucher valued up to £200! Simply email: _ Please note: We are unable to provide visa sponsorship at this time.

About Us _ is not your regular deep-tech startup. We are creating the next-generation AI platform to support anyone who wants to help advancing humanity and improve the world around us. In just four years, we have raised a total of $120 million and have built a world-class team of 220+ employees (including 49+ PhDs with more than 40,000 citations), both remotely from 17 different countries and with offices in Belgium, France, Switzerland, Italy, the UK, headquartered at the High Tech Campus in Eindhoven, Netherlands. We have also launched our Metis™ AI Platform, which achieves a 3-5x increase in efficiency and performance, and have visibility into a strong business pipeline exceeding $100 million. Our unwavering commitment to innovation has firmly established us as a global industry pioneer. Are you up for the challenge? Position Overview As a Logical Design Engineer, you will join a team responsible for the micro-architecture, implementation and execution of in-house designed AI products. Your role will be critical in achieving the highest level of quality and performance as well as ensuring continued innovation in both design and design flow. This is an opportunity to work with cutting-edge technology and a dedicated team of professionals who share your passion for pushing the boundaries of what's possible. Key responsibilities: Collaborate with cross-functional teams to clarify and comprehend intricate design specifications and requirements. Architect and implement advanced micro-architectures from high-level specifications for silicon components, adhering to performance, power, and area (PPA) metrics. Employ industry-standard design tools and methodologies to fashion and optimize digital logic circuits. Conduct block and system-level RTL coding, ensuring optimal performance, power, and area (PPA) metrics. Integrate various IPs/Sub IPs into the top-level SoC. Perform static checks (lint, cdc, equivalence checks) to enhance the quality of the RTL. Automate tasks using scripting for efficiency gains. Undertake comprehensive functional verification and collaborate closely with verification engineers to ensure the correctness of the design. Actively engage in design reviews, contributing technical expertise to enhance overall design quality. Work collaboratively with physical design engineers to address design-for-manufacturability (DFM) and design-for-test (DFT) considerations. Qualifications / skills Education: A degree in electronics engineering, electrical engineering or computer science or other relevant discipline. Experience: A minimum of 5 years of experience and proven expertise in silicon logical design, with a successful track record in RTL coding and synthesis, digital design, SoC, and integration of 3rd-party IPs (PCIe, LPDDR), with fluency in Verilog. Expertise: Mastery of industry-standard Electronic Design Automation (EDA) tools for design and verification. Deep understanding of intricate digital design principles, covering clock domain crossing, low-power design, and timing closure. Scripting: Proficiency in scripting languages such as Python, shell or Tcl for automation. Collaboration / Team Player: Demonstrated ability to work closely with architecture, verification, physical design and software teams to ensure comprehensive verification coverage. Problem Solving: Strong analytical and problem-solving skills. Communication: Excellent written and verbal communication skills in English. Comfortable working with a team spread across 15 countries. Location We offer a flexible working arrangement, with options to: Work from one of our Axelera AI offices (Leuven in Belgium, Amsterdam and Eindhoven in the Netherlands, Zurich in Switzerland, Florence and Milan in Italy or Bristol in the United Kingdom) if you're already based in the vicinity. Work fully remotely from any European country (incl. the UK) you are already in. Relocate with us and work from Italy (Florence or Milan) or the Netherlands (Amsterdam or Eindhoven). What we offer This is your chance to shape and be part of a dynamic, fast-growing, international organization. We offer an attractive compensation package, including a pension plan, extensive employee insurances and the option to get company shares. An open culture that supports creativity and continual innovation is awaiting you. Collaborative ownership and freedom with responsibility is characteristic for the way we act and work as a team. At Axelera AI, we wholeheartedly embrace equal opportunity and hold diversity in the highest regard. Our steadfast commitment is to cultivate a warm and inclusive environment that empowers and celebrates every member of our team. We welcome applicants from all backgrounds to join us in shaping the future of AI.

We help the world Be Everyday Ready™ Today’s threatscape is relentless. So are we. At Cyderes, we specialize in building practical IAM, exposure management, and risk programs, and stopping active threats fast with MDR that works with your existing security tools — all augmented by AI and driven by seasoned operators. Our tireless global team is laser-focused on cybersecurity, arming organizations with the people, platforms, and perspectives they need to conquer whatever tomorrow throws their way. About the Role:The IAM Consultant, SailPoint ISC is a customer-facing consultant responsible for implementing the technical deployments of IAM solutions at Cyderes. They work on customer projects and programs, directly with the Engagement Lead and Project Manager to deliver outstanding solutions. They maintain a high-quality of work and delighting our clients. The IAM Consultant will be well-versed in their area of expertise and will focus on delivering SailPoint. The consultant will provide subject matter expertise in SailPoint during consulting engagements, which assess, define, install, and configure a client’s security capabilities in the policy, process, technology, or organizational areas. The IAM Consultant also identifies gaps and recommends cost effective best practices to manage client risk and increase their understanding of security and privacy risk and compliance. • Work as part of a high-end consulting team to deliver product and domain expertise in Identity & Access Management, • Work on the technical delivery of IAM implementation projects, • Help gather business and technical requirements from the customer, • Provide input to functional and technical design where required, • Ensure that the technical solution meets the customer requirements and performs as per design, • Create customer delivery documentation such as implementation and configuration documents, test plans and run books, • Provide assistance to pre-sales activities such as developing client focused proposals, and running technical PoC’s, • Work closely with project manager and engagement manager to deliver tasks on time, within budget and with high quality, • Identify new and existing customer opportunities, • Help create strong customer relationships with technical stakeholders, • Share best practices with team members to contribute to enhance the IAM center of excellence, • 2+ years of hands-on experience in SailPoint ISC doing:, • Installation and configuring, • Developing lifecycle workflows, • Onboarding applications with automated provisioning, • Configuring reports and dashboards, • RBAC and Access Reviews, • Experience with databases (such as Oracle, MSSQL, MySQL), • Experience with Java or BeanShell and PowerShell preferred, • Experience with the web technologies such as XML, SPML, Web Services (SOAP/REST), web and application servers, • Strong communications skills (written and verbal), • SailPoint ISC Engineer Certification - preferred, • Readiness to travel up to 20% annually.Cyderes is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to race, religion, color, sex, age, disability, sexual orientation, genetic information, national origin, or veteran status. Note: This job posting is intended for direct applicants only. We request that outside recruiters do not contact us regarding this position.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Salary: £40,000 - £50,000 Location: We’re looking for someone based in the UK to help us better support our clients and collaborate closely with our wider team. This is a remote role, so you can work from wherever you feel most comfortable. --- At Substrakt, a UK based company with Global impact, we help arts and cultural organisations create exceptional digital experiences and we’re looking for a Backend Engineer to help us do just that. As part of our Engineering team, you'll build robust, high-quality backend solutions that power our clients’ websites and digital products. From new website builds and custom integrations to performance optimisations and security enhancements, you’ll play a vital role in delivering outstanding products and services. Substrakt is an equal opportunities employer. We believe that diversity of thought and experience makes us stronger, and we actively encourage applications from people of all backgrounds, identities, and abilities. Read more about our approach to _. • Create exceptional backend solutions: Work on a range of projects across our client base including new builds, updates to existing websites, API integrations, infrastructure configurations, and other server-side tasks. You’ll work with modern technologies such as PHP, WordPress, MySQL, SQL, Python, Wagtail, Heroku and AWS (S3, CloudFront, RDS) - always with performance, security, and scalability in mind., • Ensure quality and performance: Write clean, efficient, and secure code following best practices. You’ll test thoroughly, debug issues, and optimise performance to ensure reliable and seamless user experiences. You’ll also contribute to code reviews and help maintain our high technical standards., • Collaborate and contribute: Work closely with frontend engineers, designers, and client-facing roles to ensure smooth delivery. You’ll communicate directly with clients when needed to explain technical decisions, and support Producers and Support & Solutions Managers in scoping and technical planning., • Own your work: Take responsibility for the technical quality of your solutions, contribute to internal best practices, and help shape the future of our backend engineering processes. You’ll participate in solution reviews, submit and conduct code reviews, maintain technical documentation, and support continuous improvement., • Strong experience in backend development using modern frameworks and tools (e.g., PHP, Python, WordPress, Wagtail, Django), • Familiarity with relational databases (MySQL) and cloud infrastructure (Heroku, AWS, Cloudflare), • Understanding of performance optimisation, secure coding practices, and scalable system design, • Enthusiasm for working collaboratively within a multidisciplinary team, • A friendly and helpful approach to communicating directly with clients, • Initiative, problem-solving mindset, and a drive to deliver high-quality work, • Openness to learn, share knowledge, and support others We’re a purpose-driven team, who are B-corp accredited, that values creativity, openness, and continual improvement. We believe in creating work we’re proud of and supporting each other to grow along the way. You’ll have the chance to work with some of the most inspiring arts and cultural organisations, contributing to meaningful projects that make a real impact. • We operate a flexible, hybrid working model that supports autonomy and work-life balance., • We have enhanced time off policies too with a focus on parents and carers, vacation days (you’ll get 25 days, plus bank holidays and you’ll never work a birthday again - because we give you that off), • We offer NHS cashback scheme to support healthcare costs and a monthly wellbeing allowance of £50 to spend on whatever makes you feel good (whether that be a gym membership, a meal out, or a treatment of some kind), • Everyone gets 6 days per year to focus on their own professional development, and a £500 budget to go along with that too., • We invest heavily in communication and connection through weekly mailers, an intentional meeting cadence and internal awards. We also organise and cover the cost of bi-annual team gatherings to museums, art galleries and theatres., • Not all benefits come in the form of traditional ‘perks’. At Substrakt, we place a strong emphasis on building the right team structure and workflows, so everyone knows what they’re accountable for and can focus on doing their best work., • All team members have the opportunity to participate in our steering groups which aren’t just ‘nice to haves’ - they help everyone stay curious and influence the way Substrakt approaches things like Equality, Diversity and Inclusion, Internal Culture, Accessibility, AI, and Sustainability If this sounds like you, and you like the sound of us, we’d love to hear from you.

