51 to 75 of 207 Experimental Design Jobs in the UK

build and operate production AI. As a Vice President Machine Learning Data Scientist in Payments Machine Learning, you will lead the design, development, and production deployment … of machine learning applications, including generative AI and agentic systems, on cloud infrastructure. You will own end-to‐end delivery from problem framing and experimental design through scalable MLOps, evaluation, governance, and integration with strategic systems. You will help set technical direction, establish reusable patterns, and ensure ...

Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations … providing documentation on use of the simulation tools Collaborate with colleagues in Design, Fabrication, and Test departments to gather data and ensure experimental verification Design experiments to assess the limitations of e.g. process tolerances by correlating initial models to experimental data and evolve physics ...

with agentic engineering, including agentic coding tools, specification-driven or evaluation-driven development, or multi-agent orchestration Practical experience with statistical data analysis and experimental design Practical software development experience in collaborative settings Excellent communication skills and strong executive presence, with credibility as a thought leader ...

flow of proprietary data on our journey to develop generalised solutions applicable across diverse multi-modal tasks. What you'll do Form hypotheses, design experiments, and drive original research on open problems from leading robotics and AI customers Research and prototype agentic workflows which can handle multimodal inputs ...

research publications Skills/Must Have Strong quantitative background with excellent analytical and problem-solving skills Python programming experience Understanding of statistics and experimental design Experience working with data science or machine learning workflows Interest in LLMs, generative AI and agentic systems Ability to analyse data ...

develop horizontal capabilities through APIs, libraries, and thought leadership. You will collaborate with Line of Business AI teams to address priority use cases, design and build services, and promote best practices in AI. Your role will involve mentoring a team of AI engineers and ensuring the firm stays … have worked in one of the top commercial AI research labs Deep understanding of AI fundamentals and practical experience with data analysis and experimental design Recent hands-on experience training, deploying models and pipelines Familiarity with distributed computing patterns for training, serving, persistence of state Experience ...

functional genomics data, working day to day with the scientists who design and run the screens. You will work with them from experimental design through to picking hits, and build the pipelines that let the analysis keep up as screening throughput grows. This … build the analysis on top of that, and you own its quality. Your first 90 days FIRST 30 DAYS Learn how the scientists design and run the screens, and what each readout produces, from sequencing to imaging and proteomics. Review the analysis and QC that exist for CRISPR ...

imperfect information and changing priorities, and finding practical ways around blockers. Clear written and verbal communication in English, combined with attention to detail and experimental rigour. You can explain quantitative and technical findings concisely to technical and commercial stakeholders and keep artefacts disciplined and reproducible. A collaborative team attitude … Desirable experience: Exposure to computer vision, multimodal AI, vision‐language models, embeddings, captioning, retrieval, data curation or related Visual AI workflows. Experience with benchmarking, experimental design, performance analysis, or using AI coding tools to build working scripts, dashboards or small applications. Familiarity with Linux, Docker, cloud platforms ...

Game Designer, Inception, DeepMind corporate_fare DeepMind place London, UK Bachelor’s degree or equivalent practical experience. 5 years of experience in game design, including … more shipped commercial titles. Experience architecting agentic workflows and implementing generative AI models within a game production or software development pipeline. Experience managing experimental design projects or research and development initiatives. Experience with UI/UX systems or mechanics that focus on player accessibility and cognitive load ...

turn great methodologies into scalable, production‐ready solutions. What you’ll do Your days will be dynamic. You might find yourself: Leading the design and development of advanced retail media measurement methodologies using customer, transaction, campaign and exposure data. Developing our capabilities across areas including attribution, incrementality … supporting their professional growth. What we’re looking for Experience in marketing effectiveness or advanced analytics, with expertise across areas such as attribution, experimental design, causal inference, regression, forecasting, segmentation and machine learning. Advanced Python and SQL skills, with experience building modular, well‐tested and maintainable analytical ...

modern ML/DL stack (e.g., PyTorch, Hugging Face) Hands-on experience evaluating, fine-tuning, and deploying Large Language Models Strong grounding in experimental design, evaluation, and benchmarking of ML systems Ability to bridge research and engineering: prototypes that become production-ready capabilities Awareness of inference cost ...

with automated QA tooling and test coverage practices Any experience with marketing, ecommerce, or advertising data Exposure to Bayesian methods, marketing mix modelling, or experimental design Not required You do not need prior experience with marketing mix modelling, attribution methodology, incrementality testing, or Bayesian modelling. These ...

Experience building customer lifetime value, survival, propensity or churn models, ideally for a subscription business and used to drive CRM or marketing activity Strong experimental design and causal inference: A/B tests, holdouts and control groups, uplift measurement and incrementality Experience feeding model outputs into paid ...

platform. We're scaling our Boston screening platform and releasing a public foundation model this year. You're the person who makes our experimental output computationally actionable. Relocation? Yes Compensation £50k-£70k, depending on experience, plus equity & benefits Location London Reports To Saif Ur-Rehman (Director, Data Engineering) Responsibilities … scientist with hypotheses, not a technician with a task list. Perturbation data quality. You own the validation layer between the bench and the models. Experimental drift, contamination, batch effects, protocol deviations: you catch them before they corrupt model training. Reproducible analytical infrastructure. As methods mature, you convert ...

