Trabajos data scientist en OxfordCrear alertas

This is a vacancy for a hybrid, remote or on-site role at one of our HQs. We encourage applications from all qualified candidates, regardless of gender identity. As we continue to expand and evolve our Data Platform and Data Network products, we're looking for a Senior Machine Learning / Artificial Intelligence Engineer (m/f/x) to join our Product & Engineering team. In this role, you'll collaborate with our Principal Data Scientist to facilitate the establishment of practical AI solutions and scale our product capabilities, enhancing data integration offerings across our products. At Lobster, our Data Platform, Data Network, and connected Data Products share one mission: to connect people, data, and intelligence (human & artificial) to transform processes in supply chain, manufacturing, and retail. We empower our customers with the right tools to tackle complex challenges with scalable solutions. Ready to make your mark in an AI-driven environment? • Designing and building robust, scalable systems that support high-volume supply chain transactions across our platform., • Defining and implementing AI strategies and scalable microservices that drive data mapping, transformation, and intelligent integration., • Developing and maintaining RESTful and GraphQL APIs to ensure seamless communication between services and systems., • Creating and optimizing event-driven data pipelines to enable real-time processing, automation, and decision-making across our products., • Evaluating, selecting, and implementing the best-fit tools and technologies to solve complex engineering and data challenges effectively., • Collaborating directly with key customers and internal stakeholders to validate solution performance and ensure product impact and usability., • 5+ years of engineering experience focused on Machine Learning, AI, and Data Science., • Hands-on production experience with LLMs, PyTorch, ML pipelines, and modern prompt engineering frameworks., • Strong skills in Python development, including building microservices and working with event-driven architectures., • Proficiency in designing and consuming RESTful and GraphQL APIs., • Experience with AWS or Azure ML services (e.g., SageMaker, Bedrock, Azure ML) and cloud-native development., • Experience with PostgreSQL and MongoDB or similar relational and NoSQL databases., • A solid grasp of system design, scalability, and performance optimization in ML-driven applications., • A pragmatic, test-driven approach and experience implementing CI/CD pipelines., • Ability to translate business requirements into practical technical solutions, especially in data integration for supply chain/logistics contexts., • Strong communication skills in English., • Opportunity to work flexibly from home, • Modern offices in Germany, the Netherlands, and the UK, • A personal Learning & Development budget, • Up to 20 days of remote work per year from any EU country, • Company Pension plan, • 30 vacation days a year, • Location-specific benefits packages (your recruiter will be happy to provide more details during your first chat), • Company-sponsored business travel For this role, we are open to working with specialists based in Germany, the Netherlands, or the UK. Whether you prefer working on-site at our offices in Tutzing, Rotterdam, Leeds or remotely from a location within one of these countries, we’re happy to accommodate your preferred working style. If you’re excited about this role but don’t meet every qualification, we encourage you to apply! Lobster is an equal opportunity employer. We are committed to fostering a diverse and inclusive environment where empathy and respect guide our interactions.

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! We’re looking for a senior Applied Scientist to lead the design and experimentation of Wayve’s core pretraining datasets for foundation models in embodied AI. This is a high-impact opportunity to shape the data that drives model generalization across cities, embodiments, and reasoning tasks. You'll work across research, data, and engineering teams to build world-class multi-modal datasets and define how we evaluate and improve them at scale. • Lead the design, curation, and analysis of large-scale pretraining datasets for embodied AI, • Develop and run data-centric experiments to optimize training effectiveness and generalization, • Collaborate with cross-functional teams in London, Sunnyvale, and Vancouver on data architecture and strategy, • Define and implement metrics and benchmarks to assess dataset quality and model-data interactions, • Contribute to research outputs, tools, and processes that elevate data as a core lever for progress What you’ll bring to Wayve In order to set you up for success as a Senior Applied Scientist at Wayve, we’re looking for the following skills and experience. Essential • 3–5 years of experience post-PhD, or equivalent experience in industry with a focus on dataset design, multi-modal learning, or pretraining, • Strong applied research track record, including publications in venues such as NeurIPS, ICML, ICLR, CoRL, CVPR, or similar, • Hands-on experience curating, filtering, and scaling large datasets (vision, video, or multi-modal) for machine learning models, • Proficiency with machine learning frameworks (e.g., PyTorch) and large-scale data processing (e.g., Ray, Spark, Flyte and other distributed compute infrastructure), • Ability to design and run scientific experiments to evaluate dataset impact on model performance, • Strong communication and collaboration skills, with experience working across technical and cross-functional teams Desirable • Experience with foundation model training pipelines and data selection for large-scale pretraining, • Familiarity with multi-modal, temporal, or sensor-rich datasets (e.g., video, LiDAR, text), • Contributions to benchmark design, data-centric evaluations, or open-source tooling for dataset experimentation, • Attractive compensation with salary and equity, • Immersion in a team of world-class researchers, engineers and entrepreneurs, • A unique position to shape the future of autonomy and tackle the biggest challenge of our time, • Bespoke learning and development opportunities, • Relocation support with visa sponsorship, • Flexible working hours - we trust you to do your job well, at times that suit you and your time, • Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more! This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. For more information visit _ To learn more about what drives us, visit _ DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

Pega CDH Consultants Inside IR35 Remote in UK Initial 6 month engagement emagine is a high-end professional services consultancy and solutions firm specialising in providing business and technology services to the financial services sector. We power progress, solve challenges, and deliver real results through tailored high-end consulting services and solutions. We have created a culture of openness and integrity by building genuine and strong relationships and partnerships, enabling us to be uncompromising in our dedication to delivering the optimal service for our clients. Our commitment is not just towards our clients — we aim to foster a positive and equitable working environment with our consultants and colleagues, which stems from our core values: Confident, Dedicated, Responsible, Genuine. We are building a best-in-class Next Best Action (NBA) decisioning capability and are hiring experienced professionals to design, scale, and optimise decisioning frameworks across multiple markets. This is an opportunity to work at the intersection of data, AI, and customer engagement, delivering personalised, real-time experiences in a regulated environment. We are hiring for: Lead Decisioning Expert Own and govern the NBA decisioning framework across markets. Key Skills: Pega LDA (mandatory) Deep Pega CDH expertise (NBA Designer, decision strategies) Decision frameworks (eligibility, arbitration, prioritisation) Omni-channel decisioning (real-time & outbound) Decision governance, explainability, regulatory awareness Strong stakeholder management & Agile delivery Lead NBA Data Scientist Design and optimise ML models driving NBA decisioning. Key Skills: Pega CDH adaptive models Strong MLB / RTIM / arbitration logic knowledge Advanced Python & ML development A/B testing, uplift measurement, model governance Feature engineering & real-time vs batch decisioning Git, Agile, cross-functional collaboration NBA Decisioning Specialist Deliver decisioning use cases and personalisation strategies. Key Skills: Pega PCDC (mandatory) Pega CDH / NBA Designer experience Decision logic configuration (eligibility, prioritisation, suppression) Testing, simulation & performance optimisation Strong business-facing communication Nice to have: Adobe AEP, Financial Services, multi-market experience Data Integration & System Engineers Build scalable data pipelines supporting decisioning systems. Key Skills: GCP (BigQuery) & Hadoop/Cloudera (mandatory) Spark, Scala, Python, SQL Data pipelines (batch & near real-time) Data modelling, governance & CI/CD Pega CDH integration experience QA / Test Specialists Ensure quality and performance across data and decision platforms. Key Skills: Hadoop & GCP (mandatory) Test automation (Pytest, Robot Framework) Python, SQL, Bash CI/CD, Docker, Jenkins ISTQB certified Our People The ideal consultants will share our values and be aligned with our ways of working. As your career progresses, you can expect to work across all areas of the project lifecycle, from strategy to implementation. This will provide you with a broad base of experience from which to build an outstanding career. The ideal consultants will share our values and be aligned with our ways of working and as your career progresses, you can expect to work across all areas of the project lifecycle. We pride ourselves on; Providing our people with a supportive culture, rooted in our values and driven by our purpose. Promoting a culture of inclusion, collaboration, well-being, and learning and development. Providing increased agility and flexibility within our hybrid working model Investing in employees’ growth through ongoing training and development Autonomy to take ownership of projects, making decisions and demonstrating individual expertise Providing an transparent performance and career management experience. Our consultants are integral to delivering successful consulting engagements, addressing our clients’ most pressing business challenges, and build lasting value in disciplines such as: Solve sophisticated, ambiguous business, change and technology problems, bringing structure and meticulous analysis and planning, acting, and taking decisions with little strategic direction Build, develop and sustain trusted senior client relationships in the C-suite by remaining highly attuned to client needs Drive, enable and support the business, partnering with our leaders, clients, and consultants across our practices to take the best of emagine to our clients through opportunity identification/qualification, solution development/presentation Interested? At emagine, we are committed to building an international and diverse team by embracing our different backgrounds. If you are up to the challenge and would like to find out more, get in touch with us immediately, our internal recruitment team is always keen to hear from dynamic individuals that are looking to further their career and explore their full potential. “emagine is an equal opportunity employer, and employment practices are based strictly on merit. It is the policy of the Company to give equal opportunity in employment regardless of sex, sexual orientation, marital status, race, age, disability, gender reassignment, pregnancy and maternity, religion or ethnic origin

