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Trainee Digital Marketer – No Experience Needed Future-proof your career in Digital Marketing – starting today. Looking for a career change? You may already be working but want a role with clearer progression and better long-term prospects. Or you might be between jobs and ready to move into a new career path. The ITOL Recruit Digital Marketing Job Programme is designed to help you move into an in-demand digital marketing role, even if you have no prior experience. Train online at your own pace and land your digital marketer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £27,600 and £43,300. Why Digital Marketing Every business needs a strong digital presence to attract customers and stay competitive. From search and social to email and content, digital marketing plays a key role in driving visibility, engagement, and growth across online channels. This demand creates consistent opportunities, competitive salaries, and long-term career prospects across industries in the UK and internationally. Step 1: Digital Marketing Foundations Start with the core principles of digital marketing, including channels, customer journeys, and how businesses use digital platforms to attract and engage audiences. This stage builds the foundational knowledge required for entry-level digital marketing roles. Step 2: Channel-Based Digital Marketing Skills Develop practical skills across social media marketing, paid search (PPC), search engine optimisation (SEO), content marketing, and email marketing. You’ll learn how campaigns are planned, executed, and optimised using industry-standard tools. Step 3: Practical Digital Marketing Project Apply your knowledge through a practical digital marketing project designed to reflect real workplace scenarios. This project contributes to your portfolio and demonstrates your ability to plan, execute, and analyse marketing activity. Step 4 – Job Placement Once qualified, our recruitment team works with you directly to prepare applications, set up interviews, and secure your first role in digital marketing. What You Get 100% online, self-paced training Industry-recognised Digital Marketing qualification (DMI) Practical project to build a digital marketing portfolio 1-on-1 tutor and recruitment support Job guarantee – get a job or your money back Starting salary of £27,600 and £43,300 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. 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. “I didn’t come from a marketing background, so I needed something structured and practical. The programme helped me build real campaign experience, and shortly after finishing, I secured an entry-level digital marketing role.” - Todd M., Digital Marketing Executive, Birmingham Ready to Start? If you want to build digital marketing skills and move into an entry-level marketing role, this programme is designed to get you there

About the role: Let’s be honest: 2026 is a strange time to be in Talent Acquisition. Most sourcers are currently looking at their outreach metrics with a sense of unease. They’re seeing the response rates drop, the req loads shrink, and the ‘doing more with less’ memos that usually precede a layoff. If you’re currently at a startup that’s struggling to find its footing, or a business where the hiring bar has dropped just to fill seats, you know exactly how fragile that ‘growth’ story feels. Samsara is the exception. We are a fortress in a volatile market. We are a $1.75B ARR, NYSE-listed powerhouse that sells essential technology to the physical operations powering the global economy. And we aren't just stable—we’re expanding. Our UK Mid-Market team grew revenue 70% year-over-year last year, and we need a talent engine that can proactively identify and engage the elite talent required to match that velocity. We aren't looking for someone to process inbounds; we’re looking for a Sourcer II who wants to move from a shaky seat into a high-conviction, high-growth environment where the fundamentals actually make sense. The Challenge: • The Intelligence Engine: You are the architect of our pipeline. You will conduct in-depth research, including advanced data mining and competitive mapping, to identify the top talent in the market., • The High Talent Bar: We aren't looking for name-collectors. You will be expected to act as a rigorous gatekeeper, using innovative research and data-driven insights to solve complex sourcing challenges and identify top talent., • Beyond the Search: You aren't just sending InMails. You will be expected to master the craft of tailored prospecting, engaging high-performance passive candidates who don't even know they're looking for their next move yet. In this role, you will: • Execute & Deliver: Partner closely with recruiters and mid-level hiring managers to execute creative targeting strategies for high-volume, dynamic GTM roles across the UK and EMEA., • Own the Data: You are the CEO of your outreach. You will analyze recruitment data to identify bottlenecks and optimize your candidate engagement