believe that collaborative engineering drives faster AI innovation and are backed by a mix of UK Government and private funding in order to design, build and deploy innovative AI systems. The Opportunity We are seeking a Research Scientist to drive our research on new large language model architectures … multi-GPU training. A working understanding of LLM inference costs, such as KV cache, memory bandwidth and why decoding is memory-bound. Rigour in experimental design: strong baselines, statistical comparison and honest reporting of negative results. A strong enthusiasm for using LLMs, coding assistants, and agents ...

from ideation, discovery and scoping through experimentation, production deployment, monitoring and iteration, measuring their impact against agreed business outcomes. Act as the technical design authority for AI, setting direction across architecture, model selection, data and retrieval strategies, fine-tuning, evaluation and deployment, and making the hard calls … outcomes: framing the business question, setting baselines, choosing the right metric and delivering measurable results rather than just models. This comes with statistical rigour: experimental design, sound validation, and an instinct for leakage, bias and overfitting in messy real-world data. Strong ML fundamentals across classical ...

tackling hard problems with curiosity, humility, and a deep sense of care for one another. TFLN photonic circuits are built on the same design principles as silicon and other platforms, but the material's anisotropic and EO behavior opens up a largely unexplored design space. … growing team is looking for a Staff or Senior Staff Photonics Design Engineer to lead the design of device components on our platform, with a particular focus on optical interfaces. We welcome strong designers from SOI, III-V, and other platforms. Technical depth matters more ...

Aerospace in Luton is a world leader in commercial and military ice protection systems and transparencies. Offering a full range of capabilities; design, analysis, testing, certification and manufacture of electro-thermal ice protection, military fast jet canopies and flight deck windows to over 20 programmes including: Boeing … demonstrate strategic thinking. • Working knowledge of aerodynamics and an appreciation of physics based modelling approaches for thermodynamic analysis. • Experience of test/experimental design, and practical execution in laboratory or test facility conditions to defined standards, and be able to contribute to the development of new test ...

with agentic engineering, including agentic coding tools, specification-driven or evaluation-driven development, or multi-agent orchestration Practical experience with statistical data analysis and experimental design Practical software development experience in collaborative settings Excellent communication skills and strong executive presence, with credibility as a thought leader ...

Specialty Semiconductor applications. Solve challenging process and hardware problems where solutions are not immediately apparent, applying a combination of first‐principles understanding, simulation, experimental design, and data‐driven analysis. Drive invention activities and contribute to patent generation and intellectual property strategy. Hardware & Process Leadership Lead investigation … expertise and best practices. Lead technical reviews and influence development priorities across the wider organization. Work closely with engineering teams to influence chamber design, RF systems, gas delivery, thermal management, endpoint control, and process diagnostics. Simulation & Modelling Interpret modelling tools such as COMSOL or equivalent simulation packages ...

deliver value to real users at scale. Part of your day-to-day Own, debug, and improve production pipelines for accuracy and efficiency. Design, build, and iterate on LLM evals and LLM-as-a-judge systems, including the datasets, metrics, and benchmarks to monitor quality. Run rigorous experiments … individual with an experiment- and data-driven researcher mindset with good coding habits. This includes: Solid machine learning/data science background : you understand experimental design, data splits, metrics, bias, and statistical significance, and you know when a result is real. Hands-on experience applying LLMs ...

Tregoe. Plan, execute and analyse engineering trials across diffusion, assembly and life‐test processes. Develop robust process modules and produce clear, accurate documentation. Drive experimental design, risk analysis and feasibility studies for new technologies. Build strong cross‐functional relationships with equipment, yield, design and operations … Engineering with a strong foundation in materials, thin films, defects, and Physics with emphasis on solid‐state physics, microelectronics, semiconductor devices or cleanroom‐based experimental work Chemical Engineering where modules or research relate to etch/deposition chemistry, reaction engineering or process control Related engineering disciplines (e.g., Mechanical, Manufacturing ...

solutions while supporting the continued growth and development of our professional workforce. Key Responsibilities Product analytics — Define metrics for new and existing features. Design and analyse A/B tests end-to-end: hypothesis, sample sizing, statistical readout, and decision recommendation. Diagnose user behaviour, identify drop-off points … window functions, CTEs, query optimisation. Strong Python — pandas, numpy, scipy, statsmodels (or equivalent); able to build analysis pipelines, not just notebooks. Solid applied statistics — experimental design, hypothesis testing, sample sizing, multiple testing correction, regression, causal inference fundamentals. You know when a statistical method fits and, more importantly ...

quantisation, sparsity, model compression, low-precision computation) Spiking systems, neuromorphic computing and computational neuroscience Hardware-aware machine learning (memory bandwidth, inference efficiency, energy modelling) Experimental design and evaluation (baselines, ablations, robustness, computational cost) Requirements: Bachelor’s, Master’s or PhD in Maths, Neuroscience, Computer Science, Physics, Engineering … numerical methods, information theory or statistical learning Strong Python and PyTorch (or JAX) experience, with a solid understanding of transformers and LLM architectures Rigorous experimental mindset, with the ability to move between mathematical reasoning, experimentation and implementation Research publications, open-source contributions or substantial independent projects (industry experience ...

They will also curate large-scale datasets, working with both qualitative and quantitative data to support research objectives. This role is central to advancing experimental design and data collection for fatigue detection studies. Responsibilities Experiment Design and Data Collection Manage, prepare, and conduct eye-tracking ...