My client is based in the London area, is currently looking to recruit an experienced Data Engineer to join their AI Analytics team. They are one of the leaders within the AI space. They are currently going through a period of growth and are looking for an experienced Data Engineer to join their team. They are backed by a huge multinational equity firm who are looking to bolster my client's financial position. They are expected to see year-on-year growth, which will allow them to implement and utilise the most in-demand and cutting-edge technology on the market right now. Main Responsibilities • Develop scalable systems and reusable components that serve as reference points for new team members., • Create efficient data workflows using distributed computing tools, particularly for large-scale processing and aggregation., • Build responsive, asynchronous APIs and backend processes capable of handling high data volumes with minimal delay., • Utilise AI-powered development tools to enhance productivity and code quality., • Collaborate within Agile teams to refine and monitor data collection systems using Scala and Java., • Apply sound engineering principles such as test-driven development and modular design. Preferred Background • Hands-on experience with Spark and Scala in commercial environments., • Familiarity with Java and Python., • Exposure to distributed data systems and cloud storage platforms., • Experience designing data schemas and analytical databases., • Use of AI tools to streamline development and debugging., • Strong grasp of algorithmic thinking and performance optimisation., • Proficiency with SQL and NoSQL databases such as PostgreSQL and Cassandra., • Experience with systems like Kafka or RabbitMQ., • Ability to build and manage ETL pipelines using tools like Airflow. This role is an urgent requirement. There are limited interview slots left. If interested, send an up-to-date CV to Shoaib Khan - or call for a catch-up in complete confidence. Tenth Revolution Data Teams offer more opportunities across the UK than any other recruiter. We're the proud sponsor and supporter of SQLBits, AWS RE: Invent, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group.

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at and follow us on and _. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are considering candidates in Germany, Ireland, Sweden, Spain and the UK only. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business via general data analytics. Our goal is to make Grafana the single best place where humans and AI agents understand and act on data from across the enterprise. We build systems that help users make sense of their sea of data through AI-driven features in use cases like product analytics and sales data. These capabilities lower the barrier of domain expertise and surface meaningful signals from messy data. The 2H team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for an AI Software Engineer with a strong software engineering background, a quick iteration mindset, and a passion for experimentation – balanced by a focus on shipping and scaling impactful features that deliver value to users. As part of our skunkworks initiative, you'll wear multiple hats and won't rely on cross-functional teams that typically support other teams inside Grafana Labs engineering. You will design, develop, test, and ship AI-powered features that can manage dealing with large datasets, while also expanding the capabilities of analytics-focused AI agents to assist users with information retrieval. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You’ll Be Doing: • Build and deliver AI solutions: Take ownership of developing delightful, high-performance AI features to help users discover, organize, and optimize access to large datasets., • Rapid experimentation and iteration: Implement a highly iterative process where you quickly prototype, test, and validate with real users, including shipping and evolving LLM- or agent-powered workflows for the data engineering lifecycle., • Collaborate: Work with the rest of the team to shape AI-driven product features, including the integration of agentic components with internal tools like Slack and alerting systems while engaging with internal data teams for dogfooding., • Utilize AI tools effectively: Use AI and automation tools to enhance both product functionality and your own development workflows., • Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams., • Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: • Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision., • AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory., • Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset., • Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined., • Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Requirements: • Experience with LLMs, context engineering, and building applications powered by GenAI., • Proven track record of delivering software that made it into production and is actively used by users., • Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure)., • Experience using observability tools to understand and troubleshoot system behavior. Bonus Points For: • Experience building or working with agent frameworks or multi‑agent workflows., • Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks), • Experience building tools for data engineering. Compensation & Rewards: In the UK, the Base compensation range for this role is £100,000 - £124,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed _. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Join the team redefining how the world experiences design. Servus, hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work Our flagship campus is in Sydney, Australia but Austria is home to part of our European operations. And you have choice in where and how you work, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals. Fun fact, a big part of our Austrian operations is developing the AI product within Canva to help reimagine how artificial intelligence can be used in design. Pretty cool ha! At Canva, our mission is to empower the world to design. We’re building AI that feels magical and lands real impact for millions of people - helping anyone create with confidence. We're looking for a Machine Learning Engineer to own the data foundations that power our multimodal agent research—building the pipelines, datasets, and tooling that turn ambitious research ideas into trainable reality. About the team We explore multimodal agentic architectures, build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. We are a cutting-edge post-training team, developing new multimodal agentic systems. We work on all topics of multimodal modelling, post-training and design agents, we build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. About the role You'll be responsible for the data lifecycle that fuels our agent research: from collection and curation through to preprocessing, quality assurance, and delivery into training pipelines. You'll work closely with research scientists to understand what data is needed, then design and build the systems to make it happen—reliably and at scale. You'll have significant autonomy over how data problems get solved, while aligning on what problems matter most with the broader team. What you'll do Design and build data pipelines for agent training: collection, filtering, deduplication, formatting, and versioning across text, image, and multimodal sources. Build and maintain infrastructure for efficient data loading, storage, and retrieval at scale (S3, distributed systems, streaming pipelines). Collaborate with research scientists to translate research requirements into concrete data specifications, and iterate as experiments reveal new needs. Create evaluation datasets and benchmarks in collaboration with researchers—curating task distributions that surface real failure modes. Develop tooling for dataset construction—including human annotation workflows, synthetic data generation, and preference data collection for RLHF/DPO-style training. Own data quality: build validation frameworks, monitor for drift and contamination, and establish standards that make datasets trustworthy and reproducible. Document datasets thoroughly: provenance, known limitations, intended use cases, and versioning history. Implement comprehensive test coverage for data pipelines and ML workflows, ensuring reliability and catching regressions early. Elevate codebase quality through code reviews, refactoring, and establishing engineering best practices that help research velocity scale sustainably. Contribute to team roadmaps by identifying data bottlenecks and proposing solutions that unblock research velocity. You're likely a match if you have Strong software engineering skills in Python, with experience building production-grade data pipelines and ML DevOps. Practical experience with prompt engineering—designing, testing, and refining prompts for reliable LLM/VLM outputs. Experience with ML data workflows: large-scale data processing and loading (Ray, or similar), data versioning, and format considerations for training (tokenization, batching, sharding). Hands-on experience working with data pipelines for large-scale distributed ML training runs. Familiarity with annotation tooling and human-in-the-loop data collection (Label Studio or internal systems). Understanding of ML training requirements—you know what "good data" looks like for LLM/VLM fine-tuning and can anticipate downstream issues. Experience loading and writing large datasets to/from cloud infrastructure (AWS) and distributed storage systems. Strong communication skills: you can work with researchers to scope ambiguous problems and translate needs into actionable plans. A collaborative approach, comfortable taking ownership and iterating quickly. Nice to have Experience with preference data collection for RLHF or reward modelling. Familiarity with multimodal data (image-text pairs, video, design assets). Experience building synthetic data generation pipelines using LLMs. Background in data quality metrics and monitoring systems. Contributions to dataset releases or benchmarks in the ML community. What's in it for you? Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work. Here's a taste of what's on offer: • Equity packages - we want our success to be yours too, • Inclusive parental leave policy that supports all parents & carers, • An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more, • Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally Check out _ for more info. Other stuff to know We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate all types of skills and backgrounds at Canva so even if you don’t feel like your skills quite match what’s listed above - we still want to hear from you! Please note that interviews are conducted virtually.