Founded in 2019 and part of Y Combinator's 2020 cohort, _ is the leading visual solution for e-commerce. We've raised Series B funding and reached 300+ million users worldwide, processing over 5 billion images annually and serving both small businesses and major enterprises like Amazon, DoorDash, and Decathlon through our mobile app, web platform, and API. We're a remote-friendly team of 100+ passionate builders giving e-commerce businesses superpowers to create visuals that help them grow, making the hardest parts of selling online disappear. We focus on craft, innovation, and collaboration, creating exceptional impact for e-commerce businesses worldwide. We're looking for a Senior Product Manager, SMB E-commerce Growth to own activation, monetization, and retention for our SMB e-commerce segment across the Photoroom mobile and web apps. This is a growth role: you'll own the levers that turn sign-ups into retained subscribers, and the growth-led features that move them. From paywalls to pricing experiments and onboarding and discovery flows, you'll partner closely with User Acquisition on the handoff from paid to product, and with the core SMB product team on what gets built next. Location: Remote across Europe with monthly Paris office visits (fully reimbursed) Own a real slice of the growth funnel. Activation, paywall, pricing, or retention: you'll lead a squad and own a specific number end-to-end, deciding what gets tested, what gets built, and what gets killed. Move the metric, not just the backlog. Run a high-velocity experimentation program across web and mobile funnels. Ship A/B tests weekly, and bigger feature bets when the data calls for them. Find the insight, then build the feature. The best growth work is spotting why users drop off and shipping the change that fixes it. You'll do both. Work across web and mobile. Mobile and web funnels behave differently (App Store vs. card-on-file, push vs. email). You'll own both, and partner closely with the User Acquisition team on the handoff from paid to product. Use data to decide, not to justify. Pull and interpret data yourself, form hypotheses, measure what shipped, and call what's next. You won't need to wait around for someone else to run the query. You've moved real numbers on a subscription product. Five to eight years as a PM, with concrete activation, monetization, or retention wins you can name with the KPI, the change, and the percentage impact, owned by you, not by a team you sat on. You've worked on something with recurring revenue. Whether B2B SaaS, B2C subscription, or B2B2C, as long as your work was tied directly to revenue your experience will give you a leg up. Pure marketplace or pure free-product backgrounds will struggle here. You know how SMB sellers buy. You understand how SMB e-commerce sellers discover, evaluate, and adopt utility SaaS, the kind of motion behind Shopify, Canva, Klaviyo, Stripe, Klarna, Gorgias, Recharge, Loop, Wix, or Squarespace. You think in funnels. You understand activation curves, paywall psychology, trial design, and the difference between credit-based, feature-gated, and seat-based pricing, and you have opinions on which works where. You build with AI. You use Claude or equivalent to automate recurring tasks, and can explain how you set it up to help you ship faster. You're data-fluent. Comfortable with SQL and an analytics platform like Amplitude or Mixpanel; you build and interpret your own funnel without waiting for a data scientist, and you've shipped a high volume of A/B tests personally in the last 12 months. You thrive in small teams with high autonomy. You can ship without being managed, and can operate in a fully remote, async-first environment that offers no scaffolding around you. Nice to have: experience on both web and mobile funnels; familiarity with the Shopify ecosystem (app store, connect flows, merchant personas) or a comparable e-commerce platform; entrepreneurial experience (you've started, built, or run something). If you think you have what it takes but don't meet every single point above, please still apply. We'd love to chat and see if you could be a great fit. We're committed to enabling everyone to feel included and valued at work. We believe our company and culture are strongest when composed of diverse experiences and backgrounds. That's also why we have flexible working hours, trust people to work remotely, and extended parental leave. All qualified applicants receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws.

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

Fermentation Scientist Oxford | Onsite I £40K - £50k (dependant on experience) Join an innovative organisation at the forefront of industrial biotechnology, where you'll play a key role in developing and optimising microbial fermentation processes that support more sustainable chemical manufacturing. This is an excellent opportunity for an experienced Fermentation Scientist to apply hands-on expertise in bioreactor operation, process optimisation and enzyme production while working alongside a collaborative R&D team on cutting-edge technology. The Role As a Fermentation Scientist, you will be responsible for developing and improving non-GMP microbial fermentation processes for enzyme production. You'll work across laboratory and pilot-scale systems, helping to optimise yields, improve process robustness and support the scale-up of innovative biocatalysts for industrial applications. Key Responsibilities • Develop and optimise microbial fermentation processes for enzyme production., • Operate, monitor and troubleshoot bench- to pilot-scale bioreactors., • Design and carry out fermentation optimisation studies, including media, feeding and induction strategies., • Analyse experimental data and communicate findings with clear technical recommendations., • Collaborate with multidisciplinary R&D teams to support project delivery., • Maintain accurate laboratory records, SOPs and technical documentation., • Support laboratory operations, equipment maintenance and inventory management., • Assist with technology transfer to external manufacturing partners where required. About You We're looking for someone with: • A degree in Biology, Industrial Biotechnology, Biochemical Engineering or a related scientific discipline., • Proven industrial experience in non-GMP microbial fermentation., • Hands-on experience operating and troubleshooting microbial bioreactors., • Knowledge of fermentation optimisation to improve enzyme yield, productivity and process robustness., • Strong analytical and problem-solving skills., • Excellent communication skills and the ability to work collaboratively within a multidisciplinary team., • A proactive approach with strong attention to detail and a passion for scientific innovation. Applications: If you're an experienced fermentation scientist looking to contribute to innovative biotechnology projects with real-world impact, we'd love to hear from you. Apply today with your CV to find out more about this exciting opportunity. Please note that all recruitment for HydRegen Oxford is being managed exclusively by Katie Pink at Cranleigh STEM & Sustainability. If you have any questions regarding this vacancy, please direct them only to Katie at Cranleigh STEM.

We are seeking an accomplished scientific leader to provide strategic and technical leadership across a discovery biology function. This role will combine scientific expertise, people leadership and cross-functional collaboration to ensure biological insight is embedded within research strategy, portfolio decisions and programme delivery. Reporting into senior leadership, this position is suited to an experienced scientist who enjoys guiding teams, driving innovation and translating complex science into practical outcomes. What you'll be doing: • Providing senior scientific leadership across biological research programmes and discovery platforms., • Shaping and delivering biology strategy aligned to organisational goals and portfolio priorities., • Leading, mentoring and developing scientific teams and acting as a trusted technical expert., • Driving the adoption of new scientific methods, technologies and ways of working., • Supporting the design, execution and interpretation of complex research programmes., • Overseeing scientific quality, data integrity, reproducibility and laboratory best practices., • Working closely with cross-functional stakeholders to support programme progression and decision-making., • Contributing to governance forums and strategic discussions relating to research priorities and candidate progression., • Building productive relationships with external collaborators, research partners and service providers., • Supporting scientific communications, technical reports, presentations and strategic materials, • Championing a culture of collaboration, innovation, continuous improvement and evidence-based decision making., • Ensuring compliance with health and safety requirements, scientific standards and organisational policies. What experience you will need to apply: • PhD in Biological Sciences, Plant Biology, Molecular Biology, Biochemistry or a related scientific discipline., • Experience in agricultural biotechnology, crop protection, plant science, weed science or related fields., • Significant experience leading and influencing multidisciplinary scientific teams within a research and development environment., • Proven track record of delivering high-quality scientific programmes, projects or research outputs., • Experience developing scientific capabilities, platforms, processes or operational improvements., • Strong understanding of commercial research and development environments and external collaborations., • Experience mentoring scientists and providing scientific leadership beyond direct line-management responsibilities., • Ability to solve complex scientific challenges and guide teams through ambiguous research questions., • Experience presenting scientific findings to both technical and non-technical audiences., • Strong stakeholder management and cross-functional collaboration skills., • Excellent written and verbal communication skills. Desirable experience: • Experience working with contract research organisations, academic institutions or industry partners., • Knowledge of target identification, mode-of-action research, screening technologies or discovery biology platforms., • Familiarity with bioinformatics, data science or computational biology approaches., • Experience supporting intellectual property activities, publications or external scientific communications., • Understanding of how AI-enabled tools can support scientific research and analysis. What you'll get in return for your experience: This role offers the opportunity to influence scientific strategy and contribute to the development of innovative research programmes within a collaborative and growing organisation. You will work alongside highly skilled scientific and operational teams in an environment that encourages creativity, knowledge sharing and continuous improvement. • Senior scientific leadership position with significant organisational impact, • Opportunity to shape future research direction and capability development, • Collaborative, science-driven culture, • Professional development and career growth opportunities, • Competitive salary and benefits package What's next? If you enjoy solving complex scientific problems, leading talented teams and driving innovation within a fast-paced research environment, we'd love to hear from you.

Are you an experienced Automation Scientist looking to take ownership of cutting-edge laboratory automation in a fast-paced and collaborative environment? We're looking for a hands-on scientist with proven laboratory automation expertise to join our Lab Automation team in Oxford. This is an exciting opportunity to play a key role in maintaining and developing automated workflows, supporting cell-based assay automation, and ensuring the reliable operation of our Hamilton STAR platform within the automation suite. About the Role As an Automation Scientist, you'll be responsible for the day-to-day operation, maintenance and continuous improvement of our automation suite. You'll apply your practical automation experience to develop, validate, troubleshoot and optimise automated laboratory workflows while supporting cell culture activities and ensuring high standards of laboratory operation. This role would suit an established automation professional who already has extensive experience working with liquid handling systems and automated laboratory processes and is comfortable taking ownership of workflows from implementation through to routine operation. What You'll Be Doing • Automation & Workflow Development, • Develop, validate, optimise and troubleshoot automated workflows on Hamilton STAR liquid handling platforms, • Translate manual laboratory protocols into robust, scalable and reproducible automated methods, • Support method implementation, testing and continuous improvement activities, • Apply approved workflow updates and method enhancements, • Automation Suite Operations, • Maintain the automation suite in a clean, organised and operational state, • Carry out routine deck strip-downs, cleaning, equipment maintenance and room readiness checks, • Provide first-line support to automation users and operators, • Calibration & Verification: Perform liquid-class calibration activities and maintain accurate calibration records. Conduct liquid verification assays and support performance assessments of automated methods. Review and interpret calibration and verification data to ensure consistent system performance., • Cell Culture & Laboratory Support: Establish and maintain development cell seed trains for automation development activities. Undertake routine cell culture activities to support workflow validation and development. Apply strong aseptic technique and best laboratory practices., • Stock Management & Compliance: Monitor and manage laboratory consumables and reagent inventory. Maintain accurate, traceable documentation in line with company procedures. Ensure compliance with SOPs, health and safety requirements and data integrity standards. What We're Looking For Essential • PhD or equivalent years experience in a relevant scientific discipline, or equivalent laboratory automation experience, • Proven experience working as an Automation Scientist or similar laboratory automation role, • Hands-on experience operating, maintaining and troubleshooting liquid handling automation platforms, ideally Hamilton STAR, • Experience developing and implementing automated laboratory workflows from manual methods, • Strong practical laboratory skills, including accurate pipetting and sample handling, • Experience with aseptic technique and cell culture or cell handling workflows, • Good data handling and record-keeping skills, including Excel proficiency, • Strong problem-solving skills with the ability to troubleshoot and escalate issues appropriately, • Experience working to SOPs and maintaining high-quality laboratory documentation Desirable • Advanced Hamilton STAR programming experience, • Experience with liquid-class calibration, assay validation or method verification, • Familiarity with LIMS, ELNs or digital laboratory data management systems, • Experience supporting operators or collaborating across multidisciplinary teams, • Experience working within regulated or quality-focused laboratory environments What Success Looks Like In your first six months, you'll become fully embedded within the environment and independently support: • Routine Hamilton STAR operations, • Liquid-class calibration and verification activities, • Workflow troubleshooting and method implementation, • Cell culture activities supporting automation development, • Day-to-day ownership of suite readiness and operator support Longer term, you'll become a key contributor to the reliable operation and continuous improvement of our laboratory automation capabilities. Why Join Us? This is an opportunity to take ownership of a highly visible automation platform, work alongside experienced automation specialists, and directly influence the development of robust automated scientific workflows that support cutting-edge research and development. Ready to apply? We'd love to hear from experienced automation professionals who are passionate about laboratory automation, operational excellence and continuous improvement. And just to confirm, here at Ivy Farm, we're an employer that believes in creating a workplace where everyone feels included and valued, no matter who they are. Total Package: (Full-time, on-site role) At Ivy Farm, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role. You will also be eligible for: • 25 days annual leave + bank holidays, • Company pension contribution 5%, • Private health care from day one, • Shares, • Company Bonus, eligible from day one, • Oodles of amazing fresh ground coffee, tea and snacks, • Company events, • Fabulous super cool office environment, we’re biased, but let’s face it... it’s cool (no agencies, thank you)

