101 to 125 of 211 Experimental Design Jobs in the UK

statistical rigor to answer business questions, drive business decisions, and develop recommendations to improve operations Collaborate with Product Managers, software engineering, data science, and data engineering partners to design and develop analytic capabilities Define and govern key business metrics, build automated dashboards and analytic self-service capabilities, and engineer data-driven processes that drive business value Navigate ambiguity … of professional or military experience 5+ years of SQL experience Experience programming to extract, transform and clean large (multi-TB) data sets Experience with theory and practice of design of experiments and statistical analysis of results Experience with AWS technologies Experience in scripting for automation (e.g., Python) and advanced SQL skills Experience with theory and practice of information More ❯

as you play a lead role in pushing for continual improvement of global embedded software development best practices. What you will do: Defines and troubleshoots system level software design proposals describing complete technical architectures and … solutions. Works with hardware engineers to help in microprocessor selection, relevant interfacing circuits and input/output communications at the module and systems level. Performs component testing of software design, verifies embedded firmware and software functionality and compatibility with hardware design. Drive quality and efficiency within the embedded software team by setting an outstanding example in terms of … high-quality design, code, and validation. Lead and facilitate high-level software estimation to support business planning activities. Interface with other engineering teams, stakeholders, and customers to understand the application space and business requirements. Act as a liaison between cross-functional teams and as a spokesman for the Software Discipline. Use outstanding communication and interpersonal skills to lead More ❯

researchers and Applied AI Engineers to ensure the seamless integration of cutting-edge LLM research with scalable, production-ready systems for life science and physical science automation. Responsibilities: Design and implement high-performance data processing infrastructure for large language model training Collaborate with researchers to implement novel data processing pipelines Develop an easy-to-use, secure, and robust … and Cloud best practices Proficiency with monitoring and logging tools (e.g., Prometheus, Grafana) Working at Lila Sciences, you would have access to advanced technology in the areas of: AI experimental design and simulation Automated liquid handling and instrumentation Location: Cambridge, MA preferred; open to remote. More About Flagship Pioneering Flagship Pioneering is a biotechnology company that invents More ❯

that ensure optimal performance and availability of thousands of workcells across Amazon’s global fulfillment center network. Key job responsibilities Primary responsibilities: -Utilize data analytics, root cause analysis, design of experiments and six sigma methods to improve reliability and availability of critical automation equipment and robotics & mechatronics systems. - - Develop and deliver impactful data-driven analyses, based on equipment … eliminate errors and defects, and optimize overall equipment performance. - Engage cross functional teams of maintenance technicians, engineers, product owners and leaders within RME to deliver structured problem solving. - Design, pilot and implement new preventative maintenance standards, interval adjustments, part replacement cycles, and work instruction streamlining based on granular analysis of reliability (MTBF, MTTR, OEE, etc.) trends across assets. More ❯

chain. Huawei has the largest 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 invite you to join us on this exciting journey … Engineering, Electronic Engineering etc. Knowledge and experience of SPC processes. Desired: Team leadership, Project management Working knowledge of E-Beam Lithography highly desirable Experience in setting up successful design of experiments (DOE) and statistical analysis. Good knowledge of InP based materials and processing High level proficiency in SPC, 6σ techniques and gauge R&R studies. Green belt certification More ❯

that ensure optimal performance and availability of thousands of workcells across Amazon's global fulfillment center network. Key job responsibilities Primary responsibilities: - Utilize data analytics, root cause analysis, design of experiments and six sigma methods to improve reliability and availability of critical automation equipment and robotics & mechatronics systems. - - Develop and deliver impactful data-driven analyses, based on equipment … eliminate errors and defects, and optimize overall equipment performance. - Engage cross functional teams of maintenance technicians, engineers, product owners and leaders within RME to deliver structured problem solving. - Design, pilot and implement new preventative maintenance standards, interval adjustments, part replacement cycles, and work instruction streamlining based on granular analysis of reliability (MTBF, MTTR, OEE, etc.) trends across assets. More ❯

product data to drive strategic decision making, improve product performance and enhance user experience through the customer acquisition journey all the way through to first trade. You will design experiments and analysis frameworks to quantify ROI of conversion initiatives. You'll help shape the conversion optimisation product roadmap through data driven recommendations, collaborating closely with Product Managers, Data More ❯