At Air Apps, we believe in thinking bigger and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018 and now with offices in both Lisbon and San Francisco, we’ve remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management and change lives along the way. As a DevOps Engineer – Mobile, you will play a crucial role in streamlining the delivery, integration, and performance of our iOS and Android mobile apps. You'll help shape and maintain the infrastructure, CI/CD pipelines, and automation processes that enable our mobile engineering teams to ship faster and more reliably. Your work will directly impact millions of users worldwide by ensuring high availability, rapid deployment, and top-tier performance. This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts. Design, implement, and maintain robust CI/CD pipelines tailored for mobile app development (iOS and Android). Automate build, test, and deployment workflows across multiple environments. Manage cloud infrastructure to support mobile backend services and tooling. Collaborate with mobile developers to ensure efficient release cycles and fast feedback loops. Optimize the performance, reliability, and scalability of mobile-specific infrastructure and build systems. Integrate monitoring, logging, and alerting for mobile services and CI/CD systems. Enforce mobile app security best practices, including certificate management, secrets handling, and signing processes. Support infrastructure as code (IaC) practices using tools like Terraform. Continuously evaluate and implement emerging DevOps tools and practices to improve mobile development workflows. Around 3+ years of experience in DevOps, with a strong emphasis on mobile app pipelines and automation. Proficiency with mobile CI/CD tools (e.g., GitHub Actions, Bitrise, fastlane, CircleCI, or GitLab CI). Experience in building and distributing iOS and Android applications in scalable environments. Familiarity with Apple Developer tools (Xcode, provisioning profiles, code signing) and Google Play Store pipelines. Hands-on experience with cloud platforms such as GCP, Azure, or AWS. Experience with Docker, Kubernetes, or similar containerization and orchestration systems. Strong scripting skills in Bash, Python, or similar languages. Understanding of mobile-specific security practices (e.g., certificate management, secure storage). Familiarity with monitoring and logging tools like Prometheus, Grafana, or Datadog. Experience working in Agile or cross-functional teams with a product-driven mindset. Apple hardware ecosystem for work. Annual Bonus Top-tier Health and Life Insurance for peace of mind. Transportation Budget to support your commute needs. Coverflex benefits package for meal allowances, well-being, and more. Childcare support. Air Conference - an opportunity to meet the team, collaborate, and grow together. Pension Fund to support your long-term financial planning. Urban Sports Club membership to keep you active. Meals 100% free at the hub. At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger. At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

Are you a Frontend Software Developer wanting to use your skills to help people in a humanitarian crisis and ultimately help save lives? MapAction can enable you to volunteer to do just that. Volunteers have been the heart of the MapAction for over 20 years but the range of skills needed continually evolves. Now we are looking for enthusiastic fFrontend Software Developer professionals who have a desire to commit to a great team and to help MapAction make a difference that has a lasting effect on vulnerable communities. MapAction works with a range of humanitarian partners, from local organisations who are closest to the ground to a range of global UN partners. Come and be part of something that is exciting and impactful! MapAction is a leading humanitarian mapping charity, delivering information services and products to enhance decision making in disasters and conflicts. In collaboration with our partners, this mapped information helps responders understand vulnerabilities and target their response effectively, contributing to saving lives and minimising suffering. We work through a team of skilled volunteer professionals and a small paid staff team. We have built a strong reputation in the humanitarian sector, and are a technical partner of the United Nations, Non-Government Organisations and Civil Society Organisations, the Red Cross, Red Crescent Movement, regional entities and national authorities. The humanitarian sector is evolving, and technical expertise such as GIS, mapping, information management, data processing and visualisation are becoming increasingly utilised for improving decision making in complex humanitarian response. MapAction and our partners are uniquely positioned to provide technical expertise in support of this. Responsibilities As a volunteer, we will be able to work with technical staff and volunteers on different opportunities. Once your onboarding is complete, you will be able to choose the tasks and projects that best fit your skillset and interests. Here below some activities that our data engineer volunteers can support with: • MapAction external projects that require a FrontEnd Software skillset (e.g.: hazard exposure platforms, conflict incident visualisation, custom data visualisation tools, etc…), • Work with external partners such as UN agencies, International NGOs and Academic Institutions, • Working with Data Science and Data Engineering volunteers to enhance software used in data processing, • Support internal systems maintenance in collaboration with MapAction’s IT Support Engineer, • Attend and / or represent MapAction on technical conferences, • Train other volunteers or external organizations on Data Engineer tools and processes What are we looking for? If you feel you are a good match but do not feel like you meet all the requirements, we are still happy to receive your application! The core skills we look for in all of our team members are the following: • A desire to use their skills, experience and dedication in the cause of humanitarian ends, • Good team player with leadership and/or project management experience or ambition wherever possible, • Exceptional communication skills, to explain your work to people who don't understand the mechanics behind data analysis, and experience in understanding partner needs and requirements, in particular working with non-technical clients, • Adaptable, resilient and solution-oriented, • Self-motivated and organised, • Time to commit to MapAction, for more details on the time commitment, please refer to the “What does it mean to be part of the MapAction team?” Essential: • Three or more years of professional experience working in a software development team, as a developer, tester or other similar role, • For web development: experience in HTML, CSS, JavaScript, React and ideally at least one server side language (PHP, Python etc)., • Experience and proficiency working with Python, • Experience of or demonstrated willingness to learn testing regimes including unit and regression testing and continuous integration., • Project management experience. Experience in understanding partner needs and requirements, in particular working with non-technical clients., • Collaborative code management using Git & GitHub Desirable: • Experience of participating in a volunteer organisation or open source projects., • Experience of developing with ESRI’s GIS product suite and/or other geospatial technology., • Experience with Systems Engineering, • An interest in data-engineering or data-science e.g. ML / DL / AI / Statistics, • Humanitarian knowledge/experience. Being part of MapAction means entering a close-knit community of highly skilled and committed and experienced professionals in different sectors. It means using your unique skills to help prepare for, anticipate, or respond to humanitarian emergencies, enabling our partners to provide life-saving support. At MapAction, training and team building are at the heart of our organisational culture. We have frequent meet-ups online and in person where paid staff and volunteers get together for training opportunities and skill-sharing, to strengthen our service offer. As a volunteer, you can participate in all levels and areas of the organisation, working alongside our colleagues at various UN agencies and/or other humanitarian partners. Volunteers also steer the organisation's strategic direction and are involved with designing and implementing our operational capacity. You will have the opportunity to travel, whether that’s at training events, project work abroad, missions or representing MapAction at a conference. Availability for projects, including in-person deployments • MapAction expects a high level of commitment by volunteers to make themselves available to deliver projects, whether these projects are planned or emergency missions, remote or in-person, one-off tasks or longer term commitments., • Deployable volunteers are expected to seek a commitment from their employer (if applicable) to permit time off (paid or not) for deployments when necessary., • For emergency deployable volunteers, there must be arrangements in place for a quick decision to be taken on availability, including agreement from employers/family if required, in the event of all alerts. This should normally be within 12 hours of the issue of the alert, depending on time-zone., • For non-emergency deployments and projects logged on the tasking grid, volunteers must respond to a request for assistance (whether yes or no) by the deadline specified on the grid., • Volunteers are expected to put themselves forward for at least three substantive (i.e. at least two days work) tasks every year, and are normally expected to contribute at least 10 days of voluntary effort (excluding training) to MapAction every year., • It is the duty of all volunteers to do their best to make themselves available for any opportunity relevant to their volunteer role, and avoid perceptions of volunteers selecting only more ‘attractive’ tasks or missions. It is essential that MapAction is able to deliver on all tasks it commits to, and it relies on volunteers to be prepared to step up for a wide range of activities. As a member of the team, you will be expected to participate in at least 6 internal weekend training events. This must include our annual simulation exercise, which all volunteers are required to attend. Other weekend training events include 6 annual training weekends where we get together in person at various locations around the UK, and 4 online development days. Volunteers should live either within the UK or within reasonably easy and affordable reach of the UK in order to be able to attend face to face training events. Equal Opportunities Statement We are committed to creating an inclusive environment and welcome applications from people of all backgrounds, communities, and experiences. We value diversity and are dedicated to providing equal opportunities regardless of age, disability, gender identity, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. Selection for volunteer roles is based solely on an individual's skills, experience, suitability for the role, and commitment to our values. Notable Dates for volunteer process: Closing date - 19th July 2026 If successful after evaluation - test - week of the 27th July 2026 Attendance for Interviews online - week of the 12th August 2026 Attendance for final round in person - 12th September 2026 Unfortunately we are unable to accommodate anyone who can not meet these dates.