Histology Senior Scientist – Histology & Tissue Analysis Oxford | 12-Month Fixed-Term Contract Are you an experienced Histology Senior Scientist looking to play a key role within a cutting-edge Immunotherapy research environment? A highly innovative biotechnology company developing next-generation cancer therapies is seeking a specialist scientist to join its research team on a 12-month fixed-term contract. This is a fantastic opportunity to join a collaborative scientific environment where your expertise in tissue analysis and histology will directly contribute to the advancement of novel oncology programmes. The Opportunity Working within a multidisciplinary research team, you will support discovery and preclinical research projects by generating high-quality data from human tissue samples using a range of tissue-based and molecular techniques. This position is particularly suited to a scientist who enjoys being hands-on in the laboratory and has significant experience analysing tissue samples and interpreting microscopy-based data. Key Responsibilities • Perform and optimise tissue-based assays including:, • Immunohistochemistry (IHC), • Immunofluorescence (IF), • In Situ Hybridisation (ISH), • Work extensively with human tissue samples including FFPE and fresh frozen material., • Conduct microscopy and image analysis to support programme decision-making., • Generate, interpret and communicate high-quality scientific data., • Support target validation and biomarker research activities., • Collaborate closely with research scientists across multiple projects., • Contribute to assay troubleshooting, method development and continuous improvement initiatives. Essential skillset • PhD in a Life Sciences discipline (or equivalent industry experience)., • Strong hands-on expertise in histology and tissue-based assays., • Experience working with human tissue samples., • Expertise in Immunohistochemistry (IHC), Immunofluorescence (IF) and/or In Situ Hybridisation (ISH)., • Experience using microscopy and image analysis software., • Strong scientific data interpretation and communication skills., • Ability to work effectively both independently and as part of a collaborative team. Highly Desirable • Oncology, translational research or drug discovery experience., • Biomarker or target validation experience., • Previous biotechnology or pharmaceutical industry experience. Why Apply? • Join an innovative cancer research organisation at an exciting stage of growth., • Friendly, collaborative and supportive scientific team., • Structured onboarding, • Exposure to cutting-edge oncology research programmes., • Competitive bonus scheme., • Private medical insurance., • Enhanced pension contribution., • Income protection benefits.

Scientist I – Media Development Location: Oxford Salary: £Competitive Ivy Farm Technologies is at the forefront of cultivated meat innovation, developing pioneering technologies that are helping shape the future of sustainable food production. As we continue to grow, we're looking for a Scientist I – Media Development to join our R&D team and play a key role in developing serum-free and chemically defined cell culture media that supports scalable cultivated meat production. Working within a collaborative, multidisciplinary environment, you'll contribute to the design, optimisation and scale-up of cell culture media, generating high-quality scientific data that drives innovation across the business. The Role As Scientist I, you'll plan and execute laboratory experiments with increasing independence, supporting the development of next-generation cell culture media. You'll work closely with colleagues across Process Development, Scale Up, Manufacturing and Analytics to improve cell growth, viability, robustness, scalability and cost efficiency. Key Responsibilities • Design and execute cell culture and media development experiments., • Develop and optimise serum-free and chemically defined media formulations., • Perform media component screening, dose-response, omission and interaction studies., • Evaluate cell growth and media performance using multi-well plates, shake flasks and small-scale bioreactors., • Collect, analyse and interpret experimental data, including cell counts, viability, morphology, pH, osmolality and metabolite analysis., • Present findings and make evidence-based recommendations for future work., • Maintain accurate electronic laboratory notebooks and ensure data integrity., • Troubleshoot experimental challenges using structured root-cause analysis., • Coordinate analytical sample submissions and maintain traceability., • Contribute to project reviews, technical presentations and continuous improvement initiatives., • Support training, knowledge sharing and maintenance of laboratory standards while following health, safety, quality and confidentiality requirements. About You We're looking for a motivated scientist who enjoys solving complex biological challenges and thrives in a collaborative research environment. You'll ideally have: • A PhD in Life Sciences, Biotechnology or a related discipline., • Proven postdoctoral experience in cell biology or process development, within industry or an academic-industry collaboration., • Strong hands-on experience with mammalian cell culture and aseptic laboratory techniques., • Experience preparing cell culture media, buffers, stock solutions and reagents., • Knowledge of experimental design, data analysis and biological data interpretation., • Experience using electronic laboratory notebooks (ELN), LIMS and controlled documentation., • Excellent planning, communication and problem-solving skills. Desirable Experience • Stem cell, primary cell, suspension or 3D mammalian cell culture., • Small-scale bioreactor operation., • Automated high-throughput screening platforms., • Design of Experiments (DoE) software., • Familiarity with HPLC, LC-MS or metabolite analysis workflows. What Ivy Farm Technologies Offers • The opportunity to contribute to groundbreaking cultivated meat technology., • A collaborative and innovative scientific environment., • The chance to work alongside talented multidisciplinary teams tackling real-world challenges., • Ongoing opportunities for technical and professional development., • Competitive salary and benefits package. If you're passionate about advancing cell culture technologies and want to make a meaningful impact in one of the world's most exciting biotechnology sectors, we'd love to hear from you. Apply today to join Ivy Farm Technologies and help shape the future of sustainable food production.

Fraud Data Analyst (Contract) Hybrid (UK) | Oxford 1 day per week | 6-Month Contract £27.50–£30.00 per hour | 37.5 hours per week We're looking for a hands-on Fraud Data Analyst to join a fast-moving Trust & Safety team. You'll use SQL to investigate fraud, chargebacks, payments, compliance, and operational trends across large, complex datasets, often containing millions of records. What You'll Do • Analyse large-scale transaction and payment data to identify fraud trends and root causes, • Combine multiple data sources to uncover actionable insights, • Develop recommendations, fraud controls, alerts, and operational improvements, • Support fraud and chargeback investigations, • Produce operational and performance reporting, • Identify opportunities for automation and process improvement, • Present complex findings clearly to technical and non-technical stakeholders What You'll Bring • Strong hands-on SQL skills and experience working with large datasets, • Proven ability to investigate issues, identify root causes, and drive business action, • Excellent data storytelling and stakeholder communication skills, • Curious, proactive mindset with an interest in automation and AI-assisted analysis Nice to Have • Fraud, payments, e-commerce, FinTech, risk, compliance, or Trust & Safety experience, • BigQuery, Tableau, Looker, Python, SPSS, Jira, • Experience with AI tools such as Claude, Gemini, or Cursor, • Workflow automation tools such as n8n This role would suit a Data Analyst, Data Analyst, Insight Analyst, Fraud Analyst, Risk Analyst, Compliance Analyst, or Data Scientist with around 3–5 years' experience.

Are you looking to kick-start a new career as a Data Scientist?We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. Step 1 - Full Data Science Career Training. You will begin your data science journey by studying a selection o

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. #LI-PRIO As a Lead Data Scientist, you'll take on a pivotal, entrepreneurial role, functioning as the technical expert who thrives on complexity and commercial impact. You will be responsible for setting the technical direction and ensuring the high-quality, scalable delivery of our most challenging, high-impact projects. This position combines deep expertise in machine learning with strategic oversight to define project roadmaps, manage technical risk, and architect reliable solutions. Your focus will be on driving innovation, mentoring cross-functional teams, and actively shaping both our technical standards and long-term customer relationships. Setting the technical direction for complex, business-critical projects and expertly balancing trade-offs between speed, innovation, and reliability. Designing and implementing reliable, production-grade technical solutions, ensuring comprehensive documentation of architectures and specifications. Defining project problems, developing clear roadmaps, and overseeing end-to-end delivery across multi-disciplinary workstreams. Leading technical scoping and feasibility studies for high-value sales opportunities and strategic customer engagements. Managing relationships and communications with demanding clients, fostering trust and aligning technical solutions with shared long-term commercial goals. Driving the adoption of best practices, shared resources, and robust technical processes across the wider Data Science craft. Mentoring and developing other data scientists and team members, actively contributing to the growth and technical excellence of the organisation. You bring depth of expertise in at least one machine learning domain and strong technical breadth across the entire data science landscape. You are a skilled technical leader, proficient in mentoring individuals, managing teams (including other managers), and rolling out impactful tools and workflows. You have proven project management expertise, capable of dividing complex, ill-defined problems into actionable, clearly defined workstreams with timelines you can defend. You are adept at managing ill-defined, high-risk tasks, consistently delivering innovative and practical outcomes under commercial pressure. You possess strong customer leadership skills, able to act as a trusted technical advisor and drive long-term strategic relationships with demanding clients. You excel at cross-functional collaboration, effectively aligning technical strategy with Engineering, Commercial (BD), and Infrastructure teams. You have experience extending technical oversight to business unit-level initiatives, using your vision to influence and contribute to organisational success. Talent Team Screen (30 minutes) Introduction to the team (30 minutes) Take Home Technical Assessment Technical Interview (90 minutes) Commercial 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.

