51 to 75 of 184 Experimental Design Jobs in the UK

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 ...

candidate has a background in artificial intelligence, machine learning, applied mathematics, computer science, or theoretical physics. They will develop advanced algorithms based on Bayesian experimental design, variational Bayesian inference, and reinforcement learning to enable quantum sensors to autonomously decide what measurement to perform next, learn from incoming … tuned to the specific preferences of the candidate but will involve for example interviews, talks for the general public and preparation of experimental demonstrators. Education, Qualifications and Experience Essential Criteria A PhD in computer science, electrical engineering, theoretical physics or related subjects (or expected to be awarded ...

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 ...

statistical analysis. Preferred qualifications: 2 years of experience managing an Analytics or Data Science team, including prioritisation, roadmapping, coaching and performance management. Experiences with experimental design and supervised/unsupervised ML approaches for regression and classification tasks. Experience of root cause analysis to ensure that problems ...

practical experience applying machine learning techniques to prediction problems, with a clear understanding of overfitting risks and robust model validation. Deep understanding of statistics, experimental design, hypothesis testing, and research methodology. Strong programming skills in Python. Excellent communication and collaboration skills, with the ability to work effectively ...

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 ...

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 ...

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 ...

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 leading experimental design projects or Research and Development initiatives. Experience with UI/UX systems or mechanics that focuses on player accessibility and cognitive load ...

Operations, Data & Analytics, Security & Quality Compliance, Transformation, Application Development, and Enterprise Platforms. Key Responsibilities Job Overview 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 ...

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 ...

Develop alpha signals and trading features based on order flow, liquidity, queue dynamics, price formation, cross-venue behavior, and short-horizon market response. Design, backtest, and implement market-making and risk-taking strategies, including pricing, order placement, cancellation, queue-position management, fill-probability estimation, and inventory control. Develop … deployment. Strong programming and data-analysis skills in Python; proficiency in C++ or another high-performance language is highly desirable. Demonstrated rigor in experimental design and evaluation-ability to separate economically meaningful effects from overfitting, leakage, optimistic fills, and regime-specific artifacts. Preferred Qualifications, Capabilities, and Skills ...

pricing decisions at the same rigor the team already uses for VP measurement: difference-in-differences, CausalImpact/BSTS-style approaches, or comparable quasi-experimental design, with suppression and substitution effects accounted for rather than a naive before/after comparisonRun two to three workstreams concurrently with ...

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 ...

generation of breakthrough experiences. If you are a systems-thinker who views AI not just as technology, but as a brand-new design material, we want you on the team. Inception runs like a startup, balancing high energy idea generation with pragmatic, clear and regularly refined operations. This … more shipped commercial titles. Experience architecting agentic workflows and implementing generative AI models within a game production or software development pipeline. Experience leading experimental design projects or Research and Development initiatives. Experience with UI/UX systems or mechanics that focuses on player accessibility and cognitive load ...

of scientific or engineering expertise. Assess the technical accuracy, completeness, logical reasoning, and practical applicability of AI outputs. Review scientific analyses, engineering solutions, calculations, experimental methodologies, and technical explanations. Compare multiple AI-generated responses and determine which solution best meets professional standards. Identify inaccuracies, methodological flaws, statistical errors … Expertise: Hands-on experience working with real-world scientific or engineering data, including: Instrumentation and test data Measurement and sensor outputs Laboratory records and experimental datasets CAD models and engineering drawings Simulation and modelling outputs Scientific or analytical software outputs Experience using one or more relevant technical tools such ...

other incrementality tests that show, with real statistical rigour, what's driving growth and what isn't. You'll take these from initial design through to the final recommendation, and you'll be the person other teams planning, strategy, digital, data science come to for a straight answer … used to read digital campaign performance Grow the measurement team's capability and mentor more junior analysts What you'll need: Solid grounding in experimental design and causal inference — you've actually run tests like this before, not just read about them Comfortable moving between econometrics, digital ...

other incrementality tests that show, with real statistical rigour, what's driving growth and what isn't. You'll take these from initial design through to the final recommendation, and you'll be the person other teams planning, strategy, digital, data science come to for a straight answer … used to read digital campaign performance Grow the measurement team's capability and mentor more junior analysts What you'll need: Solid grounding in experimental design and causal inference — you've actually run tests like this before, not just read about them Comfortable moving between econometrics, digital ...

identify, assess and recommend opportunities to optimise business performance. Analyse large and complex datasets to uncover trends, risks and commercially valuable insights. Design and develop meaningful business metrics and measurement frameworks. Use SQL to extract, manipulate and analyse data. Synthesise information from multiple sources and translate findings into … Experience analysing and managing large or complex datasets. Strong statistical analysis and data-synthesis capabilities. Experience designing metrics, dashboards and business reports. Understanding of experimental design and data-led decision-making. Ability to turn analytical findings into persuasive business recommendations. Strong presentation and data-storytelling skills. Good ...

gain hands-on experience working alongside senior researchers and industry experts in a collaborative environment. You will be involved in data collection, algorithm development, experimental design, and analysis, contributing directly to research outputs that have real-world applications. This role is ideal for fresh graduates ...

United States Digital Space LLC in London is seeking a Junior Data Scientist to design experiments and build statistical models guiding how we reach new customers in sales and marketing. You will work under the mentorship of the team’s data scientist, collaborating with analysts, software engineers ...

under demanding real-world workloads. You will work on problems where answers aren't readily known, turning curiosity into measurable evidence. You will design experiments, benchmark representative AI workloads and explore how hardware components and software interact at scale. When behaviour is unexpected, you will turn this into ...

capability Understand common statistical-learning models and machine-learning algorithms for classification and regression Have sound statistical fundamentals, including hypothesis testing and experimental design Can independently take an ambiguous problem from discussion to a useful model or analysis Communicate clearly and confidently with technical and non-technical ...

L. What you'll do Translate ambiguous business problems into modelable formulations Build, evaluate and ship classical ML and modern LLM solutions Design experiments and causal analyses to quantify impact Own model monitoring, drift detection and lifecycle in production Communicate insights to executive stakeholders with clarity What ...

development and application of advanced computational, engineering, and quantitative approaches to biological systems. The role involves close collaboration with cross-disciplinary teams, integrating experimental and computational methodologies to generate new insights into biological processes and disease mechanisms. Key responsibilities include designing and conducting high-quality research, developing analytical … computational pipelines, contributing to experimental design, and interpreting complex datasets. The post holder will also be expected to disseminate findings through peer-reviewed publications, conference presentations, and collaborative engagements. The position offers access to state-of-the-art facilities and a vibrant academic environment that supports innovation ...