strategies, making decisions based on data, not gut feel., • Build Strategic Partnerships: Begin fostering trust with hiring managers by influencing hiring priorities through deep market insights and competitive intelligence., • Master the Craft of Sourcing: We hire for execution but develop for mastery. You will deepen your expertise in functional and technical challenges, becoming the go-to person for complex sourcing strategies. Minimum requirements for this role: • Sourcing Impact: Typically 3–5 years of relevant experience, including in-house SaaS GTM sourcing in a high-talent bar organization., • EMEA Exposure: Experience conducting research and industry trend analysis across multiple European markets., • Sourcing Mastery: Proficiency in advanced Boolean searches, competitive talent pool analysis, and the use of specialized sourcing tools like HireEZ and LinkedIn Recruiter. The Ideal Candidate is: • Foundational Mastery: You recognize that this is a role where the goal is to bridge the gap between execution and influence. You are here to build the bulletproof foundations of an exceptional sourcer—learning how to own a talent market and use data as a weapon., • Focused & Structured: You understand that structuring your inputs—sourcing volume, message personalization, and rigorous candidate qualification—is the only way to get consistent output., • Analytically Minded: You demonstrate pattern recognition through quantitative and qualitative data analysis to improve the efficiency and accuracy of the assessment process., • Iterative & Improving: You possess a relentless drive for self-improvement, constantly refining your outreach and research methods based on what the market data tells you. What’s in it for you? • Data Literacy: In this role, you will develop the data skills to influence talent decisions with metrics and the strategic insight to advise hiring managers on market conditions., • Elite Exposure: You will be exposed to a broad range of international roles and learn from some of the best GTM and recruiting leaders in the industry., • The Fortress Stability: NYSE-listed, GAAP profitable, and essential to the global economy. We are building for the long term, which means your career development here is backed by real revenue, not just a VC’s hopes.

About Us Journey is a leading hotel marketing agency, revolutionising the luxury hospitality and travel industry through creativity, incomparable Industry knowledge, and digital disruption. Working with the best luxury hotels and resorts in the world, empowering growth and increasing revenue through innovation, collaboration, and technology solutions. Before we get started, there are three things you need to know. At Journey, we will always have an entrepreneurial spirit. We started off as a team of six and have never forgotten our humble roots. To thrive you will need to embrace this mindset. We all roll up our sleeves, we help each other out, we admit if we are struggling, we lean on one another and we leave ego at the door. That is very important. Everyone plays a part. We are a business of collaboration and sharing, be it ideas, time, skills, knowledge, energy or snacks...we are in it together. Our clients are considered part of our business and we treat them with the same inclusive respect and consideration. Please be aware this is a UK-based Remote role, applicants must be a resident of and located within the UK for the duration of their employment. What you'll do Book is the e-commerce heart of Journey — the booking engine powering luxury hotels around the world. We’re looking for a Senior Product Designer to help shape its next chapter. This is a critical role in a product that drives millions in direct revenue every year. You’ll bring deep e-commerce and UX expertise, strong product thinking, and a data-driven mindset to a platform used daily by high-intent guests across web and mobile. You’ll help define the future of booking journeys, conversion pathways, merchandising patterns, upsells, and the core flows that make Book a true competitive advantage. You’ll work end-to-end: discovery, research, concepting, prototyping, testing, and final UI. You’ll operate within our design system while also maturing it. You’ll collaborate tightly with product, engineering, data and commercial teams — bringing clarity to complex problems and moving fast without dropping quality. Topline: We’re looking for a senior, commercially aware designer who understands e-commerce, loves user problems, thinks in systems, and knows how to turn insight into conversion-led product design. Lead end-to-end design for Book across discovery, UX, UI and delivery. Translate business goals, data insights, and hotel requirements into elegant, high-performing booking experiences. Own core user journeys such as search, availability, selection, checkout, upsell, and gifting. Conduct qualitative and quantitative research — interviews, usability tests, funnel analysis, behavioural insights. Use CRO principles, analytics, and experimentation to drive measurable improvements