Kalibrate exists to deliver the right insight, at the right time, to give organizations answers to their most challenging questions. We’re partners in growth. We serve decision makers across location and fuel pricing in markets all over the world — from high growth emerging concepts to the most established international operators. Our platforms and analytics solutions directly empower decision-making and provide clear financial value. These decisions help grow economies, create jobs, and improve the communities where we live, work, and play. Role Reporting to the Director of Data Science Research, the Data Scientist is a highly skilled individual contributor responsible for designing, developing, and deploying advanced data science solutions across Kalibrate's product portfolio. This role focuses in particular on our pricing product suite, applying leading statistical, machine learning, and AI techniques to deliver innovative solutions for fuel pricing while contributing to the technical excellence of the Data Science Research team. Key responsibilities include: Data Science Solution Development & Delivery o Apply statistical and econometric modeling, time series analysis, optimization methods, and generative AI to develop improved approaches to demand modeling, elasticity estimation, price recommendation, competition analytics, and related challenges. o Develop reusable tools, frameworks, and components to support and accelerate delivery of value from data science. o Deploy scalable and maintainable solutions to cloud environments, leveraging version control practices and robust code quality and documentation standards. o Work independently and as part of the Data Science Research team, contributing to research prioritisation and technical direction in collaboration with the Director and Product leadership. Technical Excellence & Mentorship o Demonstrate technical excellence by delivering high-quality, innovative solutions and championing best practices to ensure research outputs are reproducible, scalable, and maintainable. o Contribute to evaluation and adoption of appropriate tools, programming languages, and technologies. o Mentor junior team members, sharing knowledge and supporting their professional development. o Identify and contribute to patent opportunities and the company's intellectual property portfolio. Collaboration & Communication o Collaborate across Development, Product, Analytics, and Commercial teams to ensure solutions address business challenges and stakeholder objectives. o Partner with operational teams to ensure data pipelines and infrastructure are robust, secure, and optimized for research and production workloads. o Communicate technical concepts and outcomes effectively to both technical and non-technical audiences. Innovation & Continuous Learning o Stay current with developments in data science, machine learning, and AI, applying state-of-the-art techniques to project work. o Develop comprehensive knowledge of the retail fuel industry to understand domain challenges and help guide product innovation. o Share knowledge and promote best practices across the team and company. Profile Qualifications & Profile o Ph.D. or master's degree in a quantitative discipline. o Demonstrated track record of designing, developing, and deploying data science and machine learning solutions in commercial environments. o Expertise in statistical or econometric modeling and optimization techniques. o Proven ability to independently manage complex projects under tight deadlines while maintaining high standards of quality and reliability. o Strong written and verbal communication skills for both technical and non-technical audiences. o Cross-functional team collaboration experience with product, engineering, and business stakeholders. o Experience in pricing data science is desirable, particularly within the fuel or retail sectors. Technical Skills & Experience o Advanced proficiency in Python and/or R for data science development. o Proficiency in SQL for data extraction, transformation, and analysis. o Experience with version control (Git) and modern software engineering practices including code review and collaborative development. o Familiarity with using generative AI tools such as Github Copilot to support development and enhance productivity. o Knowledge of solution deployment with cloud platforms (preferably Azure), including containerization (Docker) and CI/CD pipelines is desirable. Location & Travel This a remote role within the UK. Travel to our offices in Manchester city centre, or client and partner locations, may be required for meetings and events. The Data Science Research team operates across multiple time zones globally, so working hours may occasionally need to flex to accommodate necessary collaboration with international colleagues. Your application has been successfully submitted! _ We appreciate your interest in this position. Unfortunately, you have already applied for this job.

Our Mission Summary Ocean Science Consulting Limited (OSC) is modelled on Woods Hole Oceanographic Institution (WHOI), which undertakes commercial and military contracts to fund scientific Research and Development (R&D). OSC’s founding Director was formerly a scientist at WHOI, hence this approach and pursuit of her core research interests. translating past and current R&D outputs into future goals, we aim to influence OsloPARis Convention (OSPAR) decommissioning legislation, by potentially repurposing offshore anthropogenic infrastructure via Nature-in-Design (NID) techniques into artifcial reefs, readdress methods to collect/analyse survey data more effectively and reduce carbon emissions (e.g. fewer people, vessels, and planes, etc.), promote long-term monitoring campaigns that focus on project lifecycles and not merely construction windows, by introducing high-tech low-power hardware and novel processing, which will progress the blue economy. Ocean Science Consulting Limited aims to influence decommissioning legislation and promote the blue economy through innovative research and development, focusing on marine mammal detection, artificial reefs, and reducing carbon emissions.Position title: Internal accountant Type: Full-time, permanent position Salary: Competitive depending on qualifications and experience Holiday: 32 days + birthday, incl. public holidays, increasing with service Benefits: Health insurance Location: Dunbar, East Lothian, Scotland, UK (potential for remote/flexible working) Start date: ASAP About OSC Ocean Science Consulting Limited (OSC) is a technology-focused marine science company involved principally in providing environmental services worldwide. OSC specialises in and monitoring, and , Remotely Operated Vehicle , and . OSC has a track record for providing environmental monitoring (mitigation for regulatory compliance) and (field studies and experiments) for a large and range of _. Role OSC is seeking an internal accountant to become a member of the team. The internal accountant will have previous experience working in a finance role, including knowledge of UK VAT. Our ideal candidate will have a proactive, hands-on mindset with the ability to self-review their work. Responsibilities: • Take responsibility for all in-house finance matters;, • Ability to work efficiently in a management accountant role across a wide range of projects, completing analysis as and when required by management;, • Using Xero software (and the associated Hubdocs App to upload receipts) to complete day-to-day bookkeeping, which includes OSC’s storage business (containers and vehicles) within a compound adjacent to our offices, and rental property;, • Using Rentila and managing customer contracts and payments for the storage business;, • Managing debtor and creditor ledgers and completing bank reconciliations;, • Preparation and filing of quarterly VAT returns;, • Completing monthly / quarterly management accounts;, • Preparation of records for R&D tax credits in contact with an external contractor, who provides software and training;, • Filing and naming according to company policy using SharePoint, with training provided;, • Enforcing company-wide adherence to financial policies, including the requirement for all staff to submit VAT receipts where applicable and upload these via Hubdocs;, • Implementing and maintaining ISO procedures with finances;, • Directors’ personal accounting/book-keeping/income tax and VAT returns; and,, • Payroll and associated records of working days and holiday. Required: • Legally permitted to work in UK prior to employment;, • Degree in a relevant discipline (e.g. accounting or finance) or previous experience working within a finance role;, • Previous experience preparing and filing VAT returns;, • Excellent written and verbal communication skills;, • Strong skills across Microsoft software (excel, word, outlook, teams);, • Able to work on own initiative and prioritise effectively, achieving results against deadlines;, • Genuine interest about the business, and the industry; and,, • Commercially aware, discreet, and able to handle sensitive information. Desirable: • Experience using Xero accounting software (training can be provided);, • Part qualified, qualified or qualified by experience., • Experience with foreign currencies and transactions OSC is an Equal Opportunities Employer. The company offers benefits such as health insurance, remote working, and opportunities for career progression. Please submit your CV and cover letter through OSC’s careers portal _. There will be a written test as part of the interview process. Kind Regards, OSC Recruitment Team.

