126 to 150 of 187 Experimental Design Jobs in England

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 ...

identify and deploy emerging technologies for controllable, automated high-throughput bioprocess models across Integrated Biologics R&D. The role blends technology development, bioengineering, experimental design and automation to create reusable miniaturised platforms for upstream/downstream processes. Collaborating with Cell Expression, Upstream, Downstream, Analytical, Automation, Digital ...

hiring a ML/Research Engineer to develop and productionize models behind the Caplia Readiness Index (CRI) and traction signals. You’ll design experiments, collaborate with Oxford Saïd Business School, and push ideas from research into scalable production code. You’ll bring a strong applied ML track record ...

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 ...

data requirements, and evaluation plans. Explore, prepare, and validate structured and unstructured data, establishing appropriate quality checks, feature definitions, lineage, and documented limitations. Design, develop, and validate statistical and machine learning solutions for tasks such as classification, regression, clustering, forecasting, segmentation, and optimization. Design experiments … measure impact, interpret uncertainty, and support sound decisions. Build and evaluate generative AI capabilities within Nexus (AWS stack), including prompt and context design, embeddings, retrieval-augmented generation, knowledge bases, and agent or tool behaviours. Write production-quality Python and SQL, and work with engineers to integrate successful solutions ...

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 ...

next generation hardware, connecting research ideas with systems running across thousands of accelerators. You’ll benchmark models, use profiling to find performance bottlenecks, design experiments and contribute fixes across models, software and accelerator systems. Working with Research, Software and Product teams, you’ll test ideas that could inform … deep learning framework such as PyTorch or JAX An understanding of deep learning architectures, optimisation, evaluation and scaling, with the ability to design, run and explain ML experiments A collaborative approach and willingness to work through unfamiliar technical problems, ask questions and take responsibility You can demonstrate these ...

next generation hardware, connecting research ideas with systems running across thousands of accelerators. You’ll benchmark models, use profiling to find performance bottlenecks, design experiments and contribute fixes across models, software and accelerator systems. Working with Research, Software and Product teams, you’ll test ideas that could inform … deep learning framework such as PyTorch or JAX An understanding of deep learning architectures, optimisation, evaluation and scaling, with the ability to design, run and explain ML experiments A collaborative approach and willingness to work through unfamiliar technical problems, ask questions and take responsibility You can demonstrate these ...

develop advanced optical test systems, working across free-space and fibre optics, photonic integrated circuits and cryogenic technologies. You will take ownership of experimental setups, from initial design and assembly through to calibration, characterisation, automation and troubleshooting. Working alongside our scientists and engineers, you will help translate … experimental results into improvements in device performance and system design. You'll have the opportunity to solve challenging technical problems, develop new measurement capabilities and contribute directly to the development of our quantum computing hardware. What You'll Be Doing Optical Test Systems: Design, build, align ...

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 ...

models used to support pricing and commercial decision-making. You'll partner closely with commercial, product, finance and engineering teams to identify opportunities, design experiments and deliver solutions that generate measurable business impact. This role combines advanced modelling with hands-on deployment, making it ideal for someone … enjoys taking ideas from concept through to production. Key Responsibilities Develop and optimise pricing and revenue-focused machine learning models. Design and evaluate experiments, including backtesting and online testing methodologies. Build predictive models to support commercial decision-making and risk assessment. Deploy, monitor and maintain production machine learning ...

industrial readiness, enabling system developers across applications to deploy the technology fast and ready. We partner with our customers and suppliers from conceptualization, design, and prototyping phases, all the way through mass production to ensure smooth and rapid deployment of TFLN photonic technology. We believe our platform … parameter analyzers, spectrum analyzers, VNAs, and switch matrices. Expertise with statistical data analysis, including topics such as exploratory data analysis, basic statistical tests, design of experiments, gauge repeatability, curve fitting, statistical process control, and machine learning. Familiarity with the working principles of photonic, semiconductor, or RF devices like ...

related subject, or equivalent industry experience. Advanced, hands-on experience with BI tools such as Power BI: data modelling, DAX measures, dashboard design and publishing, and managing refresh, security and workspaces. Advanced Power Query (M): connecting to and combining multiple sources, and cleaning and transforming large datasets. Able … with generative AI tools and agents. Data engineering experience (pipelines, data warehouses or cloud platforms). Advantage Knowledge of statistical process control and design of experiments. Proven experience analysing data in a manufacturing or high-tech environment. Advanced SQL: complex queries (joins, CTEs, window functions), views and stored ...

reality - and we’re just getting started. The Purpose Advance the performance of OQC’s superconducting quantum processors by connecting quantum theory, simulation and experimental evidence. As a Senior Quantum Engineer specialising in Processor Research, you’ll investigate the physics behind qubit behaviour, develop calibration and characterisation techniques … uncover error sources, validate physical models and establish the performance limitations of quantum hardware. The Role You’ll combine quantum modelling, scientific computing and experimental analysis to understand how quantum systems behave under realistic conditions. From Hamiltonian-based simulations to modelling decoherence, dissipation and noise, you’ll connect theoretical ...