in conversion and revenue. Create high-quality flows, wireframes, prototypes and polished UI designs. Contribute to and expand our design system with scalable, reusable components. Work closely with engineering to ensure smooth handover, clarity and high-quality implementation. Support both iterative improvements and larger strategic projects, including the upcoming UX/UI overhaul. Present work with clarity, rationale and evidence — influencing thinking across teams. Champion data-informed, human-centred design and help evolve the product culture. What you'll bring 5+ years in product design, ideally in e-commerce, B2C, retail or transactional platforms. A portfolio demonstrating end-to-end UX/UI work with clear commercial outcomes. Strong UX capabilities: user journeys, interaction design, prototyping, IA. Strong UI craft with a clean, contemporary digital aesthetic. Proven experience using analytics, experimentation, CRO and A/B testing to guide decisions. Comfortable designing for mobile-first experiences and responsive interfaces. Experienced running user interviews, usability tests and research cycles. Systems thinker with experience working within and contributing to design systems. Excellent communication skills — clear, articulate, persuasive. Confident working in cross-functional squads with product and engineering. Calm under pressure, organised, and able to balance detail with speed. Curious, evidence-led and comfortable challenging assumptions. Responsibility, taking ownership of projects, delivering over expectations. What you'll get We’re a collective of disruptive thinkers, digital specialists and tech pioneers. But above all, we’re a team. We win together, and lose together. And we pride ourselves on our ethos of culture first, capability second. Strong people and communication skills. Commercially minded. Fast learner, accountable and ambitious. Passionate about detail, data and order. Focused on improving processes and systems. Ability to work under your own initiative in a fast paced environment and industry. Driven to be an expert in our industry and be ahead of our competitors. About us Think of your role here as more than just a job; it's about shaping your future, one hotel at a time. We're a team of innovators, strategists, storytellers, and engineers, all with a few things in common. We love hotels, we get results, and we provide great online experiences for hoteliers and their guests. Our work can be challenging, but we're firm believers that when you love what you do, you do it well. Find out more here: _

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 _.

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. This role is available for candidates located in the UK, Germany, Spain, Ireland and Sweden. The Opportunity: The Grafana Search & Storage squad is developing Grafana’s next-generation storage layer. As a key component of our App Platform, Unified Storage enables developers to build innovative applications using a Kubernetes-inspired Operator pattern to interact with data directly. In addition to operating Unified Storage at scale within Grafana Cloud, our team manages two essential features for discovery and organization: Search, the unified engine for finding and querying all Grafana data, and Folders, for hierarchical content management. What You’ll Be Doing: • Take an active role in influencing our roadmap and your own career objectives, • Work with your team to deliver new features, then use the results to iterate and improve., • Drive projects from initial ideation all the way to operations once it is in the hands of customers, • Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope, • Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability, • 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, • Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system, • As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must. What Makes You a Great Fit: • You are a motivated self starter with a bias towards action, • You are customer focused, • We build everything with our users in mind., • You have a passion for creating intuitive products that fit customers’ needs, • Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively, • Collaboration and communication: The smallest unit we have is a team. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must, • Solid experience with the Go programming language., • Demonstrated knowledge of and experience working with large distributed systems, • Experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way, • Experience with developing software that runs in the Cloud o r experience with systems engineering, • Experience writing clean, robust, and performant software that is easily maintained by others Bonus Points For: • Have been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects), • Familiarity with being on-call and performing operations/SRE tasks or with the concept of infrastructure as code 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: 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 .