1inch is the DeFi ecosystem building financial freedom for everyone. 1inch products help users and builders trade, hold and track digital assets - with the self-custody, comprehensive security and the intuitive user experience they need to unlock the potential of true crypto ownership. 1inch protocols and APIs provide core infrastructure across the DeFi industry and beyond. So if you’re someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team. Location: We prioritise candidates who are based in Dubai then consider those working remotely in one of our European Hub Locations (UK, Spain or Germany). We are seeking a talented Data Scientist with focus on product analytics to join our Data & Analytics team and drive data-driven decision making across our organisation. In this role, you will analyse complex datasets, conduct research, and provide valuable insights to support product strategy and business growth. You must have Data Science experience. • Analyse and interpret large-scale on-chain and off-chain datasets to inform business decisions, • Design and maintain data collection processes and event storage systems, • Conduct research to identify patterns, trends, and growth opportunities, • Create intuitive dashboards and data visualisations for internal teams and external partners, • Propose and test hypotheses with empirical evidence, • Monitor and evaluate product metrics and user behaviour patterns, • Present findings and recommendations to stakeholder, • 3+ years of experience in data/product analytics, • BS in Computer Science, Engineering, Statistics, or related field, • Design and maintain data collection processes and event storage systems, • Conduct research to identify patterns, trends, and growth opportunities, • Experience creating intuitive dashboards and data visualisations for internal teams and external partners, • Excellent communication skills with ability to present complex findings to diverse stakeholders, • Proficiency in creating data visualizations and building analytical dashboards (Mixpanel, Metabase), • Intermediate SQL, Python knowledge, • Familiarity with A/B tests and Casual Inference, • Understanding of product analytics and user behaviour analysis, • Crypto/Web3 analytical stack (Dune, Nodes, Flipside), • Low level blockchain data understanding (traces, events), • Experience in uncovering business-driving data insights, • Join a young, creative team in a fast-paced and supportive environment, • We’re open to new ideas — if you’ve got a vision, pitch it and make it happen, • Enjoy competitive pay that matches your skills and experience, • Be part of a company that’s shaping the future of DeFi, • Take time when you need it — we offer unlimited vacation days, • Get fully compensated for your work gear — we’ll set you up for successWe 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 Node4 We are a united force driven by a single ambition; to deliver faster transformation, lower cost, and truly differentiated outcomes - we do this by bringing together our AI Augmented MSP platform, hybrid sovereign cloud solutions, deep Microsoft expertise and the Node4 People We are: Nimble – We focus on what matters most, adapt fast and embrace change Original – We think differently, stay curious and innovate Driven – We are bold, bring energy and own the outcome Engaged – We operate as one, building strong relationships 4 More – We always go further for our people, customers and partners About the role Node4 seeks a skilled Data Platform Consultant with technical expertise, business acumen, and excellent communication skills to deliver innovative data solutions. You’ll understand client needs, design and implement data architectures, and ensure high-quality data services that add business value. Node4 is a growing technology company valuing innovation, client satisfaction, and professional growth. You’ll work on exciting projects, develop skills, and significantly impact client success. We work with diverse businesses, from fast-growing startups to large multinationals across various sectors. In the public sector, we deliver data implementation programmes for Central Government Departments, such as acting as the strategic data partner for the Foreign, Commonwealth and Development Office, and the Ministry of Housing, Communities and Local Government. This experience provides exceptional insight into data-driven decisions in different contexts, supporting strategic decision-making in various settings. Our clients are mainly UK-based. The role is primarily remote, with occasional travel to client sites and our UK offices for team gatherings. We lead our customers on their journey from traditional reporting to discovery and intervention, using business data effectively and surfacing critical information in the right way at the right time, to drive better business outcomes. The successful candidate will be excited by a role in which new challenges are constantly presented for us to solve. The data problems we solve are diverse and evolving, requiring skills to identify, access, explore and query various database platforms, including on-premises SQL databases, IaaS and PaaS SQL, cloud databases, and application APIs. The role demands strong, extensive data engineering skills to extract, transform, and load data from various sources into suitable repositories and models, collaborating with colleagues to solve each new problem. Experience in Microsoft data analytics applications, particularly Microsoft Fabric and Azure Data Services, is needed for data ingestion, transformation, storage, and presentation of impactful data repositories and models. The role mainly focuses on data platform and engineering workloads before visualisation/reporting, blending with our Analytics team to deliver holistic Data and Analytics solutions. Along with these technical skills, excellent verbal and written communication skills are essential. The role involves daily direct communication with clients while designing and implementing data solutions, requiring the ability to build rapport, understand and advise our clients. Key Tasks and Responsibilities Your primary responsibility will be to participate in the scoping, design, documentation and implementation of Data Platform solutions to our clients in a client facing role, and your experience will reflect the necessary consultancy skillsets. Activities you would be expected to conduct include: Conduct workshops with our clients, working closely with your cross-functional colleagues, to understand and capture their solution requirements Producing High-Level Design (HLD) and Low-Level Design (LLD) documentation, to capture client requirements and design the intended solution Implement and configure the designed solutions in accordance with our design and implementation standards, with the support of senior and principal consultants in the practice Provide technical authority in the course of project delivery, working constructively with our clients and project managers Provide pre-sales support to our sales and marketing teams when required, including contributing to bid and tender responses Provide technical assurance/governance to our clients Work as part of a broader technical team delivering large multi technology solutions to our clients, which will include Data and Analytics solutions What will you bring? 5+ years experience with the implementation of data and analytics architectures and data modelling Experience of (and an appreciation of the importance of) writing high quality, detailed technical documentation Demonstrable experience of working with Microsoft Data & AI products, such as Azure Data Services (Synapse, Data Factory, Data Lake, SQL, Analysis Services) Microsoft Fabric, and Power BI Experience of IaaS/on-premises equivalents of the above workloads is valid, such as SSIS, SSAS, SSRS Databricks (desirable) Demonstrable experience of working with query languages within these workloads, such as Transact-SQL to a highly proficient level Data transformation expressions in Data Factory/Synapse (desirable) Power Query M and DAX (desirable) Python; PySpark (desirable) Proven experience in a client facing data consultancy role designing, implementing, and supporting data solutions Ability to lead business and technical discussions Self-driven ambition to deliver excellence in collaboration with your team, with a drive and desire to learn and develop Strong problem-solving nature, with the ability to examine a problem and involve the appropriate people at the appropriate time Must hold or be able to successfully achieve and maintain Non-Police Personnel Vetting (NPPV3) status, and national Security Check (SC) clearance Desirable Skills Hold or be capable of obtaining role-relevant Microsoft certifications such as Fabric Analytics Engineer Associate Azure Data Engineer Associate Power BI Data Analyst Associate Azure Data Scientist Associate Experience with using Python for appropriate data engineering workloads Experience with configuring and implementing Microsoft Purview as part of a data platform solution Experience with delivering data solutions through Databricks, and configuring and implementing the Unity Catalogue Knowledge/experience of Dynamics Business Central/NAV, Finance and SCM, and other Microsoft Business Applications database structures What can we offer you? Hybrid Working Private Medical Insurance or Company Paid Health Cash Plan Employee Assistance Program 25 days holidays plus your birthday off Option to purchase additional holiday (up to 5 days) Company Pension Scheme Life Assurance x 4 A diverse workforce Employee investment with Node4 training Academy Family savings and shopping discounts through the Node4 benefits portal. Discounted Gym Membership Modern facilities with open and welcoming breakout areas Company Social events Never ending supply of hot and cold drinks, biscuits, sweets, and fruit Why join Node4? Founded in 2004, Node4 has experienced exceptional growth and success over the years. From an office in Derby to locations nationwide and beyond. From three people to a workforce of over 900. We believe that our people are the driving force behind our success. We are a vibrant, passionate, and diverse team committed to providing exceptional service as standard. Node4 is the place to be if you are passionate about technology and providing exceptional service while developing your career within a welcoming and evolving company. TAKE A LOOK AT _

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At _, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Data Science AI Trainer, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare)., • Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn)., • Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)., • Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction., • Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility., • Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency., • Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations)., • Incorporate big data processing scenarios requiring scalable computational approaches., • Verify solutions using Python with standard data science libraries and statistical methods., • Document problem statements clearly with realistic business contexts and provide verified correct answers. Compensation On this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. • You hold a Master’s or PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field., • You have at least 5 years of hands-on data science experience with proven business impact., • You have portfolio of completed projects and publications showcasing real-world problem-solving., • You are proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)., • You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications., • You are proficient in SQL and database operations for data manipulation and analysis., • You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)., • You have good understanding of MLOps practices and model deployment workflows., • You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)., • Your level of English is advanced (C1) or above., • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines., • Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments., • Work on advanced AI projects and gain valuable experience that enhances your portfolio., • Influence how future AI models understand and communicate in your field of expertise.

RISK DATA SCIENTIST (ESG & Supply Chain) £70,000 + BENEFITS PRIMARILY REMOTE Make a real-world impact in an industry that needs smarter, more sustainable solutions. This role would suit someone who enjoys end-to-end ownership, communicating with non-technical stakeholders, and building models from scratch using Python and SQL. THE COMPANY: I'm working with construction tech company that's making a real impact in ESG, supply chain risk, and sustainability. This is a hands-on, high-impact role where you'd work closely with a small, collaborative product team-shaping how financial, ESG, and supply chain data is turned into actionable insights. THE ROLE: This client are hiring a Risk Data Scientist to take full ownership of modelling efforts across their core risk platform. A Data Scientist (Risk) will need to: • Take end-to-end ownership of risk modelling across financial, ESG, and supply chain data, • Design and implement models from scratch using Python and SQL, • Collaborate closely with the cross-functional product team, • Contribute to GenAI-powered reporting tools YOUR SKILLS AND EXPERIENCE: A successful Data Scientist will have the following skills and experience: • Solid experience in risk modelling, • Strong Python and SQL skills, • A solid foundation in Statistics and ML., • Experience with end to end product ownership THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are some fantastic extra benefits. HOW TO APPLY Please register your interest by sending your CV to Molly Bird via the apply link on this page.

Coach – Applied AI Engineering (Level 6) | Machine Learning Remote | National travel required Corndel is a multi award‑winning UK training provider delivering high‑quality management and technology programmes with leading organisations. We’re growing fast and are passionate about transformational learning that empowers people to be their professional best. The Role We’re looking for an Applied AI Engineering Coach (Level 6) to support apprentices on our AI Engineer / Machine Learning apprenticeship programme. This role suits an experienced AI Engineer, Machine Learning Engineer, or Data Scientist who enjoys coaching others and enabling the responsible application of AI in real business environments. You’ll combine strong technical expertise with a coaching mindset—helping learners apply AI confidently, ethically, and effectively at work. What You’ll Do Coach and mentor a caseload of Level 6 AI Engineering apprentices Deliver engaging 1:1 coaching, workshops, and group learning Support learners across the full machine learning lifecycle, from problem scoping to deployment and monitoring Guide learners through End Point Assessment (EPA) and portfolio development Promote responsible AI, ethics, security, and governance Collaborate with employers and internal teams to ensure high‑quality learner outcomes What You’ll Bring Applied experience in machine learning, AI engineering, or data science Hands‑on experience with production ML systems Strong Python skills and experience with tools such as: scikit‑learn, PyTorch, TensorFlow Pandas, NumPy Hugging Face / generative AI tooling Understanding of MLOps, cloud platforms (AWS, Azure, GCP), and SQL A passion for coaching, mentoring, and developing others Why Join Corndel? Remote, flexible, and supportive working environment Opportunity to shape AI and ML capability across the UK Inclusive, values‑driven culture focused on quality and impact Apply now if you want to use your AI and machine learning expertise to make a meaningful impact through education. As part of our commitment to create an inclusive workplace where all colleagues can be their true selves, excel in their roles and progress in their careers, we recognise the importance of embracing the diversity in the working population and making Corndel a fully accessible employer. As Corndel is a Disability Confident Employer, we make sure that a fair and proportionate number of disabled applicants who meet the minimum criteria for a job will be offered an interview. If you would like to be considered under this scheme, when submitting your application, please select the appropriate option to let us know that you have a disability. Please note this does not mean that all disabled people are entitled to an interview, in some recruitment situations such as peak times, we might need to limit the overall numbers of interviews we offer. If you have a disability that might affect any stage of the recruitment process, please let us know about any help or reasonable adjustments you need before any interview or assessment. We’ll work with you to make sure any appropriate support is in place and make the application process a more positive experience. Corndel is committed to safeguarding and safer recruitment practices, and will undertake pre-employment checks on the successful candidate, including DBS Disclosure. For more information contact _