product data to drive strategic decision making, improve product performance and enhance user experience through the customer acquisition journey all the way through to first trade. You will design experiments and analysis frameworks to quantify ROI of conversion initiatives. You'll help shape the conversion optimisation product roadmap through data driven recommendations, collaborating closely with Product Managers, Data More ❯

of professional or military experience - 5+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information More ❯

of professional or military experience - 5+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. PREFERRED QUALIFICATIONS - Experience working directly with business More ❯

of professional or military experience - 5+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information More ❯

crypto landscape, to inform recommendations Define hypotheses to identify new opportunities, build business cases, and develop quantitative models to influence strategy Utilize data and insights to define changes, design experiments, and implement across products Passionately solve complex problems and build scalable processes Enhance team capabilities by improving processes and recruiting/developing team members Qualifications BA/BS More ❯

crypto landscape, to inform recommendations Define hypotheses to identify new opportunities, build business cases, and develop quantitative models to influence strategy Utilize data and insights to define changes, design experiments, and implement across products Passionately solve complex problems and build scalable processes Enhance team capabilities by improving processes and recruiting/developing team members Qualifications BA/BS More ❯

in top-tier venues (e.g., NeurIPS, ICML, ICLR) or competitive performance in ML challenges such as Kaggle or similar platforms The ability to independently formulate research questions and design experiments to answer them A desire to work on applied problems where real-world performance and feedback matter What They Offer Highly competitive compensation and generous performance-based bonuses More ❯

commercial, content etc) A drive to learn and master new technologies and techniques Nice to have: Experience in Python or R Familiarity with A/B testing and other experimental design methodologies Familiarity with techniques such as cohort analysis, funnel analysis, retention analysis, heat mapping etc. Benefits Other benefits We're pleased to offer the following benefits More ❯

Analytics Engineers and Software Engineers to collect and model relevant conversion data throughout the customer lifecycle Champion data-driven culture by sharing insights and building strong stakeholder relationships Design experiments and analysis frameworks to quantify ROI of conversion initiatives Lead by example in applying analytics best practices from data collection to analysis What you’ll need for this More ❯

5+ years of Product Management experience, with demonstrable success managing technical products, data platforms, analytics tools, or developer-focused platforms. Deep, practical understanding of A/B testing principles, experimental design, statistical concepts (e.g., hypothesis testing, statistical significance, power, confidence intervals), and common pitfalls. Strong technical fluency; ability to grasp platform architecture, and effectively collaborate with engineers More ❯

5+ years of Product Management experience, with demonstrable success managing technical products, data platforms, analytics tools, or developer-focused platforms. Deep, practical understanding of A/B testing principles, experimental design, statistical concepts (e.g., hypothesis testing, statistical significance, power, confidence intervals), and common pitfalls. Strong technical fluency; ability to grasp platform architecture, and effectively collaborate with engineers More ❯

functional teams, including researchers, engineers, and data annotators, to conduct data-driven decision-making and improve the overall effectiveness of our AI systems. This role combines expertise in statistics, experimental design incl. human annotators, and machine learning to ensure that our models are trained on high-quality data and perform reliably across diverse scenarios. You will contribute … remote-friendly! There are no restrictions on where you can be located for this role. As a Member of Technical Staff for Data Analysis and Evaluation you will: Design and oversee data collection tasks, including supporting human annotators and ensuring data quality. Develop and apply statistical methods to evaluate the quality and reliability of datasets. Analyse and assess More ❯

company-wide Own and scale the stats engines and inference tools that power experiment analysis Build and apply advanced statistical models – especially Bayesian and casual inference approaches Help design new features that make large-scale experimentation easy Act as a go-to mentor for casual inference and experimentation, mentoring others Collaborate with smart, cross-functional teams to … keep improving experiments They’re looking for: 5+ years' experience in data science, with at least 3 years at senior level Strong expertise in Bayesian statistics, causal inference, and experimental design Advanced Python programming skills and fluency in SQL Hands-on experience building or contributing to experimentation platforms or data infrastructure Familiarity with modern development tools (e.g. More ❯