Who we are: We are a leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Today, over 300 banks, retailers, and fintechs worldwide use Sardine to stop identity fraud, payment fraud, account takeovers, and social engineering scams. We have raised $145M from world-class investors, including Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures. Our culture: We have hubs in the Bay Area, NYC, Austin, and Toronto. However, we maintain a remote-first work culture. #WorkFromAnywhere We hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. Location: Remote; based in UK or EU About the role We’re looking for an Integration Engineer to lead client onboarding for Sardine’s fraud and compliance products. You’ll manage end-to-end integrations, translate technical requirements into solutions, and ensure a smooth, successful deployment. This is a hands-on role working closely with clients and internal teams, perfect for someone who thrives in fast-paced environments and enjoys solving complex problems with practical, scalable solutions. What you’ll be doing Lead implementation and integration efforts for fraud and compliance products Work closely with clients and provide end-to-end support during their onboarding process, setting our clients up for success Own public-facing SDKs, APIs, integration guides, and support documents Analyze clients' requirements from the technical and functional perspectives and design solutions by having a deep understanding of our system and products' capabilities Manage implementation projects, including monitoring project quality, managing timelines, mitigating risk, and driving deliverables Build a deep understanding of customers' business problems, technical requirements, and success criteria so that you can provide solutions utilizing Sardine's technology Provide product feedback to internal stakeholders as the eyes and ears on the ground What you’ll need 3+ years of hands-on experience as an implementation manager, integrations engineer, technical account manager, solution architect, and systems analyst, working with multiple technical teams, both internal and external 1+ years of B2B SaaS experience, preferably working in the relevant domain (payment, fraud, risk, or compliance) Excellent written and verbal communication skills, including the ability to communicate complex technical and business concepts to technical and non-technical personas Excellent organizational skills and the ability to manage multiple projects simultaneously and drive deliverables to completion Experience with basic SQL querying and JSON payload analysis Experience with APIs specs like OpenAPI, web development, and writing scripts to build internal tools (e.g., bash scripting, Python, SQL, Ruby, Golang, Postman) Compensation: Base pay range of 35,000 - 45,000 GBP in UK; 40,000 - 50,000 Euro in EU + Series C equity with tremendous upside potential + Attractive benefits The compensation offered for this role will depend on various factors, including the candidate's location, qualifications, work history, and interview performance, and may differ from the stated range. Benefits we offer: Generous compensation in cash and equity Early exercise for all options, including pre-vested Work from anywhere: Remote-first Culture Flexible paid time off, Year-end break, Self care days off Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific 4% matching in 401k / RRSP - US and Canada specific MacBook Pro delivered to your door One-time stipend to set up a home office — desk, chair, screen, etc. Monthly meal stipend Monthly social meet-up stipend Annual health and wellness stipend Annual Learning stipend Unlimited access to an expert financial advisory Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you. To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our _.

Location As a Financial Systems Engineer, you will be part of Business Systems Engineering, a group of several teams that builds and runs the systems the company operates on. This role is based remotely in the United States (Eastern time zone), the UK, or Ireland. Who We Are DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers are operating in a well-architected and scalable state - from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multi-cloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, Microsoft Azure and Ingram Micro, we work alongside more than 4,000 customers worldwide. The Opportunity We are modernizing how we run our financial systems and bringing this work in-house, and we're looking for a Financial Systems Engineer to own it. You will own our financial systems - NetSuite today, with FloQast and Ramp coming online - as an engineer, not just an administrator. What sets this role apart is mindset. You are the kind of person who is averse to doing the same manual task twice and instinctively looks for ways to automate it away. You will own the configuration and business logic of the financial systems, keeping each one doing what it does best, and partner with our internal engineering team on cross-system integration rather than wiring it together by hand. This is a high-ownership role serving Finance and Accounting directly. You will be their dedicated systems partner - someone who knows the platforms deeply, is invested in making them better, and treats reducing manual, error-prone work as the core of the job rather than something to do on the side. Reporting to the Manager of Enterprise Systems, you will have real room to shape how finance operations run as the company scales Responsibilities • Own and administer our core financial systems - NetSuite today, with FloQast and Ramp coming online - including configuration, business logic, and day-to-day system health., • Identify manual, recurring, or error-prone finance operations (month-end close, reconciliations, reporting, procure-to-pay) and reduce or remove them through automation, choosing the simplest effective approach and partnering with engineering for heavier builds., • Serve as the business-logic and data expert for the finance domain, partnering with engineering to define and maintain the rules and canonical definitions the systems rely on., • Build cross-system integrations on a central, version-controlled, observable integration platform in partnership with engineering, rather than as one-off scripts buried inside individual tools., • Act as the dedicated systems partner to Finance and Accounting: translate their needs into system capability, own those working relationships, and serve as the technical owner for financial-vendor onboarding, configuration, and administration., • Use modern AI tooling to draft automations and accelerate routine system work, amplifying your output rather than adding manual effort. Qualifications • 3-6 years administering a financial or ERP system, with hands-on NetSuite administration required, including:, • configuration, customization, user access, roles, permissions, and workflows;, • core modules such as General Ledger, Advanced Revenue Management, Accounts, and subsidiary / multi-location structures;, • designing and implementing custom records, fields, and automations;, • building SuiteFlow automations in response to changing business needs;, • managing the NetSuite integration ecosystem., • A working understanding of core finance and accounting processes: month-end close, reconciliation, accounts payable / procure-to-pay, and revenue., • A strong drive to eliminate repetitive manual work, with a demonstrated track record of automating it (e.g. scripting, saved searches, workflow automation, or low-code/iPaaS tools)., • Sound judgment about where logic belongs - what should be system configuration, what should be a cross-system integration, and which system is the source of truth for a given piece of data., • Comfort with at least one of SuiteScript, SQL, general scripting, or API-based automation, and the ability to read and reason about integrations even when engineering builds them., • Strong collaboration and communication across both finance and engineering teams, with the ability to translate between them., • Fluent English; knowledge of any other language is an advantage. Bonus Points: • FloQast and/or Ramp administration experience., • Experience working against a central integration platform or in an event-driven environment., • Comfort using AI coding and automation tools in day-to-day work., • Depth in SuiteScript (1.0 / 2.0), RESTlets, or NetSuite web services. Are you a Do’er? Be your truest self. Work on your terms. Make a difference. We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally. What does being a Do’er mean? We’re all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our _. Sounds too good to be true? Check out our_. We thought so too, but we’re here and happy we hit that ‘apply’ button. Full-time employee benefits include: • Unlimited Vacation, • Flexible Working Options, • Health Insurance, • Parental Leave, • Employee Stock Option Plan, • Home Office Allowance, • Professional Development Stipend, • Peer Recognition Program Many Do’ers, One Team DoiT unites as Many Do’ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success. #LI-Remote