Description Onera Health is a leader in transforming sleep medicine and remote monitoring. Our breakthrough diagnostic solutions and services are poised to help millions of people struggling with sleep-related ailments, while also impacting other medical fields by monitoring a variety of chronic conditions, ultimately improving the health and quality of life for patients around the world. The company’s innovative solutions provide comprehensive sleep test data to physicians in a variety of clinical and non-clinical environments to optimise patient care and reduce healthcare costs. Onera’s FDA-cleared and CE-marked home polysomnography (hPSG) platform delivers lab-quality diagnostics in the home through a fully integrated “PSG-as-a-Service” model. The UK is a priority market in Onera’s European expansion. In the UK, Onera goes to market through a clinical service provider partner rather than selling direct. The partner brings established NHS relationships and a top-down route into hospitals at executive level; Onera’s Clinical Sales Specialist works alongside them in the field — managing that partnership day to day and building demand from the bottom up at the clinical and departmental level, where sleep diagnostics credibility matters most. This is deliberately not a traditional, quota-closing field sales role. The close is driven through the partner’s executive-level motion. Your job is to create clinical pull — winning the confidence of sleep and respiratory teams, demonstrating the platform, and enabling the partner’s commercial engine — so that demand and adoption build underneath it. Success depends on clinical fluency and partner enablement far more than on personal deal-closing. Key Responsibilities Partner & Channel Management • Manage the relationship with Onera’s UK clinical service provider partner in the field, acting as the day-to-day point of contact and ensuring alignment between the partner’s commercial activity and Onera’s clinical priorities., • Enable and support the partner’s teams — equipping their representatives to position Onera accurately, and complementing their top-down, executive-level route into hospitals with clinical depth from the field., • Coordinate joint account planning with the partner, identifying target hospitals and sleep services and aligning on how each opportunity is progressed. Bottom-Up Clinical Demand Creation • Build demand from the clinical level up — winning the confidence of sleep physicians, respiratory teams, neurophysiology units, and sleep-laboratory staff so that clinical pull supports the partner’s top-down approach., • Engage credibly at peer level with consultants on sleep disorders — obstructive sleep apnoea, central sleep apnoea, narcolepsy, RLS/PLMD, and parasomnias — and on the wider diagnostic pathway (respiratory polygraphy, HSAT, CPAP titration, actigraphy, MSLT/MWT)., • Demonstrate and train clinical staff on the Onera platform unaided, drawing on hands-on familiarity with full diagnostic polysomnography — multi-channel attended studies including EEG, EOG, EMG, ECG, airflow, respiratory effort, SpO₂, and body position — and an understanding of manual sleep staging and event scoring to AASM guidelines, not just auto-scoring., • Build visibility with UK sleep-medicine KOLs and engage with national bodies such as the British Sleep Society and the ARTP. Territory Coverage & Field Execution • Cover the United Kingdom as Onera’s sole field-based representative, prioritising across regions, qualifying hard, and concentrating effort where clinical adoption can build rather than spreading too thin., • Maintain disciplined CRM hygiene and pipeline visibility, self-managing a national field role and giving Onera and the partner a clear, current picture of clinical engagement and opportunity., • Act as the clinical and commercial point of contact in the field, troubleshooting product-related questions and escalating to the appropriate internal stakeholders where needed. Market Intelligence & Collaboration • Track market trends, competitor activity, and customer feedback to inform product positioning and the UK partner strategy., • Collaborate with cross-functional teams across marketing, product, customer success, and clinical to align field activity with the wider commercial plan. Requirements • Clinical sleep background. Formal clinical background in sleep or respiratory diagnostics — e.g. registered sleep/respiratory physiologist, clinical scientist (Healthcare Science), or RPSGT — with the ability to demonstrate and train clinical staff unaided. Strongly preferred; exceptional candidates with deep, hands-on sleep/respiratory diagnostic exposure and genuine peer-level clinical credibility will also be considered., • Clinical credibility in the field. Able to hold peer-level conversations with consultants and clinical teams and to build confidence and adoption at the departmental level., • Commercial or clinical-specialist experience. A track record in a clinical sales specialist, clinical application, or field clinical role in medical devices or diagnostics — or a clinical background combined with clear commercial instinct., • Self-managing field discipline. Comfortable self-managing a national field role with sound CRM and pipeline discipline., • National coverage & travel. Willingness to travel extensively across the UK, with the autonomy to prioritise across regions., • Fluent English and excellent communication and interpersonal skills, with the ability to build trust-based relationships with clinical stakeholders and partner teams. Benefits • Remote / hybrid working model, with the technical equipment to set up your home office, • A competitive compensation package, • An open, collaborative company culture grounded in shared mission and team engagement, • The opportunity to join a scale-up at a defining commercial moment in sleep diagnostics

About TetraScience TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review “_,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you. What You Will Do TetraScience is looking for a Technical Enablement Lead / Developer Relations Lead for the EU. The ideal candidate should have expertise in customer and field enablement, adult learning principles, educational program creation, use case architecture and implementation, and a genuine passion for Data and AI technologies. The candidate should be driven by a desire to educate and inspire, and have the technical skills to quickly prototype new ideas and solutions. And finally, the candidate should seek to ensure developers can be successful with minimal friction, and champion product and process changes that make this a reality. You will work to understand the needs of different user personas (data scientists, machine learning engineers, scientists and R&D IT analysts), analyze their data environment, assist in the design and implementation of self-service solutions, and create training artifacts to accelerate adoption and growth. This is a technical enablement role, interfacing between internal and external stakeholders including; sales teams, technical teams, customers and potential customers. Your expertise not only covers the technical aspects of data integration, storage, access and architectures but also includes the skills to convey complex technical concepts in a way that aligns with business needs and potential solutions. Your work will directly impact how developers adopt TetraScience’s Scientific Data & AI Cloud, leverage new platform capabilities, and innovate in our ecosystem. You’ll collaborate closely with Product, Platform Engineering, Field Engineering, Customer Engagement & Support, Sales, and Marketing teams to empower customers, technical field team members, and all customer-facing technical roles through exceptional enablement programs. You’ll set the strategy for EU developer experience and community, including partners, customers, and independent developers; and be responsible for how developers discover, onboard, build, and scale applications. This role will be pivotal in growing our developer ecosystem, gathering crucial feedback to inform product development. Your work will educate and inspire the biopharmaceutical industry as to the power of an open ecosystem where precisely engineered scientific data flows freely and without restrictions. Your success in this role will directly shape TetraScience's growth trajectory and market position while ensuring our platform is accelerating science and patient outcomes across countless use cases. Responsibilities • Scientific & Domain Expertise, • Deep understanding of pharmaceutical/life sciences R&D workflows, data, and scientific principles, • Ability to engage credibly with data scientists, lab scientists, and R&D IT stakeholders, • Technical Skills, • Able to code and build practical solutions using scientific data platforms, pipelines, and apps, • Translate complex technical problems into working implementations within a pharma context, • Training & Enablement, • Design and deliver in-person training sessions, workshops, and demonstrations for both technical and non-technical audiences, • Create supporting materials: tutorials, documentation, sample code, and best practice guides, • Communication & Collaboration, • Translate technical and scientific concepts into clear, accessible language for non-technical stakeholders, • Collaborate with Product, Engineering, and UX teams to surface customer feedback as actionable requirements Must Have: • 2+ years professional experience in a Life Sciences company and/or a scientific background, • 3+ years professional experience as data scientist, scientific data engineer, or solutions architect, • 2+ years professional experience in technical enablement and/or developer relations, • Solid experience running large scale enablement programs, and how to evangelize and roll out the programs effectively across the organization, • Exceptional communication, storytelling, and presentation skills, coupled with a strong executive presence and the ability to effectively influence and engage large audiences, • Strong technical background with hands-on experience in SQL, Python, and modern data stack technologies, • Deep understanding of drug discovery, development, and manufacturing processes, • Ability to travel regularly to customer locations and whiteboard the product strategy with them, • Experience with data governance, privacy, and compliance considerations, • Exceptional stakeholder management skills with ability to influence C-level executives, • Ability to deal with ambiguity and thrive in a constantly changing and evolving work environment, • Experience working with high-bandwidth and high-energy professionals, • Insatiable curiosity to learn, develop, and grow year-over-year, • Great interpersonal skills and an ability to coordinate and drive initiatives supporting multiple teams Nice To Have: • Experience at high-growth SaaS companies with complex data needs, • Previous experience as a practicing bench scientist is highly valued, • Previous experience within a biopharma company in an IT related function is a big plus, • Background in technical support / field service highly valuable - this demonstrates your ability to internalize complexities and tailor explanations for a given audience, • Familiarity with enterprise sales processs within the pharmaceutical sector, • Experience with AWS application stack, • Competitive Salary and equity in a fast-growing company., • Supportive, team-oriented culture of continuous improvement., • Generous paid time off (PTO)., • Flexible working arrangements - Remote work. We are not currently providing visa sponsorship for this position

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.

At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with , and Fellows from our award winning _. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. As a Senior Data Scientist in our Defence business unit you will lead project teams that deliver bespoke algorithms to our clients across the defence and national security sector. You will be responsible for conceiving the data science approach, for designing the associated software architecture, and for ensuring that best practices are followed throughout. You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects. Particularly in the initial stages of commercial engagements, you will guide the process of defining the scope of projects to come with an emphasis on technical feasibility. We consider this work as fundamental towards ensuring that Faculty can continue to deliver high-quality software within the allocated timeframes. You will play an important role in the development of others at Faculty by acting as the designated mentor of a small number of data scientists, and by supporting the professional growth of data scientists on the project team. The latter includes giving targeted support where needed, and providing step-up opportunities where helpful. Faculty has earned wide recognition as a leader in practical data science. You will actively contribute to the growth of this reputation by delivering courses to high-value clients, by talking at major conferences, by participating in external roundtables, or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the comforts of fast configuration, secure collaboration and easy deployment. Because your work in data science will inform the development of our AI products, you will often collaborate with software engineers and designers from our dedicated product team. Senior experience in either a professional data science position or a quantitative academic field Strong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill A leadership mindset focussed on growing the technical capabilities of the team; a caring attitude towards the personal and professional development of other data scientists; enthusiasm for nurturing a collaborative and dynamic culture An appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework; resourcefulness in overcoming difficulties through creativity and commitment; a rigorous mindset in evaluating the performance and impact of models upon deployment Some commercial experience, particularly if this involved client-facing work or project management; eagerness to work alongside our clients; business awareness and an ability to gauge the commercial value of projects; outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audience Experience leading a team of data scientists (to deliver innovative work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to delivery The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

Are you a Geospatial Data Engineer Volunteer 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 a enthusiastic Geospatial Data Engineer professional who has 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! 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, 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. 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 Data Engineer skillset (e.g.: data pipeline automation, hazard exposure platforms, multi-risk models, conflict incident reporting, etc…), • Work with external partners such as UN agencies, International NGOs and Academic Institutions, • 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, • 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 team, • 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: • Degree or equivalent experience in the field of Data Science, Data Engineering, Computer Science, Software Development, Information Technology or a related field, • Three or more years of professional experience working in a data or information management team, as a data engineer, data scientist, developer or other similar role, • Experience and proficiency working with Python and Jupyter Notebooks, • Data pipeline design skills, • Knowledge of cloud platforms like GCP, AWS or Azure, • Experience and understanding of CI/CD pipelines, • 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 with QGIS or ArcGIS, • Experience working with geospatial data (raster and vector), • Databases (NoSQL, SQL, Graph Dbs, Principles of RDBs), • Experience with Systems Engineering, • Understanding of the Software Development Life cycle, • Thorough grounding in containerisation e.g. Docker, Kubernetes, • Shell scripting, • An interest in software-engineering or data-science e.g. ML / DL / AI / Statistics, • Humanitarian knowledge/experience What does it mean to be part of the MapAction team? 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.

