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Senior Machine Learning Engineer UK or Poland (Remote or Hybrid, it’s up to you!) Dependent on experience Be part of our success with the opportunity to join our company equity scheme Our Perks ❤️ Monthly Health & Wellness budget, increasing with length of service Annual Learning and Development budget, increasing with length of service ‍♂️ Flexible working in a choice-first environment - we trust the way you want to work! ️ Work From Home Allowance 25 Holiday Days + your local bank holidays, plus an extra day for every year of service Your birthday off Enhanced Family Leave (UK Only), Fertility Leave, and Neonatal Leave ⚕️ Optional Healthcare Plan Life & income protection (Location dependent) Employee Assistance Programme (UK Only) The opportunity to share in the company’s success through options If you’re in London, a dog-friendly office with great classes, events, and a rooftop terrace ‍♀️ The Role ‍♀️ Our mission is to help large successful brands like Uber, Amazon, Wise, HelloFresh (and more!) put their customers at the centre of everything they do. Using best-in-class tech in a fast-developing AI space, our Customer Experience Intelligence platform continuously analyses explicit and implicit feedback to enable our clients to identify what they should do next. We're hiring a Senior Machine Learning Engineer to join the team and help build and ship the next generation of that stack. What you'll be doing: Unlike many companies, we use our own custom models, specialised for customer feedback, across various parts of the stack: extraction, retrieval, reranking, summarisation, and sentiment analysis. We are also pragmatic and understand that the right solution can be a combination of off-the-shelf LLMs, bespoke fine-tuned models, and sometimes techniques that utilise no LLM at all. This means you will: Train, evaluate, and iterate on ML models and agentic systems for customer feedback, including owning our custom fine-tuning pipelines. Run experiments end-to-end, track results rigorously, and make clear recommendations on what to ship, iterate, or retire. Build and maintain LLM-powered features: retrieval pipelines, reranking systems, insight agents, data mining agents, and automated taxonomy generation. Design and run robust evaluation frameworks: build test sets, define metrics, evaluate non-deterministic systems, handle class imbalance, and automate checkpoint comparisons. Improve and extend semantic search and retrieval, evolving from embedding-based approaches toward more advanced methods. Write production-quality code and collaborate closely with Engineering on productionisation, model serving, data pipelines, and monitoring. Work with Product and Commercial teams to translate business needs into practical ML solutions, and support client evaluations and accuracy benchmarking. Mentor team members, review code and research, and bring relevant advances from the literature into the product. What you’ll need: A deep working knowledge of transformer architectures. Strong PyTorch skills, with the ability to write custom training loops, modify model architectures, and debug issues at the tensor level. Ideally, experience with parameter-efficient fine-tuning techniques such as LoRA Extensive experience working with large-scale, messy real-world text data, including classification, extraction, embeddings, re-rankers, clustering, and search. Experience in instruction fine-tuning and serving language models, familiarity with frameworks such as vLLM, DeepSpeed, or similar tools A solid grounding in classical ML and statistics, and the judgement to choose simpler methods when they’re the right solution. Practical experience building with GenAI and agentic patterns. Excellent communication skills and confidence translating complex technical concepts for non-technical audiences (and vice versa!). Technical curiosity and a keen interest in AI – a love of experimenting to make the most of available technology. High ownership and initiative, with the ability to identify problems, prioritise effectively, and drive solutions forward. ➕It would be a bonus if you: MSc/PhD in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Computational Linguistics or a closely related STEM field. Experience with reinforcement learning techniques, such as with verifiable reward (RLVR) Our Hiring Process Let’s introduce ourselves – you’ll complete an introductory asynchronous interview - we’d love to learn more about you, your ambitions, and what you’re looking for in your next step. Get to know your would-be manager – you’ll have a call with Aji, our Chief Scientist, to learn more about the role and show off your experience. Show us how you work – you'll complete a short take home assignment Get to know your would-be team – You'll meet a mix of people who you'll be working closely with from the Data Science, Engineering and Product teams. How our values and your career goals align – you’ll have a call with our cofounder to learn more about life at Chattermill and ensure we’re the right place for your next stage of growth. Our Values We are obsessed with experience – We take our mission to rid the world of bad Customer Experience seriously, and we practice what we preach. We believe in the power of trust – Whether it's with each other, our customers, partners, or other stakeholders, we always communicate with openness and trust. We act as responsible owners – Whether it's about the company, a team, a project, or a task, having the freedom to make decisions in our area of responsibility is a crucial driver for us. We share a passion for growth & progress – On every level, we’re motivated by taking on new challenges – even if they seem out of reach. We recognise that we are learning machines and we always seek to action feedback and improve collectively. We set our ambitions high but stay humble – We've come together to build a product and a category that’s never been seen before. While we're an ambitious bunch with lofty goals, we don't approach this goal carelessly. We believe the right team is the key to success – At Chattermill we’ve learned that all our important achievements have been the result of the right people collaborating together – that’s why we need you to apply today! Diversity & Inclusion We want to enable exceptional experiences for everyone, and to achieve this we need everyone’s voice in our team. We are on a mission to bring more diversity into the business and to give everyone (from all backgrounds and abilities) a chance to join us, even if they may not fit all of the requirements set out in this job spec. We realise that some may be hesitant to apply for a role when they don’t meet 100% of the listed requirements – we believe in potential and will happily consider all applications based on the skills and experience you have, we’d love to be part of your growth and we encourage you to apply! #machinelearning #machinelearningscientist #seniormachinelearningscientist #datascience #machinelearningengineer #seniormachinelearningengineer #deeplearning #LLM #ML #data #AI #PyTorch