Octopus Deploy sets the standard for Continuous Delivery, empowering software teams to deliver value in an agile way. Over 4,000 organizations globally – including Ubisoft, ASOS, Xero, Stack Overflow, NASA, and Disney – rely on our Continuous Delivery, GitOps, and release orchestration solutions. Founded in Australia in 2012, our team of over 300 Octonauts now spans the globe. We combine high growth and big ambitions with a sustainable, balanced working environment. Our revenue has grown consistently between 30–50% every year for the past 8 years, and we’ve been profitable for 10 out of the past 11 years. Octopus now provides the industry's most comprehensive Continuous Delivery solution for organizations operating at scale. We’ve been remote-first since 2015 and work with an uncommon level of transparency. You can read our _ to learn how we work. We have a transparent approach to compensation that ensures people doing the same work with the same skill get paid the same, with well-defined career pathways. We foster a supportive, collaborative, and high-trust environment. We leave our job titles at the door and focus on doing what’s best for our customers and team. Our leaders never shy away from answering the tough questions at our all-hands calls or in 1:1s. We conduct interviews and onboarding virtually as part of being a remote-first company. An Octopus Deploy Solutions Engineer is responsible for working with their accounts and customers as their trusted advisor on their technical journey with continuous delivery (CD) at scale—from answering their technical questions and discovering their technical challenges, to demonstrating and proving the value of Octopus Deploy.You will partner with account executives to help your accounts and customers solve their CD challenges. You will also interact with functional departments like Marketing and Engineering to help ensure Octopus Deploy continues to lead solving CD at scale. To help our teams work together effectively, this remote position requires you to be located in the United Kingdom. • Working where you work best, perhaps in a home office and atmosphere designed by you, videoconferencing with colleagues and customers., • Building or updating technical assets like Octopus Deploy projects that deploy applications to Tomcat on EC2 instances or containerized applications to a Kubernetes cluster using Helm., • Working with your account team to discover the technical challenges and business goals of an account, and preparing a demo to showcase the value of Octopus Deploy and how it address their challenges and goals., • Delivering a demo for and discussing the technical questions of a prospective customer., • Providing guidance to a prospective customer conducting a Proof of Value with Octopus Deploy., • Educating customers on the value of Octopus Deploy by developer blogs and guides, delivering talks and webinars, and attending events to evangelize Octopus Deploy., • You are fluent in both English and French (reading, writing, and speaking) at a business level., • You are a personable, polite, and positive person., • You have a mix of technical skills and expertise—e.g.: development, release management, operations, infrastructure automation, cloud-native technologies, • You have experience with Continuous Integration and Continuous Delivery (CI/CD), and have configured and used CI/CD tools., • You are comfortable communicating with customers, carrying technical conversations, and delivering compelling value-based demos., • You like to lean in and learn the latest technologies.Octopus has an internally _. Any Octonaut can view the compensation for any role at any level. This ensures people doing the same work with the same skill get paid the same. The leveling for this role is:Level 3Maturing: £105,000 + variable (OTE £146,500) + stock optionsPerforming: £115,000 + variable (OTE £159,820) + stock options Benefits include a minimum of 25 days annual leave, up to 10 days of paid sick and carers leave, 12 weeks of fully paid parental leave with flexible return options, pension offerings of up to 5%, and stock options. _. Interview ProcessBelow is the interview process you can expect for this role. We know interviewing can seem daunting, but rest assured we designed our interview process to move quickly while still getting you all the information you need. 👋🏼Initial chat [30 min]Talent acquisition screen: Meet with your Talent Acquisition team and get a feel for what it would be like to be an Octonaut! 🧑‍💻 Hiring Manager chat [45–60 min]Hiring manager chat: Meet the hiring manager. This is a great opportunity to get to know each other. You should expect the hiring manager to ask questions about your professional background and goals. We welcome any questions you may have for us! 👥Team Member Technical chat [45–60 min]Team member technical chat: Meet your SE peers and revenue partners. We’ll discuss your technical talents and your experience working with customers. By the end of this call, you should have a great idea of what it’s like to work at Octopus, and we should also have a great idea of what it would be like to have you on the team! 💻 Technical Panel presentation [60-90 min] Final round chat: In this final round call, you meet cross-functional team members. You can expect a mix of leaders and individual contributors to join the chat. Show off your demo and presentation skills. Prepare and present a technical demo and discussion that highlights the value of how a technical solution solves a problem. We will give you some guidance on scenarios and expectations. By the end of this call, you should have a great idea of what it’s like to work at Octopus. We should also have a great idea of what it would be like to have you on the team! We’ll ask any final questions and encourage you to do the same. Our is the best place to learn more about life at Octopus. It includes our , how we , , _, and much more. If you're enthusiastic about this position, even if you don’t meet all the criteria above, we wholeheartedly encourage you to submit your application. Our talent team is in-house, and we recognize that every individual brings something unique. We take the time to review every application and consider how you might add to the team. We know your time is precious. If you apply, we promise to update you at least once per week about the status of your application and to give you clear expectations for each step in the journey. Important Notice About Recruitment ScamsPlease be aware that individuals and organizations may attempt to scam job seekers by offering fraudulent employment opportunities under the name of Octopus Deploy or Codefresh by Octopus Deploy. These scams may involve fake job postings, unsolicited emails, text messages, or other communications claiming to be from our recruiters or hiring managers. Octopus Deploy will never:• Ask for sensitive personal information, such as credit card details, bank account numbers, or other financial information during the recruitment process.• Request payment, fees, or purchases from job seekers.• Send checks for equipment purchases prior to employment. Official Communication Channels:All communication from Octopus Deploy recruiters or hiring managers will come from official email addresses ending in @octopus.com. If you receive messages from other domains (e.g., or generic addresses like @yahoo.com), these are not from Octopus Deploy.If you are unsure about the authenticity of a communication claiming to be from Octopus Deploy, do not provide any personal or financial information and contact us immediately at . Reporting FraudIf you believe you have been a victim of a recruitment scam, please report it to the appropriate authorities:United States: Europe: New Zealand: Australia: Signs of a Recruitment ScamBe vigilant about the following red flags:• The sender uses email domains that do not end in @octopus.com (e.g., _ or generic addresses like @yahoo.com or @hotmail.com).• Poor spelling and grammar in emails or official-looking documents.• Requests for payment, financial details, or fees to proceed in the hiring process.• Receiving a check and being asked to deposit it for equipment purchases before employment.• Contacting you through informal channels such as WhatsApp, particularly in the United States.• Pressure to act quickly or threats of losing the opportunity if immediate action is not taken. We take fraudulent activities seriously and are committed to ensuring the integrity of our hiring process. Thank you for helping us protect our community and future Octonauts! [Note to Search Firms/Agencies]Octopus Deploy does not compensate search firms for unsolicited assistance unless they have a written search agreement with Octopus Deploy and the requisition is position-specific. Any resumes, curriculum vitae and other unsolicited assistance from search firms that do not have a written search agreement or position-specific requisition submitted to any Associate of Octopus Deploy will be deemed the sole property of Octopus Deploy and no fee will be paid in the event the candidate is hired by Octopus Deploy. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About MoneyboxMoneybox is the award-winning app that helps you turn your money into something greater. We’ve brought saving, investing, home-buying, and retirement services all together into one simple app, so it’s easier than ever to achieve your goals and build wealth, whatever your starting point. Job BriefWe are looking for a Lead QA engineer to join our team, who enjoys working in a fast-paced environment. You will be working with a high calibre team to continuously develop new products/features. • This is a hands-on role and as a senior member of the QA team, you’ll help ensure the quality of Moneybox products, reporting into the Senior QA lead., • Seamlessly deliver numerous large and complex projects, acting as the sole QA on a squad, managing competing workstreams through strong prioritisation and time management., • Drive a "quality is everyone's responsibility" philosophy, influencing team members to prioritise collective success., • Collaborate with stakeholders to define testing and release strategies that effectively balance risk, speed, and quality., • Run engaging, cross-functional team meetings (e.g. amigos, retrospectives, go/no-go) that promote positive outcomes and actions., • Apply a risk-based approach to QA activities, focusing on high-value areas rather than testing for the sake of testing, leveraging AI tooling to support activities., • Identify and communicate issues, dependencies, and solutions to the squad and senior management, ensuring strong coordination and prioritisation., • Assess features for test automation suitability, collaborating with engineers on various test types and contributing to end-to-end automation., • Own QA metrics, perform root cause analysis, and champion continuous improvement in ways of working, processes, and tooling., • Proactively support team members through mentoring, coaching, and management to foster their career growth., • Be a visible leader and role model within the QA team, actively supporting departmental operations and promoting learning and sharing across the QA function., • Represent Moneybox externally in the tech community, bringing fresh new ideas back to the team., • You're enthusiastic about working in a fast-growing Fintech and dedicated to making a positive impact on personal wealth, with a strong interest in technology and QA developments., • You possess an excellent understanding of testing techniques and can effectively coach and mentor your team on their application., • You're comfortable in multi-disciplinary teams, working closely with developers, and demonstrate strong analytical, critical thinking, and problem-solving skills., • You have proven experience in designing and implementing comprehensive test plans and automation frameworks., • You exhibit strong organisational skills, meticulous attention to detail, and a pragmatic approach to bug reporting, understanding risk, impact, and dependencies., • At least 7 years of broad QA experience, with a number of years in a lead QA role, including a proven track record of mentoring and coaching., • Extensive backend system testing skills and understanding of programming languages, and API architectures., • Deep understanding of Mobile app, web, API, and database testing technologies and frameworks., • Experience with various automated testing techniques and a solid background in test data design and implementation strategies., • Proven ability to work effectively with senior leadership to build strong relationships and drive continuous improvement., • Opportunity to join a fast-growing, award-winning and super ambitious business., • Work with a friendly team of highly motivated individuals., • Be in an environment where you are listened to and can actually have an impact., • Thriving collaborative and inclusive company culture., • Competitive remuneration package., • Company shares, • Company pension scheme, • Hybrid working environment, • Home office furniture allowance, • Personal Annual Learning and Development budget, • Private Medical Insurance, • Health Cash Plan (cashback on visits to the dentist & opticians etc), • Cycle to work scheme, • Gympass subscription to a variety of gyms and wellbeing apps, • Enhanced parental pay & leave, • 25 days holiday + bank holidays with additional days added with length of service.Our Commitment to DE&I At Moneybox, we promote, support and celebrate inclusion, diversity and equity for all, so that everyone can bring their full selves to work. We believe that diversity drives innovation, and that if our team is representative of our community of customers, we can better support their needs. To ensure our recruitment processes provide an equal opportunity for all applicants to succeed, we encourage you to let us know if there are any adjustments that we can make. We are open-minded and always willing to go the extra mile to ensure all applicants can present their full self and potential. Visa Sponsorship:At this time we cannot offer visa sponsorship for this role and we cannot consider overseas applications. Working Policy:We have a hybrid policy that includes 2 days from our London office and 3 from home. If the role states it is either hybrid or remote candidates must be based within the UK.