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. We're looking for a Senior Data Scientist (L5) to join our Product Data team collaborating with our Product Analysts to build deep understanding of how users engage with our AI-native products through conversation and interaction data. You will work at scale with unstructured text data - prompts, model outputs, user edits, feedback - to discover patterns that explain user behaviour and directly shape what we build next. The focus is on semantic analysis of conversations: understanding intent, identifying failure modes, detecting successful interaction patterns, and translating these insights into specific product improvements. This is hands-on analytical work, not infrastructure-focused. We need someone who can analyse messy conversation data, discover non-obvious patterns, and connect those findings to product decisions that move the needle on adoption, retention, and cost efficiency. For exceptional candidates with track records of leading analytics in AI-driven environments, we are open to hiring at Principal level, where you would set the broader data science agenda and mentor the existing analytics team. Define how we measure "good" for AI-native features beyond traditional funnels. Build semantic frameworks to categorise user intent, model behaviour, and interaction patterns - e.g., "What types of prompts succeed vs. fail? What causes users to retry? What signals indicate satisfaction?" Design feedback loops that connect prompts, model outputs, user behaviour, and downstream outcomes. Define, track, and own the metrics that leadership and product teams depend on for a shared, trustworthy view of what is working and what is not. Work with large conversation datasets to deeply analyse how users interact with AI features (prompts, edits, retries, acceptance, abandonment). Identify failure patterns, unnecessary iteration loops, and the characteristics of successful interactions. Build models that answer the questions dashboards cannot: what predicts a good user outcome, what drives failure, and where the highest-leverage improvements are. Turn findings into specific, prioritised recommendations that feed directly into the product roadmap. Partner with Product and Engineering to evaluate iterations quickly and close the loop between insight and action. Run experiments end-to-end: design, instrument, analyse, and translate results into clear product decisions. Link AI feature usage to activation, retention, expansion, and cost efficiency. Help answer questions like: Which interactions create durable value? Where are we over-spending compute for low user impact? Build pipelines, dashboards, and self-serve analytical tools that make insight accessible and trustworthy across the organisation. Mentor a team of product analysts, raising the technical bar and introducing new methods where they add real value. Significant experience (ideally 5+ years) in Data Science, Product Analytics, or a similar role with conversation, chat, or dialogue data at scale. You have actually analysed large volumes of user text (prompts, messages, feedback, reviews) to discover patterns that shaped product decisions. Experience working closely with Product and Engineering teams. Hands-on experience working with AI/ML-driven products (LLMs, ranking, generation, recommendations). You have worked on these systems, not just alongside them. Strong applied modelling skills: regression, classification, clustering, survival analysis, or similar. You pick the method that fits the question, not the other way around. Deep expertise in experimentation design and statistical inference. You can design a valid experiment, choose the right test, and explain the results to a non-technical audience. Fluency in SQL and Python. Comfortable working with large, messy, high-dimensional interaction data and building reproducible analysis pipelines. Ability to design pragmatic evaluation metrics where ground truth is fuzzy. Familiarity with modern data stack tools: dbt, Snowflake, Hex, Omni, Looker, or similar. Clear communicator who can influence without authority. Experience with product analytics platforms (e.g. Amplitude, Mixpanel, or similar). Experience working with NLP, text analytics, or unstructured data at scale. Experience building semantic search, relevance scoring, or interaction-based evaluation systems. Familiarity with prompt analytics, embedding-based analysis, or clustering user behaviour. Track record of influencing product strategy at a senior level, not just delivering analyses. Experience mentoring or technically leading other analysts or data scientists. At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. _ You will be compensated well with a generous salary and equity Flexible, remote-friendly role for team members working in UK/Europe You get 25 days of annual leave + local holidays Regular team offsites where you’ll get to collaborate with the product & engineering team in person Work from home budget "Work from anywhere" up to 60 days per year Generous referral scheme of up to $10,000 USD for each successful referral

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At _, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Data Science AI Trainer, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare)., • Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn)., • Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)., • Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction., • Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility., • Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency., • Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations)., • Incorporate big data processing scenarios requiring scalable computational approaches., • Verify solutions using Python with standard data science libraries and statistical methods., • Document problem statements clearly with realistic business contexts and provide verified correct answers. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. • You hold a Master’s or PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field., • You have at least 5 years of hands-on data science experience with proven business impact., • You have portfolio of completed projects and publications showcasing real-world problem-solving., • You are proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)., • You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications., • You are proficient in SQL and database operations for data manipulation and analysis., • You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)., • You have good understanding of MLOps practices and model deployment workflows., • You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)., • Your level of English is advanced (C1) or above., • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines., • Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? • Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs., • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments., • Work on advanced AI projects and gain valuable experience that enhances your portfolio., • Influence how future AI models understand and communicate in your field of expertise.

About AQEMIA AQEMIA is a next-gen pharmatech company generating one of the world's fastest-growing drug discovery pipeline. Our mission is to design fast innovative drug candidates for dozens of critical diseases, such as immuno-oncology. Our unique approach leverages quantum-inspired physics algorithms to power generative AI in designing novel drug candidates—without relying on experimental data. We already delivered several drug discovery successes within our internal pipeline and through collaborations with pharmaceutical companies. Our most advanced programs are currently in vivo optimization. About the team you’ll join:As a Senior AI Research Scientist, you will join one of Aqemia’s Drug Discovery Platform AI Teams, composed of 5 AI Researchers, and lead efforts to develop cutting-edge AI algorithms to model protein-ligand systems and predict molecular properties. You will be a hands-on technical expert pushing the boundaries of what AI can do for drug discovery. Your deep knowledge of machine learning, strong coding foundations, and applied experience in model development will play a key role in advancing our Drug Discovery Platform.You will act as a technical mentor, contribute to high-impact R&D projects, and help integrate innovative AI methodologies into real-world drug discovery applications. • Lead the design and the technical implementation of novel ML algorithms with a strong focus on deep learning, generative models, graph neural networks, and physics-informed AI to predict molecular properties and protein-ligand interactions., • Take part in cutting-edge research and bibliographic exploration. You’ll identify relevant recent publications, benchmark promising ideas, and propose model or pipeline improvements., • Act as a mentor to junior team members, offering guidance on system design, model implementation, debugging, and good coding practices., • Collaborate with AI researchers, computational chemists, and drug discovery teams to translate AI models into actionable scientific insights., • Be deeply involved in coding, from prototyping to deploying production-ready models. You should have a strong software engineering mindset and a passion for writing clean, efficient, and scalable code., • Share best practices in deep learning model development, testing, and reproducibility within the team., • Scale AI models for real-world applications, optimizing model efficiency, interpretability, and generalization to unseen chemical spaces., • Strong problem-solving skills, autonomy and a collaborative mindset., • PhD or equivalent practical experience in Machine Learning, Computer Science, Applied Mathematics or a related field, with at least 8 years of experience., • Strong programming skills in Python and proficiency with Deep Learning frameworks (e.g., PyTorch, JAX, TensorFlow)., • Demonstrated hands-on experience implementing and deploying deep learning models in production or research environments., • Strong scientific rigor, curiosity, and ability to perform bibliographic research and exploratory R&D., • Experience in drug discovery, chemistry, or physics., • Experience with physics-informed ML models., • Familiarity with high-performance computing (HPC) and cloud-based ML pipelines.Interview Process- Screening call with Talent Acquisition (30 min)- Interview with your future Manager (45 min)- 1st technical interview: Paper review (1.5 hours)- 2nd technical interview: Take-home ML case (1.5 hours)- Interview with VP Platform and co-founders (1 hour each) Preferred MindsetAt Aqemia, we believe that great science thrives in the right mindset and culture. We are looking for candidates who embody the following principles: Pragmatic and Impact-Driven – Focused on delivering solutions that work in real-world applications, balancing scientific rigor with practical usability.Eagerness to Learn – A strong curiosity for scientific advancements and a willingness to continuously expand your expertise.Love for High Scientific Challenges – Enthusiasm for tackling complex problems at the frontier of AI and drug discovery.Team-Oriented – A collaborative spirit, thriving in an interdisciplinary environment.Humility – Open to feedback and different perspectives, always striving for improvement. Aqemia’s Recruitment team leads all recruitment activities for the company. We will not recognise any notional ownership recruitment companies claim over candidates presented directly to hiring managers without our Recruitment team's consent. Unsolicited resumes sent to us from recruiters do not constitute any type of relationship between the recruiter and Aqemia, and we will not be obligated to pay fees should we hire from those resumes. Why Join Us ? At AQEMIA, we work for a mission: joining us means having your own impact on changing the way drugs are discovered, and helping to shape the direction of our fast-growing company and team. Expanding Drug Discovery Pipeline : Focused on critical therapeutic areas like Oncology, CNS, Immuno-inflammation... with in vivo proof of concept/patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal.Interdisciplinary Team : brilliant talent from tech and life sciences.DeepTech Recognition: Part of French Tech 120 and France 2030.Prime Location : Based in central Paris and London (King's Cross) with the possibility of 2 remote days per week.International Environment : The work language is English - relocation support and French lessons granted if needed.Strong Financial Backing : $100M raised from leading European and International investors

