76 to 100 of 116 Experimental Design Jobs in London

transfers, identify friction, and shape product decisions that scale for millions of customers. Collaborating with Product Managers and Engineers, you’ll size opportunities, design experiments, and define success metrics. You’ll translate complex findings into clear recommendations that influence priorities and product direction. #J-18808-Ljbffr ...

hiring a research-focused engineer to develop agentic AI systems across heterogeneous models and hardware, turning theory into scalable infrastructure. You will design experiments, analyze memory and task decomposition, and build observability tools that the whole company uses. Strong communication and rigorous discipline are essential. Join a team ...

highly motivated Research Scientist to advance mechanistic interpretability of large language models, exploring self-conceptions, theory of mind, and model cognition. You will design experiments and collaborate with cross‐functional teams to push understanding of Gemini and related models. The role emphasizes publishing findings, communicating complex ideas ...

DeepMind in London is seeking a Research Scientist to advance multisensor robotics, RL/IL/VLA models, and scalable deployment. You will design experiments, prototype architectures, and push the boundaries of embodied AI across real-world tasks. Collaborating with global teams, you will publish findings and contribute ...

Work spans single-cell data, multi-omics, and cutting-edge ML tooling in a matrixed, interdisciplinary team. You will advance generative modelling to guide experimental design and real-world interventions, collaborating across biology, computation, and engineering with a strong emphasis on causal, mechanistic insights. #J-18808-Ljbffr ...

this position, now or in the future. Responsibilities Own the simulator Own and develop our SimPy-based discrete-event simulator, including its logic, design choices and the fragile areas that need care. Pay down technical debt: improve test coverage, code quality, reproducibility and developer tooling. Build the experiment … based agents, including simulation for RL and Gym-style environments. Strong Python and software engineering fundamentals: testing, code review, maintainable and reproducible code. Rigorous experimental and statistical thinking: benchmarking, tuning, ablations, uncertainty.Experience in robotics, logistics, warehouse or other operations-heavy domains. Publications in major AI, ML, robotics or vision ...

visa sponsorship for this position, now or in the future.ResponsibilitiesOwn the simulatorOwn and develop our SimPy-based discrete-event simulator, including its logic, design choices and the fragile areas that need care.Pay down technical debt: improve test coverage, code quality, reproducibility and developer tooling.Build the experiment infrastructure around … training simulation-based agents, including simulation for RL and Gym-style environments.Strong Python and software engineering fundamentals: testing, code review, maintainable and reproducible code.Rigorous experimental and statistical thinking: benchmarking, tuning, ablations, uncertainty.Experience in robotics, logistics, warehouse or other operations-heavy domains.Publications in major AI, ML, robotics or vision venues ...

intellectually curious Data Scientist who is energized by hard problems in fraud and financial crime . You'll prototype and ship ML models, design experiments, and uncover new fraud signals across our ecosystem — partnering closely with engineers, product managers, and analysts to turn your work into production-grade … systems . Responsibilities: Prototype, evaluate, and help produce machine learning models for fraud detection; own their ongoing monitoring and retraining cycles . Design and run experiments to measure the impact of fraud interventions, balancing customer experience against loss reduction . Size fraud typologies across our product lines ...

repayment and credit outcomes Build and maintain the dashboards, metrics and data models that Product, Credit and Operations rely on Form sharp hypotheses, design experiments (journey changes, pricing, A/B tests) and measure the impact rigorously Get to the root cause of anomalies quickly, whether the cause … discovery, delivery and partner onboarding Launch readiness & operations Define success criteria for each launch and the metrics that show whether it's working Design test scenarios, including edge cases and failure modes, and test the end-to-end customer journey before release Work closely with QA to make ...

methods for understanding speaking delivery across voice, facial expression and body language. You will turn promising research into practical experiments and product improvements, design experiments, evaluation methods and calibration studies, and prototype new scoring and coaching techniques. The role supports remote/hybrid work within the UK (London ...

seeking a Member of Technical Staff to advance robot learning, enabling robots to acquire new skills from a single demonstration and to design experiments on representation learning for in-context imitation learning. You will work closely with the team to scale training, evaluate policies on real robots ...

biology and health, building systems that can accelerate discovery and cure disease. We train frontier models to reason from incomplete evidence and design experiments, with a mission to enable biological superintelligence and powerful new therapies. Early hires will receive significant ownership, a strong compensation package, and extensive tooling ...

build simple, reliable and intuitive solutions. Prioritise improvements by weighing client value, business impact, effort and risk. Define success metrics, analyse results and design experiments that help us make better decisions. Take ownership of features from discovery through launch and iteration, with support from senior colleagues. Spot confusing … other project that people have chosen to use, with evidence of how you improved it from feedback. Strong foundations in statistics, probability and experimental design. Ability to code in Python or JavaScript, or create interactive prototypes in Figma. A thoughtful understanding of investing products and the trade-offs between ...

approaches, bespoke solutions to complex customer problems, and infrastructure projects working across large customer datasets. As a Senior ML Engineer, you will design, develop, and iterate on machine learning models that support national security objectives. You will collaborate with Data Scientists, Software Engineers, Product Management and Government business … develop, you'll be doing it for an organisation who makes a huge impact to the security of the UK. Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications Lead experimentation cycles: define hypotheses, design ...

approaches, bespoke solutions to complex customer problems, and infrastructure projects working across large customer datasets. As a Senior ML Engineer, you will design, develop, and iterate on machine learning models that support national security objectives. You will collaborate with Data Scientists, Software Engineers, Product Management and Government business … develop, you’ll be doing it for an organisation who makes a huge impact to the security of the UK. Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications Lead experimentation cycles: define hypotheses, design ...

individual contributor, you will be the single owner of our AI value methodology. This isn’t a spreadsheet or PMO role; you will design the frameworks, build the automated measurement systems, and tell the data‐driven story of how AI is changing our airline. Requirements of the Role … Responsibilities Find and Capture Value: Spot where AI creates value across easyJet, design automated systems to capture that value as work happens and establish baseline performance metrics before AI is introduced. Measure the Impact: Partner with product teams to design experiments, A/B tests ...

staffed by a multidisciplinary team of more than 50 scientists and engineers. As an Automation Scientist at LabGenius, you will spearhead the design, development, and optimisation of cutting‐edge automation techniques pivotal to the next frontier in therapeutic antibody discovery. We're at the exciting intersection of synthetic … integrate automation scripts into our platforms and will maintain documentation, including protocols and technical laboratory reports. You will be involved in the interpretation of experimental results, and recommendation of subsequent experiments or optimizations. You will stay abreast of advancements in lab automation and molecular biology, ensuring LabGenius remains ...

cellular foundation models and complex biological data. You will research model architectures and training approaches, adapt models to priority discovery questions, and work with experimental teams to validate predictions. The role combines hands‐on method development with delivering reproducible tools for scientists. You will guide junior colleagues and share … model‐evaluation skills, including appropriate baselines, validation design, batch effects, confounding, and uncertainty assessment. Ability to own research projects and collaborate with experimental and computational colleagues to translate biological questions into useful models. Clear written and verbal communication of methods, limitations, and biological implications to audiences with ...

push the boundaries of what's possible. As a Software Engineering Lead in our AI/ML Solutions Team, you will architect, design, and deliver secure, high-quality production software systems. You will collaborate with product and business teams to set technical vision and execute strategic roadmaps … drive adoption of enterprise-authorized AI-assisted engineering practices and promote consistent validation standards across the team. Job Responsibilities: Execute creative software solutions, design, development, and technical troubleshooting, thinking beyond conventional approaches. Develop secure, high-quality production code, review and debug code written by others. Lead a local ...

harness design. These core pillars enable efficient scaling at training and test time to unlock scientific discovery. Lila’s scale and unique focus on experimental science means solving novel problems and building infrastructure that scales. What You'll Be Building Design and prototype new harness capabilities — context … navigate ambiguity. Familiarity with core concepts and algorithms in reinforcement learning. Solid software engineering fundamentals — clean code, version control, testing, and ability to integrate experimental work into shared infrastructure. Bonus Points for Strong publication track record at conferences such as NeurIPS, ICML, and ICLR. Background in biology, chemistry ...

life science applications, and model safety and interpretability. Across all these directions, you’ll come up with new ideas, implement models and algorithms, design experiments, and present your findings (often in the form of a paper). You’ll have room to follow promising ideas and help shape … Mentoring and open research discussions will give you opportunities to explore ideas, get feedback and decide which questions to pursue. Decisions are shaped by experimental evidence and technical discussion. As an intern, you’ll be encouraged to ask questions, challenge assumptions and share results early, with support from experienced ...

organisation's Marketing Mix Modelling (MMM) framework using modern modelling techniques. Deliver actionable insights on marketing effectiveness, media performance, and budget allocation. Design and evaluate incrementality testing programmes, including lift studies and geo-based experiments. Partner with Marketing teams to improve attribution, measurement, and channel performance. Build … measurement, or advanced marketing analytics. Excellent understanding of experimentation, incrementality testing, and causal inference methodologies. Strong statistical knowledge, including hypothesis testing, regression analysis, and experimental design. Advanced SQL skills and experience working with Python for analytics and modelling. Experience using modern data platforms and cloud-based analytics environments. Ability ...

chance to make a measurable impact. The Role Own and enhance the Marketing Mix Model (MMM) to measure channel effectiveness and marginal returns. Design and evaluate incrementality tests, conversion lift studies, and geo experiments. Improve attribution and marketing measurement frameworks. Build and maintain Customer Lifetime Value (LTV) models … Your Skills & Experience Strong experience in marketing measurement, MMM, incrementality testing, or experimentation. Excellent statistical knowledge including causal inference, hypothesis testing, regression analysis, and experimental design. Strong SQL skills with experience working in modern analytics environments. Experience with Python and tools such as Snowflake and dbt. Understanding of attribution ...

product requirements, enabling dependency management and planning across complex, multi-team product development. Collaborate with suppliers and internal cross-functional peers (e.g. engineering, design, data science, commercial, etc.) to deliver customer-centric products and experiences. Influence at all levels—align stakeholders, drive decisions in ambiguity, and communicate clearly … have a proven track record owning strategy, roadmap and key metrics for your product area. You demonstrate data fluency: you define metrics, design experiments, interpret results, and use insights to make trade-offs; comfort with analytics tools/SQL is a plus. You have technical acumen to partner ...

clear product requirements, enabling dependency management and planning across complex, multi-team product development.Collaborate with suppliers and internal cross-functional peers (e.g. engineering, design, data science, commercial, etc.) to deliver customer-centric products and experiences.Influence at all levels—align stakeholders, drive decisions in ambiguity, and communicate clearly with … thinker and have a proven track record owning strategy, roadmap and key metrics for your product area.You demonstrate data fluency: you define metrics, design experiments, interpret results, and use insights to make trade-offs; comfort with analytics tools/SQL is a plus.You have technical acumen to partner ...