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at and follow us on and _. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This role is available for candidates located in the UK, Germany, Spain, Ireland and Sweden. We are looking for a Staff Backend Engineer to join our Grafana Backend Services squad. The Opportunity: The Grafana backend Services squad’s mission is to deliver the best Grafana service to both On-Prem and Cloud customers in a unified, end-to-end manner, from ownership of the API codebase all the way to operation of its components. Today, this means taking charge of multiple components such as the Grafana Backend API itself and the CLI tool, but also all the orchestration infrastructure required to deliver Grafana at the scale of our Cloud product. What You'll Be Doing: • Work with your team to deliver new functionality, then use the results to iterate and improve, • Contributing to and reviewing design documents for upcoming features, • Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope, • Take an active role in influencing our roadmap and your career objectives, • Be a part of your team’s on-call rotations and take ownership of the services you’re running, • Mentor and support other team members, participate in design discussions, and collaborate with the team, • Regularly sharing ideas and knowledge across a vast array of technical ideologies and mindsets, • Working closely with the other squads in the Grafana Division We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro). What Makes You a Great Fit: • Have solid backend development experience, ideally with Go, • Good understanding of storage solutions with an emphasis on relational databases like MySQL, SQLite, and Postgres, • Care deeply about developer and user experience and the quality of the products that you work on, • Have experience with delivering projects from gathering requirements, and brainstorming ideas to shipping a product to the customer’s hands in a self-driven way, • Have experience writing clean, robust, and performant software that is easily maintained by others, • Have experience with mentoring junior engineers in a collaborative but asynchronous environment, • Enjoy working on complex solutions – Grafana is a highly technical solution and has avid followers who rely on it every day and care deeply about their workflows., • Can take on complex challenges and break them down to achieve tight learning loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback, and then progress iteratively Bonus Points For: • Experience with open-source software and/or commercial open-source companies, • Experience working with Docker and Kubernetes, • Experience with CI/CD, DevOps, or Developer Efficiency work streams, • Been a user of Grafana and Prometheus in operational roles, • Familiarity with being on-call and performing operations/SRE tasks, • Exposure to microservices architecture and distributed systems, or a desire to learn Compensation & Rewards: In the UK, the Base compensation range for this role is £91,000 - £114,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed _. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

The role We encourage collaborative engineering practices rooted in Extreme Programming (XP) such as pair programming, making overlap with our UK-based engineers highly preferable (GMT+0 to GMT+2). We are a market-leading nature tech company on a mission to make nature measurable and actionable at scale. Our platform delivers vital insights on species, habitats, and nature-related risks, helping businesses across sectors - from mining and renewable to CGS and financial services - make smarter, more sustainable decisions. As global leaders in biodiversity monitoring and eDNA analysis, we are transforming how nature is measured. Our technology makes biodiversity insights accessible, actionable, and scalable, powering change from conservation to industry. Recognised as Earthshot Prize Finalists 2024, BloombergNEF Pioneers 2024, World Economic Forum Technology Pioneers 2024, and part of the TechNation Future Fifty 2025, we are shaping the future of how organisations understand and protect nature. We are looking for an experienced full-stack Product Engineer to join our collaboration-first product engineering team. You'll join a team of seasoned engineers delivering end-to-end features across the entire stack that powers our transformational biodiversity platform. You won't just be writing code; you will be solving user problems, shaping the roadmap, and taking features from an initial concept through to a live product. Design, build and scale geospatial systems. Collaborating with domain experts across Engineering, Product, Data, Bioinformatics and Nature Strategy, you will translate complex requirements into seamless user experiences. You will help define and run experiments, practice rigorous iteration, and incrementally enhance our ability to build and evolve systems that store, compute and visualise geospatial and other nature-related datasets such as eDNA and bioacoustics. Influence technical strategy and make decisions in ambiguity. You will drive foundational work across product and engineering, helping our teammates navigate various data engineering challenges, guiding technology choice and adoption of best practices. This includes designing and delivering scalable, cloud-based systems and leveraging AI to accelerate development. Contribute to the sustainable delivery of quality software. You will produce well-tested, maintainable code across infrastructure, backend and frontend — using Go or Python on the back-end and React and TypeScript on the front-end — balancing quality with impactful velocity, through both pair programming and peer-reviewed development. Champion engineering fundamentals. You will help the team continually raise the bar through code review, open discussion, and by leading by example. When we move fast and keep scope lean, it's the scope that shrinks, rather than the quality. Support our customers. We believe in owning what we build. You will help define what success looks like for the features you ship, setting the right targets, alerts, and thresholds to catch problems before our customers do. You will participate in an on-call rotation to support issues as they arise, and actively work to reduce the repetitive, manual toil that slows the team down and limits our impact. Support our teammates. You will have ample opportunities to mentor other engineers as they build their skills and experience. You'll do so through pair programming, code reviews, daily communication with your team, giving and receiving thoughtful feedback, and helping your teammates grow. You have a strong sense of what good engineering looks like and can articulate and coach that, helping the team build not just their technical skills, but their engineering instincts. About you What you'll bring A love of nature. We are mission-driven, with a deep affinity for the protection of biodiversity and natural systems. To make hard things happen, our team puts mission over ego. You find purpose not only in your own growth but in stopping climate change and biodiversity collapse. Experience with scalable data processing. You have led the design and implementation of concurrent, scalable and reproducible data workflows, are familiar with the challenges of data-intensive systems, and can advocate for best practices across pipelines and distributed compute. The systems you build enable rapid feature development without accumulating the debt that slows teams down. Familiarity with geospatial concepts. You may not be a geospatial expert, but you're comfortable discussing the differences between vector and raster data and applying these to the design of geospatial data pipelines and storage. A strong sense of collaborative teamwork. You believe that the best outcomes come from working closely together, not just splitting tickets and syncing up at standup. Through pairing, shared ownership, and genuine investment in your teammates' growth, we deliver better software, spread knowledge more effectively, and build a team where everyone can do their best work sustainably. You act as a bridge between technical and non-technical stakeholders, bringing clarity to requirements and trade-offs, and helping everyone move in the same direction. Technical fluency across the stack. You are comfortable working across the full stack, from back-end data pipelines and APIs through to intuitive, responsive front-end interfaces. You go where the work is, not where your comfort zone is, and you care about the experience as much as the implementation. Comfortable supporting production software. You have experience shipping to production, investigating and triaging issues in deployed code, and have opinions about making on-call an effective and positive experience. When you ship, you ship with confidence, delivering tangible value and keeping the team moving forward. An adaptive and curious mindset. You are comfortable pivoting in response to new insights and don't wait to be pointed at problems. You proactively identify opportunities for improvement and take ownership of driving them forward, because you care about the product, not just your slice of it. A focus on customer value. You will look beyond the ticket and have the experience to keep things simple, revisit scope, and work in small iterations — never losing sight of the problem you were meant to solve. You are interested in how customers use the platform and are willing to iterate rapidly based on feedback and usage data. Clear and open communication. We consider clear and thoughtful communication a fundamental engineering skill and a strong predictor of future impact. You demonstrate this in your contribution to documentation, collaborative problem-solving, and willingness to give and receive feedback. Don't hesitate to apply despite only ticking some of these boxes. Our strength is in our diversity, and we look for individuals who bring something new to the team, whether it’s background, skill, or perspective. Though we are on the lookout for a Senior engineer, a pathway to Staff level exists for engineers who are willing and able to take on the responsibilities and expectations that come with it. We recommend discussing this pathway with the Head of Data and Engineering and Lead Software Engineer during the interview. What's in it for you Get up every morning knowing that you’re working to stop climate change and biodiversity collapse Competitive Salary Flexible work arrangements Opportunities for professional growth in a high-scaling tech environment. Benefits package (for those UK-based, international benefits will vary) including salary sacrifice pension scheme prioritising sustainability; life assurance; Enhanced annual leave; Cycle to Work Scheme; enhanced family friendly policy; £250 L&D budget to use on our Learning platform, Learnerbly. Why us? At NatureMetrics diversity and inclusion are part of our DNA. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us to the communities we work with. Our values leave no space for stereotypes. We are all unique and pull together for a common purpose. About us Backed by ambitious investors, we're on a mission to make biodiversity measurable at scale to underpin global goals and accelerate finance into nature. NatureMetrics combines tech and AI to derive simple insights from the full complexity of nature on the ground. We're a dynamic team passionate about nature and biodiversity and we take immense pride in our work and our impact. Join us on this journey!