Description Brego is an automotive technology company using AI and data analytics to help dealerships, lenders, and other industry partners make better vehicle valuation, pricing, and risk decisions. Working at the intersection of software, data, and decision-making, the team focuses on turning complex information into practical products that support smarter outcomes across the automotive market. As a Lead Data Scientist, you will take ownership of the AI (custom neural networks rather than third-party LLM technology) and machine learning capabilities behind products that influence high-value pricing and risk decisions. This is a hands-on technical leadership role where you will be responsible for designing, building, deploying, and continuously improving production machine learning systems from end to end. You will own the full lifecycle of models, from feature engineering and training through deployment, monitoring, retraining, and ongoing optimisation, working independently while collaborating closely with engineering and product teams to deliver measurable business impact. • Own the end-to-end lifecycle of production machine learning models, from problem definition through deployment and ongoing optimisation., • Design, build and deploy artificial neural network and machine learning models for vehicle valuation, pricing and other analytics., • Take responsibility for production model performance, reliability and long-term maintenance., • Evaluate model performance and improve predictive accuracy across production models., • Develop and maintain automated retraining pipelines to keep models effective over time., • Monitor deployed models, investigate issues and implement improvements to ensure models remain accurate and reliable., • Design and run experiments, track results and use data to drive model improvements., • Work closely with engineering and product teams to integrate models into production systems and deliver business value. Requirements Must have: • 5+ years of experience building and deploying machine learning models in production environments., • Strong experience developing and training neural networks for real-world applications., • Strong experience with the Python data science ecosystem, including pandas, NumPy and scikit-learn., • Hands-on experience with PyTorch or TensorFlow., • Strong understanding of machine learning, statistics, and model evaluation methodologies., • Experience taking machine learning models from concept through deployment and ongoing production ownership., • Experience evaluating model performance, improving predictive accuracy, and maintaining retraining pipelines, model monitoring, and experiment tracking., • Experience with feature engineering and working with large, real-world datasets., • Experience writing clean, maintainable, production-quality Python code., • Experience with SQL for data analysis and data manipulation., • Experience deploying ML workloads in cloud environments., • Ability to independently own technical projects and make sound engineering decisions with minimal supervision., • Strong problem-solving skills with the ability to investigate complex data and modelling challenges., • Strong communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders., • Experience collaborating with software engineers, product managers, and data engineers., • Eligible to work in the UK. Nice to have: • Experience in the automotive industry or with vehicle data., • Experience in pricing, forecasting, risk modelling, or other predictive analytics domains., • Experience with MLOps tooling and infrastructure., • Experience building automated data and model pipelines., • Experience mentoring or providing technical leadership to other data scientists or engineers. Benefits • Competitive salary of £90,000 - £110,000 per year, depending on experience., • Private healthcare., • Pension scheme., • Fully remote role with flexible working hours., • Working from home allowance., • Choice of Apple MacBook Pro or high-spec Windows workstation., • Learning and progression opportunities., • Optional access to our Silverstone office. The team usually meets there around one day per week, but attendance is entirely optional., • High levels of ownership and autonomy with the opportunity to shape the company’s AI strategy., • Collaborative, low-bureaucracy engineering culture that values autonomy, integrity and innovation., • Regular company social events., • 25 days annual leave plus 3 additional days between Christmas and New Year.

Data Scientist 1 day a month in London (expensed) We are working with a networking organisation that specialises in financial services. They are looking to add their first Data Scientist to the team to lead on projects from start to finish. You will build a scoring model to match customers to the client and be able to work closely with stakeholders. You will need: • 3-5 years Data Science experience, • Python & SQL, • Predictive Modelling, Statistical Analysis experience, • Strong communication and stakeholder skills, • Have worked in a small organisation

At Bending Spoons, we’re striving to build one of the all-time great companies.A company that serves a huge number of customers.A company where team members grow to their full potential.A company that functions at unparalleled levels of effectiveness and efficiency.A company that creates value for

In this role you will: Understand key issues in agriculture and aquaculture and supply chains and metrics for assessing supply chain sustainability Clean, integrate and analyse structured and unstructured supply chain data from multiple sources, including farms, factories, IoT sensors, ERP syste

Your Role This role focuses on applying data science, statistics, machine learning, graph analytics, and KPI engineering to enable autonomous network intelligence.The AI Data Scientist will work with network telemetry, alarms, performance counters, inventory data, topology data, trouble tickets, ser

Senior Data Scientist | Personalized Medicine | Deep Tech Startup * Full-time At iLoF, you will develop data science methods that extract reliable signals from biomedical and optical data. Who we are looking for? You are a hands-on Data Scientist who is comfortable working in a fast-paced startup en

SLB in Abingdon is offering a Data Scientist Internship for 6 months, starting in Summer 2026.This role will involve collaborating with the geomechanics team to develop numerical models crucial for operational decisions in energy innovation.Applicants should be pursuing a PhD in relevant disciplines

You have worked hands‑on with the upstream geospatial and data‑fusion platforms our data lives in and comes from, such as ArcGIS / ESRI, Palantir (Foundry or Gotham), and similar systems, and you can pull, shape, and trust data straight from them rather than waiting for someone to hand you a cle

Knowledge ofFAIR data principles, data governance, and data engineering practicesto support robust, scalable, and reproducible research. About the Job TheData Solutions Unit within UKAEA’s Computing Divisiondelivers innovative research, development, and specialist support across data engineering,

About Us At the company, we are on a mission to help build a better Internet.Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers rangin.Technical Escalations Engineer 2 (Revenue and Cost Management) - APJ Technolog

Oxford Dynamics is seeking a Data Scientist to develop detection capabilities using real-world sensor data in defence and national security contexts.The ideal candidate will possess a strong knowledge of Python, anomaly detection, and choose the appropriate technique for data processing.This role of

Alignerr is seeking a Data Scientist with a Masters to serve as an AI data trainer on a remote hourly contract. You will design complex, domain-specific data science challenges and author rigorous, ground-truth solutions using Python/R, SQL, and mathematical derivations.

Capgemini is seeking an AI/Data Scientist to apply data science, statistics, and ML to autonomous network intelligence.

Alignerr is seeking a Principal Clinical Scientist to design regulatory-grade clinical trials for AI training and to ensure AI models reason over robust biomedical data. This fully remote, flexible hourly contract lets you apply senior clinical expertise while working 10–40 hours per week, guiding

Bending Spoons is building one of the most impactful tech companies with a data-centric culture.You will design and improve data pipelines, ensure data correctness, and build internal data products used by product teams.The role emphasizes using AI to accelerate insights and decision-making, with a

Bending Spoons is hiring for a data-focused role that shapes data pipelines and analytics across our product teams. You will help design scalable data systems, validate data quality, and build internal tooling to support business decisions, speed up innovation, and strengthen performance.

Scientist I – Media Development Location: Oxford Salary: £Competitive Ivy Farm Technologies is at the forefront of cultivated meat innovation, developing pioneering technologies that are helping shape the future of sustainable food production. As we continue to grow, we're looking for a Scientist I – Media Development to join our R&D team and play a key role in developing serum-free and chemically defined cell culture media that supports scalable cultivated meat production. Working within a collaborative, multidisciplinary environment, you'll contribute to the design, optimisation and scale-up of cell culture media, generating high-quality scientific data that drives innovation across the business. The Role As Scientist I, you'll plan and execute laboratory experiments with increasing independence, supporting the development of next-generation cell culture media. You'll work closely with colleagues across Process Development, Scale Up, Manufacturing and Analytics to improve cell growth, viability, robustness, scalability and cost efficiency. Key Responsibilities Design and execute cell culture and media development experiments. Develop and optimise serum-free and chemically defined media formulations. Perform media component screening, dose-response, omission and interaction studies. Evaluate cell growth and media performance using multi-well plates, shake flasks and small-scale bioreactors. Collect, analyse and interpret experimental data, including cell counts, viability, morphology, pH, osmolality and metabolite analysis. Present findings and make evidence-based recommendations for future work. Maintain accurate electronic laboratory notebooks and ensure data integrity. Troubleshoot experimental challenges using structured root-cause analysis. Coordinate analytical sample submissions and maintain traceability. Contribute to project reviews, technical presentations and continuous improvement initiatives. Support training, knowledge sharing and maintenance of laboratory standards while following health, safety, quality and confidentiality requirements. About You We're looking for a motivated scientist who enjoys solving complex biological challenges and thrives in a collaborative research environment. You'll ideally have: A PhD in Life Sciences, Biotechnology or a related discipline. Proven postdoctoral experience in cell biology or process development, within industry or an academic-industry collaboration. Strong hands-on experience with mammalian cell culture and aseptic laboratory techniques. Experience preparing cell culture media, buffers, stock solutions and reagents. Knowledge of experimental design, data analysis and biological data interpretation. Experience using electronic laboratory notebooks (ELN), LIMS and controlled documentation. Excellent planning, communication and problem-solving skills. Desirable Experience Stem cell, primary cell, suspension or 3D mammalian cell culture. Small-scale bioreactor operation. Automated high-throughput screening platforms. Design of Experiments (DoE) software. Familiarity with HPLC, LC-MS or metabolite analysis workflows. What Ivy Farm Technologies Offers The opportunity to contribute to groundbreaking cultivated meat technology. A collaborative and innovative scientific environment. The chance to work alongside talented multidisciplinary teams tackling real-world challenges. Ongoing opportunities for technical and professional development. Competitive salary and benefits package. If you're passionate about advancing cell culture technologies and want to make a meaningful impact in one of the world's most exciting biotechnology sectors, we'd love to hear from you. Apply today to join Ivy Farm Technologies and help shape the future of sustainable food production

Data Scientist Placement Programme - No Experience Required Our training will help you kick-start a new career as a Data Scientist. We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step will fully prepare you for the professional projects that you will undertake in step 4 of this process. At the end of this step, you will complete a short online multiple-choice exam to showcase your understanding of the courses before moving on to step 2. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a great starting salary. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. At a one off cost of £1495, or a deposit of £212 followed by 10 interest free monthly instalments of £148, this represents a great opportunity to start a rewarding career in IT and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch. ‘Please note that this is a training course and fees apply

Research Scientist (Organic Synthesis) Location: Oxford, UK Salary: £35,000 - £45,000 + Benefits Job Type: Permanent, Full-TimeJoin an innovative chemistry company based in Oxfordshire, specialising in advanced materials technologies as a Research Scientist. This role is ideally suited for a recent PhD graduate or someone nearing completion of their PhD with a strong background in organic synthetic chemistry. Day-to-day of the role: Develop and optimise novel coating and materials chemistries. Conduct laboratory-based synthesis and characterisation work. Support the expansion of the company technology platform and intellectual property portfolio. Contribute to new product development programmes. Collaborate closely with a multidisciplinary R&D team.Required Skills & Qualifications: PhD completed or close to completion in Organic Chemistry or a related discipline. Strong hands-on experience in organic synthesis. Excellent practical laboratory skills and experimental design capability. Experience in analysing and interpreting experimental data. Strong problem-solving skills and attention to detail. Interest in applying research within a commercial R&D environment.Benefits: Opportunity to work in a fast-growing, venture-backed business. Engage in commercially impactful research. Excellent opportunity for an early-career scientist to accelerate their professional development. Work within an Oxford technology spin-out environment.To apply for this Research Scientist position, please submit your CV and a cover letter detailing your relevant experience and why you are interested in this role

Principal Data Scientist / ML Consultant (Contract). Principal Data Scientist / ML Consultant. Data engineering and pipeline development capability.