🚀 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 ❤️ 📍Location Remote in the UK | 💰 £24,750 to £29,625 + | ✨ (If you are based in London the minimum salary offer will be £27,250) Please reference any literature that you may refer to, as applications that are highly plagiarised and not your own work. e.g. ChatGPT, will be declined. Your Day to Day; Our Collections team are the financial health heroes at the core of Monzo. They are here to identify and support customers who may be struggling with debt, offering them compassion and options to help. They do this with their top notch understanding of Monzo’s award winning lending products, credit file details and something we call a ‘decisioning process’ - something we’ll teach you all about! You should apply if: • You are able to start on 13th April 2026 and able to attend 7 weeks training, Monday to Friday 9am - 5.30pm, • Prior experience in Collections, Debt Recovery or Customer Service within a contact centre environment experience would be advantageous, • Have a background supporting customers with vulnerability, • You’ll need to have a background supporting customers, • The ability to communicate with customers to the highest standard because we only want the best for them, • You can ask open questions to understand their situation, listen and provide solutions via our in-app chat, outbound and inbound calls and emails, • From time to time things are complex so a keen eye for detail and a high standard of work will really help in this team, • Understanding and keeping up to date with our regulatory obligations and ensuring these are fulfilled in our customer outcomes (in line with the FCA).Most importantly - you live and breathe people and customers like we do The interview process: Our interview process involves 3 main stages: • Please answer the application questions and the 4 scenarios within, • Recruiter Call - 30 minutes, • Competency-based Values and Role Specific Interview - 60 mins approx. ⏰ Your working life and shift requirements • Working hours fall within Monday to Friday 8am to 8pm and Saturday and Sunday 9am - 6pm (37.5 hours a week, remote working)., • Your shift pattern will vary on a weekly basis, but don't worry, we give you plenty of notice in advance., • You're guaranteed 1 full weekend off each month., • We'll guarantee time off on your birthday (if you want it). This will come from your regular holiday balance and provided you have enough to cover it. 🙌 What’s in it for you 💰 £24,750 to £29,625 ➕ plus stock options & benefits 📚£1,000 learning budget each year to use on books, training courses and conferences. ➕ Plus lots more! _. We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. _ You’ll hear from us throughout the application process, but if you’ve got any questions, please reach out to falahahmad@monzo.com. You can also use this email address to let us know if there’s anything we can do to make the process easier for you because of disability, neurodiversity or anything else. Please note we will close this role once we have enough applications for the next stages. Please submit your application asap to avoid any disappointment. #LI-REMOTE #LI-FA1 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 , 2024 and 2024 _ 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 😊

We are a first-mile intelligence platform, delivering granular visibility into the point of origin in global ag & soft commodity supply chains - where risk, cost, performance and exposure are set. You’ll join a global, cross-functional team that values rigour, curiosity and working close to real-world challenges. Whether your focus is AI, climate, product or operations, you’ll have space to contribute meaningfully and make an impact from day one. If you’re excited by complex problems and want to help reshape how nature is valued in real-world decision-making, we’d love to hear from you. We are hiring a Machine Learning Scientist into the Science Team to contribute to the development of models — from classical statistics and gradient-boosted methods through to deep learning when warranted — that turn satellite, radar, and LiDAR observations into defensible, plot-level intelligence on the world's commodity supply chains. You will work across the full lifecycle — from research and prototyping through to validated, productionised models. A meaningful fraction of the team's work centres on building lightweight downstream models — classifiers, regressors, similarity-search workflows. Likely focus areas for this role include: Commodity and plantation mapping by region - palm oil, cocoa, coffee, rubber, soy, timber and similar - in support of EUDR compliance and supply-chain due diligence. Forest degradation and biomass / canopy-height estimation from multi-sensor fusion. Develop ARR feasibility models that fuse climate, soil, and remote-sensing inputs to estimate site potential, forecast biomass and carbon trajectories, and quantify physical and permanence risk. Design, train and evaluate ML models - from gradient-boosted methods to CNNs, U-Nets and vision transformers - for commodity and plantation mapping, land-cover classification, change and disturbance detection, and biomass / canopy-height estimation. Build embedding-driven workflows on top of EO foundation models - few-shot classifiers, similarity search, downstream regressors. Design validation strategies that benchmark outputs against plot inventories and third-party reference datasets, quantify uncertainty, and surface failure modes; produce QA artefacts (maps, plots, model cards, error analyses) that internal teams and clients can trust and defend. Partner with Engineering to take models into scalable, reproducible inference pipelines across millions of plots, and contribute to a strong research culture across Science, AI and Engineering - reviewed code, shared tooling, and active engagement with EO/ML literature. Degree in a quantitative field: environmental/earth science, computer science, physics, maths, engineering, or similar. 3+ years of applied machine-learning experience, including time spent in an industry, product, or startup setting i.e. shipping models. Expertise in geospatial Python tooling: rasterio, xarray, geopandas, GDAL, and the STAC ecosystem. Hands-on experience training, evaluating, and debugging ML models across the modern Python stack - deep learning (CNNs, U-Nets, vision transformers) using PyTorch, as well as classical methods (gradient boosting, random forests) with scikit-learn. Demonstrable experience with remote sensing data (optical, SAR) and an understanding of the sensor-specific quirks that matter for modelling. Comfortable with Git, cloud compute (AWS or similar), and collaborative codebases. Clear written and verbal communication: can explain modelling choices, uncertainties, and trade-offs to scientific and non-scientific stakeholders. Domain exposure: deforestation, land-use change, biomass / canopy-height estimation, climate risk, or supply-chain transparency. Experience using EO foundation models as a downstream substrate - building lightweight classifiers, regressors, or similarity-search workflows on top of frozen embeddings (e.g., AlphaEarth Foundations, Clay, etc). Comfortable fine-tuning or pretraining where the case justifies it. Multi-modal fusion experience - combining optical (Sentinel-2, Landsat), SAR (Sentinel-1, PALSAR), and/or LiDAR (GEDI, ICESat-2) into unified predictions. Time-series modelling for environmental change detection - temporal transformers, sequence models, or self-supervised approaches. Comfortable building with AI-assisted development tools as a core part of your workflow. Familiarity with Google Earth Engine, Microsoft Planetary Computer, AWS Open Data, or other STAC-based catalogues. Experience working in cross functional teams working alongside solutions architects, sales, and engineering. You’ll report to the Science Team Lead and partner day-to-day with the wider Science Team while working closely with Engineering and Product teams. This is a Science Team role with regular touch points with Engineering and Product - the interview process gives you a chance to meet your immediate team and a couple of key partners. Recruiter screen (30 min) Hiring manager (45-60 min) Science Team technical interview (45 min) Engineering and/or Product interview (30 min) Potential in-person problem-solving session with the team - designed to be interactive and a glimpse of what being part of the Science Team will be like! Accessibility: Tell us if you need adjustments, we’ll accommodate. What you’ll gain at Treefera Build something that matters - join a high-growth climate-tech company applying AI, satellite data and quantitative modelling to real-world challenges across global supply chains, commodities and carbon. Work on complex, meaningful problems - develop systems that balance risk, resilience, compliance and sustainability, giving organisations a genuine information advantage at global scale. Collaborate with exceptional people - work alongside scientists, engineers and operators who are leaders in their fields, combining academic rigour with practical, cross-functional product delivery. Ship and grow in a high-trust environment - experiment, iterate and take thoughtful risks in a team that values autonomy, creativity and continuous learning. Develop your craft - dedicated space and time to grow your skills toward mastery, tackling technically demanding challenges that push the boundaries of applied AI and environmental data. Be rewarded for your impact - competitive compensation, equity options, meaningful benefits, and the opportunity to help shape the future of AI-powered risk and environmental intelligence. Diversity, Equity & Inclusion Bold solutions come from diverse teams. Please refer to our DEI & EEO commitment below. If you need any accommodation during the application process, we’re here to support you. Learn more about how we think and build Many of our engineers, scientists and product leaders share their thinking publicly. Explore the Treefera _ for technical deep dives, research and product perspectives. Privacy notice By applying to Treefera, you consent to the processing of your personal data in line with our _.