We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as and bank accounts, we offer , , a and in the UK, with more exciting things to come beyond. Our UK customers can also , and _ with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ London or UK Remote | £105,000 - £135,000 + Incentive Awards tied to your performance + | _ - Engineering About our Engineering Teams: We have around 400 engineers across Monzo who design and build our in-house banking platform. We have big ambitions for the future, and technology plays a big role in creating a bank our customers want, so engineers at Monzo collaborate across disciplines to solve interesting challenges throughout the company. These range from the products our customers use everyday to underlying infrastructure, security, payments and finance, customer operations, financial crime, and data, to name just a few areas. As a bank, there is scope for impact across a huge number of opportunities. We contribute to as much as possible. Our is a good place to learn even more about what we do! Your day-to-day This role is all about collaborating with your team to make a difference to your customers. As a backend engineer you’ll work in a squad alongside other disciplines like product managers, marketers, user researchers, designers, mobile engineers, web engineers, data analysts, business analysts, writers and more! Together you'll build and support a particular part of Monzo. Our squads belong to our wider collectives (a word we use to describe self-governing business units of ~100 people). They are: Core Banking, Business Banking, Wealth, Borrowing, Growth, Payments, Platform, Fincrime, Security & Expansion. All of our collectives are doing innovative work, many of which have machine learning and AI at the forefront- from fighting financial crime to building smarter financial tools - and you may have the opportunity to join a collective that gives you direct exposure to this exciting space. They’re all looking for additional Backend Engineers right now, we do a standard interview process across all our collectives and at the end we will find the best match for you based on your skills, experience, preferences and aligning with the business need! Our backend engineers have a variety of different backgrounds. As long as you enjoy learning new things, we’d love to talk to you. We do not ask for formal qualifications or degree requirements for any of our engineering roles. How we work Our main tech hub is in London, but our engineers live everywhere in the UK— from Brighton to the Western Isles. We value meeting in person but we don't have a mandated requirement on office attendance, even if you're nearby. We believe you'll do your best work if you are where you want to be. If you live outside of London and we ask you to come into the office, Monzo will support you with the costs ✨ Our offices are naturally social, especially Tuesdays, Wednesdays and Thursdays, which happen to line up with our twice-weekly Monzo lunches & treat Thursdays ️ Teams also schedule time together often for work and play – in or around the office, or online. Set up a work schedule that delivers impact and fits your life: At Monzo, we value connections, flexibility, and wellbeing. We keep our meetings during core hours to stay connected and believe in maintaining work/life balance. You’ll be empowered to manage your work in a way that suits you and your team, giving you the freedom for children drop-offs and pick-ups, walking your dog or adventurous cat, avoiding peak commuting times or gym slots, appointments, or supporting your family in an emergency ✨ If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance. Work the way that works for you with Monzo! You should apply if: • you have strong experience working on the backend of a technology product, • you want to be involved in building a product that you (and the people you know) use every day, • you have a product mindset: you care about customer outcomes and you want to make data-informed decisions, • you’re comfortable working in a team that deals with ambiguity, • you’re interested in distributed systems and writing resilient software, • you have some experience with strongly-typed languages (Go, Java, C, Scala etc.)., • you think you’d enjoy the kind of work we’re doing We're on the look out for L50 Engineers at the moment, you can read more in our _- we will interview you across the whole frame work, so if you are not sure what level you are aiming for please chat to your recruiters! Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we’re dedicated to creating a diverse and welcoming team. If you’re passionate about this role and keen to learn and grow with us, we encourage you to apply— even if you don’t have everything thats listed just yet. Drop us your application, we’d love to hear from you! What you’ll be working on: We hire very technically agnostic so whilst we use the below technologies we do not expect prior knowledge, you will be fully supported in our organised onboarding to get up to speed in the below: • to write our application code (there’s an excellent interactive Go tutorial ), • _ for most persistent data storage, • _ for our asynchronous message queue, • and to schedule and run our services, • _ for RPC, • for most of our production infrastructure and for most of our data infrastructure, • React for our public web apps and internal tools, • We also have physical datacenters with actual cables to connect to various third parties The Interview Process: Our interview process involves three main stages: • Initial Call, • Take home task or pair coding exercise, • Final interview: including a system design and a behavioural interview Our average process takes around 4 weeks but we will always work around your availability. One of our engineers has written a detailed blog on their experience through this process, for extra details, hints and tips please see _. What’s in it for you: £105,000 - £135,000 + Incentive Awards tied to your performance ✈️We can help you relocate to the UK ✅We can sponsor visas. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences ➕And much more, see our full list of benefits _ We're usually always hiring for Backend Engineers, so there's no closing date for this job. #LI-Remote #LI-HJ1 Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our , 2026 and 2025 _ We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage

Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With over 2,000 customers and ARR that has more than quadrupled over the past year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. ClickHouse’s incredible momentum was confirmed in its recent $400M Series D financing round. We’re on a mission to transform how companies use data. Come be a part of our journey! Note: This person may be based in the London, Berlin, or Amsterdam areas. Regular travel is required in this role. About the Role: As a Developer Advocate, you will be the voice of our internal and external developer communities at ClickHouse; playing a key role in building strong communication and engagement channels. You will engage with our communities in-person and online to drive awareness of our products and spark communication. As one of our first hires on the team, you would have a high level of ownership, a broad scope, and significant impact in shaping how our Developer Relations function develops as we grow. What You Will Be Doing: • Closely partner with the regional sales and marketing team on advancing our community goals., • Present at events such as technical talks, meet-ups, webinars, demos and trainings for technical and non-technical community members (online and in-person)., • Assist with the coordination for relevant conferences, meet-ups and events (online and in-person)., • Proactively engage with affiliate communities as a speaker and coordinator of joint events., • Help increase awareness about ClickHouse by creating high-quality content such as videos, blog posts, or podcasts targeted at engineers / technical end users, • Write code and create and maintain sample projects for demonstration and teaching purposes., • Work with our Marketing team to create and publish product-focused social media and newsletter content., • Help develop and report measurements of the activities and impact of the function towards company goals, • Support engineers in online communities such as Discord, Twitter, Slack and GitHub Discussions. What You Will Bring Along: • Technical background and deep familiarity with the data domain as a developer, infrastructure, data engineer, data analyst, etc.., • Experience and understanding of databases, data stores, data warehouses, and distributed systems would be ideal., • Experience with open source technologies and communities, as demonstrated by practical use and prior contributions to these projects, • Experience sharing knowledge and teaching other engineers about technologies in blogs, recorded videos, meetup and conference talks, training sessions, etc.., • Formal experience in developer advocacy, developer evangelism, or developer marketing a plus, but not required., • Excitement for organizing and hosting events, both formal and informal, for community growth, • Readiness to put yourself out in the community as frequent speaker on technical topics, • Adept at communicating technically complicated topics simply and elegantly, knowing how to share your vision and expertise with people from various backgrounds and disciplines. Deep empathy for developers learning a new technology., • Take initiative and are comfortable giving constructive feedback., • Happy to travel regularly If this sounds interesting, we would love to hear from you! Please include whatever info you believe is relevant: CV, GitHub profile, code samples, blog posts, videos of your speaking events, links to personal portfolio of projects, etc. #LI-Remote For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed. These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments. An individual’s placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization. If you have any questions or comments about compensation as a candidate, please get in touch with us at _. • Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in 20 countries., • Healthcare - Employer contributions towards your healthcare., • Equity in the company - Every new team member who joins our company receives stock options., • Time off - Flexible time off in the US, generous entitlement in other countries., • A $500 Home office setup if you’re a remote employee., • Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. Culture - We All Shape It As part of our first 500 employees, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values . Check out our or follow us on _ to find out more about what’s happening at ClickHouse. Equal Opportunity & Privacy ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see _ for our Privacy Statement.

Join the Growth Story at Envitia Envitia operates at the heart of the UK’s most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. Our solutions are secure-by-design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. A career with Envitia enables you to work with mission driven innovation. We’re thrilled to announce that Envitia has been named one of the Sunday Times Top 100 Medium-Sized Companies to Work For in 2025—a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Envitia is recruiting for a Data Engineer to join our Security and Intelligence consulting team, who will be responsible for designing, building and maintaining secure, scalable data platforms and pipelines that enable advanced analytics and operational intelligence capabilities. The role focuses on engineering robust data architectures capable of ingesting, processing and distributing large-scale datasets, supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production-grade data solutions. Typical engagements include: • Engineering large-scale data ingestion and processing pipelines, • Designing data lakes and distributed data platforms, • Enabling analytics and AI/ML workloads, • Supporting intelligence data exploitation workflows, • Integrating multiple classified data sources across secure environments Job Responsibilities • Design, build and maintain secure, scalable data platforms capable of processing large volumes of operational data., • Develop and operate robust data lakes and distributed data processing environments within secure or regulated settings., • Engineer high‑performance data ingestion pipelines for batch and streaming data from multiple sources, including sensor, geospatial, communications and operational systems., • Design and implement ETL/ELT workflows to transform, enrich and validate data for downstream analytics and machine learning use., • Build scalable, distributed data processing solutions using modern big data and parallel processing technologies., • Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms., • Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes., • Optimise data storage and processing architectures to support high‑performance analytical environments., • Contribute to DevSecOps and cloud‑native delivery, including automated deployment, infrastructure provisioning and containerised environments., • Support the ongoing operation, observability and resilience of production data platforms. Skills Required • Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL., • Hands‑on experience building and operating large‑scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark, Hadoop)., • Experience designing and maintaining data lakes, distributed storage platforms, and data pipeline orchestration tools., • Experience working with cloud‑native data platforms, with strong expertise in AWS and native data services., • Familiarity with Infrastructure as Code and modern cloud‑native data architectures., • Experience working in DevSecOps environments, including Docker, Kubernetes, CI/CD pipelines, and observability/monitoring tooling., • Ability to work directly with stakeholders to understand data requirements and translate them into robust, scalable data engineering solutions., • Comfortable working in secure, regulated or constrained environments, delivering solutions within complex operational settings. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance. Location It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations – Gloucester, London, Manchester (based on project requirements). What’s in it for you? At Envitia, our greatest asset is our team. We are committed to ensuring our workplace is one where every employee feels valued, supported and motivated to reach their full potential. As part of this commitment, we offer an exciting range of benefits designed to enhance both your professional and personal well-being. • More time for you: Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most., • Private Medical Insurance: We’ve got you covered with comprehensive private healthcare, including family options for added peace of mind., • Security Clearance Bonus: Up to £5,000 year, • Career growth that keeps you ahead: We invest in your future with ongoing training and development, so you’re always learning, growing and staying ahead of the curve., • Wellness that works for you: Love yoga, or going to the gym? We encourage an active lifestyle and support your wellness goals with a fitness reimbursement scheme that helps cover your gym membership or fitness-related expenses., • Life Assurance: Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present., • Smarter Retirement Planning: Plan for your future with our pension options and resources to help build a secure financial foundation., • Perkbox: Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services., • Recognition that counts: Great work doesn’t go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine., • Give back and get involved: Join us in making a difference through paid volunteering days that let you support the causes that matter to you. Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work-life balance. If you require any accommodations during the application or interview process, please let us know.

We are seeking a Senior Research Engineer to join our Artist-First AI Music lab. Our team pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles: Partnerships with record labels, distributors, and music publishers: We’ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.Choice in participation: We recognize there’s a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections. For more information, see this press release! _ • Close Collaboration: Work side-by-side with research scientists to conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, music information retrieval, machine learning, and signal processing., • Improve model training pipelines. You’ll debug distributed training, optimize data loading at massive scale, and ensure smooth scaling across compute environments., • Optimize performance. You’ll profile and accelerate existing training and inference code to make experiments faster and production systems more responsive., • Integrate models into production environments. You’ll work directly with platform and product teams to deploy models into the hands of hundreds of millions of Spotify’s users., • Incorporate state-of-the-art research. You'll translate models and techniques described in the literature into robust, well-engineered prototypes., • Maintain a high-quality codebase. You’ll enforce clear structure, consistency, and testing practices to support long-term maintainability on a codebase shared between members of a fast-paced globally distributed team., • Enhance researcher experience. You’ll build internal tooling, libraries, and workflows to make experimentation, debugging, and deployment more efficient for the whole team., • You have experience training or fine-tuning large machine learning models on GPUs using PyTorch or similar frameworks., • You have experience working with cloud platforms like Google Cloud Platform, AWS, or Microsoft Azure., • You understand how to debug problems in machine learning training code., • You communicate effectively with global teams and are ready to work both face-to-face and asynchronously with collaborators on multiple continents., • You have experience optimizing code for performance and can make GPUs “go brrr” (train at maximum efficiency)., • You learn new concepts and technologies quickly and keep up to date with the rapid pace of development in machine learning and AI., • You are resourceful and proactive; when faced with blockers, you seek out solutions through research, experimentation, and collaboration., • You’re not afraid to dig deep into the stack: working with lldb, NVIDIA Nsight, or other low-level debugging tools is a plus., • You have a solid grasp of computer science concepts like type systems, compilers, parallelism, thread safety, encapsulation, and the like., • You have an interest in learning more about audio processing and music information retrieval and you're excited about building amazing products that use these technologies., • We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have_, • This team operates within the Central European and GMT time zone for collaboration., • Core working hours are CET 3pm-6pm / EST 9am-12pm.Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice