51 to 75 of 187 Experimental Design Jobs in England

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 ...

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 ...

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 ...

cases within the domain Deliver multiple agents that collaborate to solve large, complex problems, orchestrate end-to-end workflows, and scale across JPMC Design and build services and libraries that AI teams want to use Mentor and inspire a team of AI engineers, fostering a culture of excellence … Skills: Research experience or work in a top commercial AI research lab Deep understanding of AI fundamentals and practical experience with data analysis and experimental design Proven track record of deploying AI/ML applications in a production environment at scale Familiarity with distributed computing patterns ...

Operations, Data & Analytics, Security & Quality Compliance, Transformation, Application Development, and Enterprise Platforms. Job Overview Key Responsibilities Architecture and technical strategy Contribute to the design and architecture of core platform components and evaluation systems, making the load-bearing technical decisions and bearing accountability for their reliability, scalability, and long … regression signals - and build dashboards and reporting that turn those signals into actionable decisions. Drive engineering rigor in delivery through testing discipline, reproducibility, sound experimental design, and statistically defensible measurement of model quality. Technical leadership Provide technical leadership on the team's most ambiguous and highest-impact ...

cycle end-to-end: identify user needs, define success, build evaluations, diagnose failures, and work with engineers and product managers to improve outcomes.. Design, build, and evolve evaluation systems, including datasets, benchmarks, metrics, and automated pipelines that support development and launch decisions.. Evaluate response quality across multiple dimensions … engineering mindset: you can turn analytical ideas into reliable, maintainable pipelines and tools.. A solid foundation in mathematical statistics and practical experience with experimental design, sampling, uncertainty, and measurement bias.. Strong analytical judgment: you understand what a metric captures, what it misses, and whether an observed improvement ...

impact. You'll join a highly collaborative environment where analytics sits at the heart of product decision-making, working alongside product, engineering, and design teams to influence strategy and drive measurable outcomes. The Company They are a well-established digital business with a large-scale consumer platform used … journeys, product performance, or user engagement * Experience leading or supporting experimentation programmes and A/B testing initiatives * Knowledge of statistical inference methodologies and experimental design principles * Advanced SQL skills and strong Python capability * Understanding of product analytics and digital tracking platforms such as Google Analytics ...

Steinback (CEO) to help us understand and improve how our AI assists writers.Here are some examples of areas you will be working in: Design and implement evaluation frameworks for complex, subjective AI outputs (like writing feedbackthat's meant to inspire rather than just correct) Build flexible evaluation pipelines … integrate with our existing systems Background in human-computer interaction, computational creativity, or writing research Experience with A/B testing, statistical analysis, and experimental design Familiarity with modern AI observability and monitoring tools Published research or deep interest in AI evaluation methodologies Interest in writing (fiction ...

agent orchestration Designing and running model evaluations Cloud deployment, containers and CI/CD Understanding AI attack surfaces and failure modes Applied statistics and experimental design Experience in AI safety, adversarial ML, AI red teaming, technical assurance or Defence/Secure Government environments would be highly advantageous. ...

deeply analytical Marketing-focused role Strong Python and SQL knowledge Strong grounding in the statistical methods behind predictive modelling and forecasting Strong grounding in experimental design and causal inference (e.g. geo holdouts, synthetic control, power analysis) Excellent written and verbal communication skills and presenting to non-technical ...

of-control action plans. Uphold cleanroom, contamination-control and safety procedures. Collaboration & Project Support Work closely with process, equipment and integration engineers. Generate experimental data and technical summaries to support R&D milestones. Contribute to process improvement and technology transfer activities. Requirements PhD in Physics, Materials Science, Electrical/… sputtering or thermal/e-beam evaporation. Experience operating characterisation equipment such as SEM, surface profilometers, ellipsometers and optical inspection tools. Understanding of experimental design principles and data analysis. Strong analytical, documentation and communication skills. Ability to work independently while contributing effectively within a multidisciplinary team. Desirable ...

significantly increase marketing spend next year. Key responsibilities: Own and develop MMM to measure channel effectiveness, diminishing returns and marginal acquisition costs. Design incrementality experiments, including geo tests and conversion-lift studies. Build and enhance Customer Lifetime Value (LTV) models. Improve marketing attribution and measurement in a privacy … accelerate analysis, experimentation and reporting. What we're looking for: Strong hands-on experience in MMM and marketing measurement. Excellent statistical, causal inference and experimental design skills. Strong SQL and Python capabilities. Understanding of paid media, attribution and customer acquisition economics. Commercially minded, with the ability ...