Do you thrive in a fast-paced environment, where you gain a tremendous amount of responsibility? Do you want to be part of an exceptional entrepreneurial team with young, motivated and extremely driven people? And are you curious or passionate about finance? If so, you might be our Content Marketing Specialist. SetSales is Northern Europe’s leading sales community and aims to connect and develop commercially-minded executives, decision makers in sales, and aspiring entrepreneurs. We are connecting more than 4,000 professionals from more than 15 countries every year. SetSales is part of United Media which focuses on building large scale industry media and conferences products in sectors such as insurance, HR, private equity, retail, etc. As of today, we have organically launched 8 media companies and acquired one. As part of the Content Marketing Specialist, you have the unique opportunity to be part of building and scaling a company. By providing you with the ownership of our content marketing, we want to constantly push you out of your comfort zone. You’ll be working out of our HQ in London and to ensure a never-ending growth curve, we provide you with: • An opportunity to get operational experience in a start-up where both your work and the results are highly tangible and matter to the business, • A chance to work closely with the CEOs on our marketing execution, • Unlimited growth potential in our company - we strongly believe in and have a track record of promoting internally, • A competitive salary., • Invaluable transferable skills - boost your interpersonal, research, organisation, outreach and project management skills through experience and training. Your responsibilities will vary; however, some of them will be to: • Develop and create high-quality, engaging, and persuasive content for various marketing channels, including but not limited to websites, social media, emails, product descriptions, and advertisements., • Copywrite and design (with help from our Graphic Designer) emails and email campaigns to drive focus towards our events (i.e. webinars and conferences), • Collaborate with the marketing team to understand project requirements, target audience, and brand guidelines., • Edit and proofread content to ensure accuracy, clarity, and adherence to brand standards., • Stay informed about changes in search engine optimization (SEO) best practices to optimize written content for search engines., • Synergy: To collaborate with the other departments to identify content worth sharing with our audience, and also to inform them of our brands’ progress. You possess an unparalleled work ethic with a high sense of urgency. You have a relentless drive and desire to be the very best at what you do. You take ownership of everything you do, are proactive and follow through on commitments. Moreover, you’re humble and you share our passion for building and executing new businesses. Furthermore, we expect that you: • Have acquired a bachelor’s or master's degree with outstanding results, • Have a UK work permit, • Possess exceptional analytical and problem-solving skills, • Are an excellent communicator in English, writing and verbally with exceptional attention to detail., • Depending on the seniority of the role, we will require, proven experience as a Copywriter or in a similar role, preferably within a marketing or advertising agency., • Proficient in Microsoft Office and other relevant software. Flexible Monday - Friday we work from our office (next to Victoria Station) and do not offer remote work.

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. The Opportunity We build Tempo, the open-source distributed tracing backend behind Grafana Cloud Traces and Grafana Enterprise Traces (GET). Tempo makes it easy to search traces, generate metrics from spans, and connect tracing data with logs, metrics, and profiles across the Grafana stack. 2026 is an inflection point for Tempo. After a major architectural upgrade and the launch of TraceQL metrics, we are shifting from foundational work to product and operational excellence, and evolving Tempo from a SaaS database into a platform that powers Grafana’s next generation of observability products (App Observability, Asserts, Traces Drilldown, and AI-driven assistants). Over the next year, you will help us: • Make Grafana Cloud Traces “just work” for customers by eliminating rough edges, confusing limits, and hidden failure modes., • Achieve operational excellence at scale as we grow from close to 50 cells today into triple digits this year, with autoscaling, parameterized rollouts, and aggressive toil reduction., • Evolve Tempo into a platform enabler: higher-density APIs, trace aggregation, TraceQL metrics math, and machine/LLM-friendly interfaces that downstream products and agents can build on., • Push performance further: faster query latency at hundreds of MB/s ingestion and performant 30-day query ranges to match competitors., • Prepare Tempo for an agent-driven world: larger, burstier, higher-cardinality workloads, and new categories of AI-powered workflows, such as assistant-driven triage and “why is this slow?”- style investigations. What You'll Be Doing: As a Staff Engineer on Tempo, you will set technical direction on the hardest problems in our roadmap and raise the bar across the team. • Lead multi-quarter technical initiatives from problem framing through rollout, e.g., trace aggregation APIs, Limitless Tempo, autoscaling cells and customer limits, or query engine improvements., • Own the architecture of core Tempo components: ingestion, storage, query, and metrics generation. Drive design reviews, make sharp trade-offs on performance, cost, and complexity, and document the “why” for the team., • Design APIs for humans and agents. Shape the next generation of Tempo’s interfaces (structured, deterministic, discoverable) so that Act 3 products, LLM-driven assistants, and external integrators can build on Tempo reliably., • Drive operational excellence. Own outcomes against concrete SLOs (P99 write latency, incident recurrence, TCO per ingested GB) and push the team toward Zero Ops through automation, parameterized rollouts, and actionable alerts., • Partner with Product and sibling teams. Work closely with PMs and with App Observability, Asserts, Drilldown, and Grafana Assistant teams to understand how Tempo gets consumed and to ship what unblocks them., • Mentor engineers. Raise the engineering bar through code review, design feedback, pairing on hard problems, and writing that leaves the team smarter than you found it., • Participate in on-call for the services you help build, and be a force multiplier in incident response and post-incident learning., • Contribute to open source. Tempo is OSS. You will engage the community, review external contributions, and help steer the project in the open. 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-5.6, Claude Fable, Gemini Pro 3.1). Example problems you could work on: These are the kinds of projects landing in 2026. Any one of them is a Staff-sized problem: • Trace aggregation and higher-density APIs: extend TraceQL metrics, design LLM-friendly response types, and make Tempo a first-class data source for Grafana’s AI assistant., • Autoscaling end to end: customer limits and Tempo cells, with hysteresis, predictive scaling for spikes, and safe scale-down., • Agent-scale ingestion and query: guardrails for bursty, high-cardinality, agent-generated workloads., • Query performance: new data formats, smarter query pipelines, targeted optimizations for common Drilldown and Traces workflows, and 30-day query ranges., • Rollouts and multi-cell operations: parameterized rollouts, push-button deploys, and the tooling to grow safely into triple-digit cell counts without a proportional increase in alert noise., • Limits and self-service: drive customer-facing configuration and observability so escalations trend toward zero. What Makes You a Great Fit: • Technical leadership. A track record of leading complex, multi-quarter initiatives that spanned design, delivery, and operations, and made the teams around you better., • Deep systems experience. Substantial hands-on experience building and operating distributed data systems in production: ingestion pipelines, storage engines, query execution, or similar., • Strong software craftsmanship. You write clean, robust, performant software that others can maintain, and you know when to optimize vs. when to ship., • Strong Go, or a path to it. We write Tempo in Go. Deep experience in other systems languages (Rust, C, C++) translates well., • Operational mindset. You’ve owned production services, carried a pager, reduced toil, and treated SLOs as a product feature, not a chore., • Customer focus and pragmatism. You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate., • Leadership through writing and collaboration. You lead through design docs, reviews, and shipped code, not hierarchy. You communicate clearly in a fully remote, asynchronous environment. Bonus Points for: • Experience with tracing, OpenTelemetry, or large-scale observability systems., • Experience designing query languages, SQL/TraceQL-like engines, or APIs intended to be consumed programmatically (by services or agents)., • Experience with columnar storage formats (e.g., Parquet) or purpose-built on-disk formats for analytical workloads., • Experience operating multi-tenant, multi-cell SaaS infrastructure at scale on Kubernetes., • Experience building for AI/LLM consumers: structured APIs, metadata/discovery endpoints, deterministic outputs, evaluation harnesses., • Open-source contribution or maintainership, and comfort engaging a community in the open., • Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab)., • Experience in a fully remote, globally distributed team. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In the United Kingdom, the Base compensation range for this role is GBP 103,958 - GBP 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 _. *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 *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 .

Who are OnBuy? OnBuy are an online marketplace who are on a mission of being the best choice for every customer, everywhere. We have recently been named one of the UK's fastest-growing tech companies in the Sunday Times 100 Tech list. All achievements we are very proud of, but we don't let that go to our head. We are all laser focused on our mission and understand the huge joint effort ahead of us needed to succeed. Working at OnBuy: We are a team of driven and motivated people who thrive when working at pace. To succeed at OnBuy you need to take charge and fully own your responsibilities, rolling your sleeves up when needed to 'get it done'. Working at OnBuy you are surrounded by so much opportunity, but you must possess the ability to stay focused and prioritise ruthlessly. Most importantly, you will thrive in an ever-changing environment as we are constantly evolving. At OnBuy, you're not just a number or another cog in a machine. We are creating something really special, and you have the opportunity to affect meaningful change and have your voice heard. We are a close team, who have the opportunity to learn and grow as OnBuy evolves. About the Role We’re building a more intelligent, scalable product catalogue across multiple markets. Core capabilities like auto-categorisation and brand detection already exist, but they are not yet connected into a system that consistently drives quality, discovery, and growth. This role owns that system. The Senior Applied ML Engineer - Catalogue Intelligence is responsible for building the machine learning systems that power OnBuy’s catalogue decisioning engine. Working in partnership with the Head of Seller Solutions, who defines catalogue rules and commercial logic, you will design and deploy production-grade systems that automatically improve: • Product categorisation, • Product data quality and completeness, • Pricing competitiveness insights, • Catalogue coverage and selection, • Product discoverability This is a hands-on, production-focused role where outputs directly modify the live catalogue and materially impact GMV, conversion performance, search, and discovery. Core mission Turn catalogue rules and commercial logic into automated, data-driven systems that continuously improve discovery, data quality, pricing competitiveness, and revenue outcomes. What you’ll be responsible for You’ll take ownership of how product data is structured, validated, and used across the platform. This includes: • Improving how we classify and understand products at scale, • Raising the overall quality of catalogue data and defining what “good” looks like, • Ensuring product data supports effective search, filtering, and discovery, • Identifying gaps in our catalogue and surfacing opportunities for growth, • Improving how our catalogue performs across external channels, • You’ll build and evolve the systems and decision logic that enable this, and iterate based on real-world performance and data. You’ll work across: • Structured data (catalogue attributes, GTINs, taxonomy), • Unstructured data (text and images), • Behavioural data (search, clicks, conversions) How you’ll work You’ll build directly using SQL and Python on top of: · BigQuery · Airbyte · Google Datastream You’ll be working across data pipelines, information extraction, and production ML systems, combining rules, heuristics, and ML/LLMs where appropriate. The focus is on shipping practical systems quickly, validating them with real data, and improving them over time. You’ll work closely with engineering, product, and analytics, but you’ll be expected to own and deliver the core logic yourself. This role is not focused on research or offline modelling. You’ll be expected to build systems that operate in production and directly influence how products appear and perform on the platform. Experience & Skills • Experience building and shipping production data or ML systems with measurable business impact, • Strong Python and SQL skills, with the ability to work across data pipelines end-to-end, • You should be comfortable applying modern approaches such as LLMs, multimodal models, and information extraction techniques, and taking them from experimentation into production with proper evaluation, monitoring, and cost control., • Experience working with messy, unstructured or semi-structured data (e.g. text, images, product data), • Ability to design systems that make decisions, not just predictions, • Strong judgement in balancing accuracy, risk, and business impact, • Experience with ecommerce or marketplace catalogues is a plus, but not required. How you’ll operate • Take ownership of problems end-to-end, from idea through to production impact, • Build systems that are scalable, testable, observable, and auditable, • Design automation with confidence thresholds, monitoring, and feedback loops in mind, • Maintain clear documentation, evaluation frameworks, and versioning for models and logic, • Work pragmatically, favouring simple solutions that deliver impact quickly, • Communicate trade-offs clearly to technical and non-technical stakeholders, • You should be comfortable working in environments where data is incomplete, inconsistent, and constantly evolving., • You’ll be working across cloud-based data systems (GCP), building and deploying data pipelines and production ML workflows. Experience with orchestration tools (e.g. Airflow or similar), CI/CD, and model deployment practices is beneficial. The salary on offer for this role is £65000- £75000 depending on experience. We also offer the following benefits: • Company Equity- In return for helping us to grow, we’ll offer you company equity, meaning you own a piece of this business we are all working so hard to build., • 25 days annual leave + Bank Holidays, • 1 extra day off for your Birthday, • Employee Assistance Programme, • Perks at Work benefit platform, • Opportunities for career development and progression This role is UK remote or Hybrid if you live near our Manchester or Bournemouth's offices. Please only apply if you have the full right to work in the UK Our Commitment OnBuy is an equal opportunities employer. We are dedicated to creating a fair and transparent workforce, starting with a recruitment process that does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. Just a heads up — we never use WhatsApp. or any messaging apps to contact candidates If someone reaches out this way, it isn’t us and let the recruitment team know.

Do you thrive in a fast-paced environment, where you gain a tremendous amount of responsibility? Do you want to be part of an exceptional entrepreneurial team with young, motivated and extremely driven people? And are you curious or passionate about finance? If so, you might be our Content Marketing Specialist. HRtechX is a world leading HRtech community, connecting industry executives, entrepreneurs and professionals. We are a start-up on a growth journey who help leaders evolve and create stronger businesses through people and technology. We aim to address the challenges and opportunities for HR and HR Tech. We bring together the most influential executives, investors, and entrepreneurs to share their insights on how technology will shape the future of HR, as well as forge long lasting partnerships and client relationships. HRtechX is part of United Media which focuses on building large scale industry media and conferences products in sectors such as insurance, HR, private equity, retail, etc. As of today, we have organically launched 8 media companies and acquired one. As part of the Content Marketing Specialist, you have the unique opportunity to be part of building and scaling a company. By providing you with the ownership of our content marketing, we want to constantly push you out of your comfort zone. You’ll be working out of our HQ in London and to ensure a never-ending growth curve, we provide you with: • An opportunity to get operational experience in a start-up where both your work and the results are highly tangible and matter to the business, • A chance to work closely with the CEOs on our marketing execution, • Unlimited growth potential in our company - we strongly believe in and have a track record of promoting internally, • A competitive salary., • Invaluable transferable skills - boost your interpersonal, research, organisation, outreach and project management skills through experience and training. Your responsibilities will vary; however, some of them will be to: • Develop and create high-quality, engaging, and persuasive content for various marketing channels, including but not limited to websites, social media, emails, product descriptions, and advertisements., • Copywrite and design (with help from our Graphic Designer) emails and email campaigns to drive focus towards our events (i.e. webinars and conferences), • Collaborate with the marketing team to understand project requirements, target audience, and brand guidelines., • Edit and proofread content to ensure accuracy, clarity, and adherence to brand standards., • Stay informed about changes in search engine optimization (SEO) best practices to optimize written content for search engines., • Synergy: To collaborate with the other departments to identify content worth sharing with our audience, and also to inform them of our brands’ progress. You possess an unparalleled work ethic with a high sense of urgency. You have a relentless drive and desire to be the very best at what you do. You take ownership of everything you do, are proactive and follow through on commitments. Moreover, you’re humble and you share our passion for building and executing new businesses. Furthermore, we expect that you: • Have acquired a bachelor’s or master's degree with outstanding results, • Have a UK work permit, • Possess exceptional analytical and problem-solving skills, • Are an excellent communicator in English, writing and verbally with exceptional attention to detail., • Depending on the seniority of the role, we will require, proven experience as a Copywriter or in a similar role, preferably within a marketing or advertising agency., • Proficient in Microsoft Office and other relevant software. Flexible Monday - Friday we work from our office (next to Victoria Station) and do not offer remote work.

.NET Developer - Oxford, Oxfordshire (Tech stack: .NET Developer, .NET 9, ASP.NET, C#, React, Angular 19, Microservices, Vue.js, TypeScript, Azure, Web API 2, Agile, Azure SQL, Programmer, Full Stack Engineer, Architect, .NET Developer) At this very moment our client is constructing the world's first intelligent answer engine based on semantic information recognition. This new search engine is based on innovative cloud data technology which doesn't recognise meaning by search words but rather by the correlation as regards to content and is able to generate answers from data. Our client has had some of the brightest minds in .NET software development working on this product for the past 3 years and feels it is now time to take the market by storm. Their ultimate goal is to overtake Google by 2027. In line with this, they have begun a period of aggressive expansion and have opened a stylish new UK office. As part of this, they are looking to recruit the next generation of .NET Developer to take this search engine to new heights. They are looking for .NET Developer who have experience in .NET, .NET Core / ASP.NET MVC, C# and Azure SQL. You will receive training in all aspects of: .NET 9, JavaScript, React, Angular 19, Microservices, MongoDB, Vue.js, TypeScript, Azure, AWS, Web API 2, Entity Framework, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and MongoDB. These .NET Developer positions come with the following benefits: • 10% bonus (5% based on personal performance, 5% based on company performance)., • Generous pension scheme and private healthcare., • Training allowance of £10,000 per year., • Free lunch., • Summer exchange programme with European offices (the company will pay for accommodation for you and your family for a period of up to six weeks)., • 27 days holiday (excluding Bank Holidays) plus your birthday off., • Flexible working hours., • Team BBQ every Friday afternoon during the months of July and August (early finish)., • Free gym membership., • 2 days per month allocated for team building activities, • Access to a gaming lounge- complete with pool tables, ping pong tables and retro arcade games (yes this does include Pacman!!!). If you are interested in working with a development team that contains 3 current MVPs then please apply without delay. Location: Oxford, UK / Remote Working Salary: £50,000 - £55,000 + Bonus + Pension + Benefits Applicants must be based in the UK and have the right to work in the UK even though remote working is available. Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions! NOIRUKNETREC NOIRUKREC

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