you'll do: Develop, optimise and characterise plasma etching processes such as RIE and ALE in silicon nitride and related materials and with a focus on nanophotonics devices Design and execute experiments to understand etch mechanisms, selectivity, and profile control for nanoscale structures Utilise process simulation tools (e.g., Coventorware, Sentaurus, SEMuator 3D or similar) to model and predict … lithography, magnetron sputtering, PECVD, etc. Employ a range of metrology techniques (e.g., SEM, AFM, ellipsometry, reflectometry) for in-depth characterisation of material properties and measurement of nanoscale geometry Analyse experimental data, troubleshoot issues, and implement corrective actions to improve the process and device performance Collaborate closely with internal teams as well as external partners to integrate the etch processes … with the overall waveguide manufacturing flow Document experimental procedures, results, and process specifications in detail Identify opportunities to optimise or even develop materials, tools, and processes for scaling towards mass manufacturing Knowledge, Skills & Abilities: Strong theoretical understanding of plasma physics and chemistry related to dry etching Knowledge of both standard and novel materials for photonic applications along with a More ❯

company-wide Own and scale the stats engines and inference tools that power experiment analysis Build and apply advanced statistical models – especially Bayesian and casual inference approaches Help design new features that make large-scale experimentation easy Act as a go-to mentor for casual inference and experimentation, mentoring others Collaborate with smart, cross-functional teams to … keep improving experiments They’re looking for: 5+ years' experience in data science, with at least 3 years at senior level Strong expertise in Bayesian statistics, causal inference, and experimental design Advanced Python programming skills and fluency in SQL Hands-on experience building or contributing to experimentation platforms or data infrastructure Familiarity with modern development tools (e.g. More ❯

and 300mm wafer fabs. The candidate will be responsible for driving continuous improvement in product and ET/PCM yield, and supporting new process development/introduction, and design rule and test structure development for new technologies. Key tasks Responsible for developing/qualifying technology process flows and process integrations to enable meeting the product requirements for performance … reliability, and defect free manufacturing. Ensure methods and processes in place to test the devices and structures being developed. Support new designs with module characterization and design rule development. Develop and improve yield characterization and data analysis methodologies to rapidly determine yield limiters, correlation to in-line defectivity and metrology, and electrical parametric signals. Liaise with Quality Engineers … to resolve customers’ technical & yield concerns and meet the requirements. Run Design of experiments to optimize process margins and determine process & Electrical test specifications. Experience of leading engineer team, developing and delivering technology for mass production. Lead Process FMEA and Transfer FMEA. Collaborate with PDK and Design Teams on Design rule check/Design More ❯

The Opportunity We are seeking a highly skilled AI Engineer to lead the development of advanced agentic workflows that transform how scientists interact with our platform. You will design and implement autonomous systems capable of navigating complex scientific tasks—such as retrieving scientific data and designing protein binders—using natural language interfaces. In this role, you will architect … by deep technical challenges, and motivated by the opportunity to shape the future of science and technology. Who You Are Experienced software engineer with expertise in Python, API design, and distributed systems. Skilled in LLM orchestration, with hands-on experience using APIs (e.g. OpenAI, Anthropic) and frameworks like LangChain, LlamaIndex, or custom agent platforms. Proficient in intelligent information … for autonomous literature mining, disease pathway identification, and target discovery. Create agents that support scientific content generation, including hypothesis design and research writing. Develop agents for automating experimental design and orchestrating biological system validation. Work closely with scientists to translate research challenges into intelligent automation tools. Share and publish innovative applications of agentic workflows in More ❯

The Opportunity We are seeking a highly skilled AI Engineer to lead the development of advanced agentic workflows that transform how scientists interact with our platform. You will design and implement autonomous systems capable of navigating complex scientific tasks—such as retrieving scientific data and designing protein binders—using natural language interfaces. In this role, you will architect … by deep technical challenges, and motivated by the opportunity to shape the future of science and technology. Who You Are Experienced software engineer with expertise in Python, API design, and distributed systems. Skilled in LLM orchestration, with hands-on experience using APIs (e.g. OpenAI, Anthropic) and frameworks like LangChain, LlamaIndex, or custom agent platforms. Proficient in intelligent information … for autonomous literature mining, disease pathway identification, and target discovery. Create agents that support scientific content generation, including hypothesis design and research writing. Develop agents for automating experimental design and orchestrating biological system validation. Work closely with scientists to translate research challenges into intelligent automation tools. Share and publish innovative applications of agentic workflows in More ❯