Ideals is a global B2B SaaS product company recognized as _ in the secure business collaboration market. Trusted by over 2,000,000 users from 175,000 companies globally, we are on a mission to create more prosperity in the world by accelerating high-stakes business decisions. We achieve this by delivering extremely intuitive and robust software products that help people make impactful decisions with less stress, higher quality, and shorter hours. Our key products include: _: A secure, cloud-based platform for sharing confidential documents during due diligence, fundraising, M&A, legal transactions, and other business-critical workflows. _: A platform for boards and executive teams to streamline governance and enhance decision-making in a fast, secure, and compliant way. Ideals is among the Top-5% of companies on _, as rated by Sales professionals. The Sales team has been a driving force behind our impressive 30%+ year-over-year growth, consistently generating millions in revenue. To support the expansion of the Ideals VDR line of business in the UK, we’re looking for a Business Development Manager based in London. You’ll proactively prospect outbound opportunities, acquiring new customers with the ultimate goal of closing deals. As a front-line, quota-carrying team member, you will actively reach out to new customers and oversee a pipeline of opportunities. Engaging proactively with C-suite and key decision-makers across Finance, Banking, and other sectors, you’ll accelerate our continuous revenue growth in the the UK market. Tools we use: LinkedIn Sales Navigator, HubSpot, AmpleMarket, Aircall, Clay Build relationships with key stakeholders and industry influencers throughout London Deliver sales targets by focusing on new customer acquisition Proactively build and manage a pipeline, working with strategic X accounts and constantly developing new opportunities Actively contribute to the execution of the sales and marketing strategy for the X region Take part in arranging _ events, enhancing Ideals' visibility Deliver compelling product presentations to clients Structure, negotiate, and close deals Consistently share insights and provide updates to customers Provide relevant customer feedback to the product development and management teams Collaborate with Customer Success and Inside Sales to grow customer satisfaction and the company’s revenue 3+ years of experience in a full 360 – from origination to closing – within B2B or professional services sector Ability to effectively engage with C-level decision-makers A track record of successfully managing pipelines and closing deals Exceptional business communication skills to structure persuasive pitches and navigate client discovery Screening call with the Talent Acquisition Specialist (30-45 mins) Hiring Manager interview (60 mins) Role Play with the Hiring Manager (60 mins) Competency-based interview with the Talent Acquisition Specialist (60 mins) We highly value our people, so we will empower you with all the resources and support to help you reach your full potential. Remote-first flexibility to shape your ideal workday Home workplace budget Co-working expense coverage Individual IT budget for extra equipment Top-tier tech and AI-powered tools Access to Ideals Academy with numerous courses Investment in external learning and development activities Guidance in Personal Development Plan creation Professional literature and subscriptions coverage Support of your passion as a speaker or writer Internal talent mobility opportunities Tailored Wellness Package for your physical and mental health Funding for sports competitions 25 business days of paid time off per year Paid health-related time-off Team-building offline and online events Budget for meetups with your local team Generous internal referral program Commitment, Excellence, Collaboration, Trust and Care are core values to the Ideals team. For us, these are the principles that every Idealer lives and breathes. We are on the lookout for like-minded individuals who share our values. By doing so, we create a team where talents feel at ease and work to the best of their abilities. _. Ideals is an equal opportunity employer Ideals is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people from all walks of life. We don’t discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, or citizenship.

Seeking an inspiring English Teacher for a secondary school in Chelmsford to deliver engaging lessons, support literacy, and contribute to curriculum planning.

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The NetSuite Finance Transformation Specialist leads the design and implementation of finance process improvements enabled by NetSuite.This role partners with finance, IT, and business stakeholders to optimize workflows, enhance reporting, and drive the successful delivery of transformation initiati

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Rotating shifts: Monday to Friday 08:00–17:00 and 11:00–20:00.We are recruiting for a Site Chemist to join a busy Hazardous Waste Transfer Station in Grays, Essex.This is a varied and hands-on role within the Technical team, combining laboratory, operational and customer-facing responsibilities.

Global Medical Director – Rare Disease.This position is to be based out of either Paris, France or London, UK.As part of the Rare Diseases division, this Global Medical Director role will focus on a launch brand to treat Rare Liver Diseases.This is a very visible role with exposure to working with

What if self-employment did not mean starting from scratch?.We are helping experienced solicitors in Sunderland explore self-employment with the infrastructure, support, and credibility needed to build a sustainable practice.This is for solicitors who want more control over their work, income, clien

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Starfish Search is supporting a Local Authority in the North of England to appoint an Interim Adults Business Change Manager to support the delivery of a significant transformation programme across Adult Social Care.Lead and deliver business change initiatives across Adult Social Care services.Suppo

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This food brand is on a mission to transform consumers’ lives with delicious and nutritious food without any compromise on taste or convenience.They care passionately about driving change for good, making lives that little bit better and healthier every day – creating healthier choices, improvin

Head of Transformation (Delivery) Ref: 197072.Competitive + Benefits (£95,000 - £125,000 per annum + benefits).We're looking for an experienced.Head of Transformation & Deliver.This is a senior leadership role responsible for leading the successful delivery of complex business, operational and tra

Basic £75,000-£85,000 + 20% bonus + benefits.FinTech SaaS – Mid Market & Enterprise.Huge growth potential in EMEA and a scaling business.Do you have Customer Success experience working with complex high value enterprise clients?.Do you have experience working with FS companies or Finance Decisio