26 to 50 of 74 Experimental Design Jobs in the UK excluding London

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 ...

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. ...

with generally tight deadlines.Able to carry out relevant project work in a multi-tasked, manner with daily planning.Data-driven with basic understanding of design of experiments and statistical process controlAble to effectively mentor other team members as required.Willingness to work away from home at specific customer site ...

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 ...

Foundation funded project ‘Air Quality Sensor Networks’. This project is likely to involve hierarchical Bayesian models, nonparametric Bayesian inference, graphical models, active learning, experimental design and issues in spatio-temporal inference such as non-stationarity and non-separability. The expectation is that you will produce breakthrough ...

Develop and maintain process documentation, standard operating procedures and best practices. Quality & Continuous Improvement Drive process stability, yield improvement and operational efficiency. Apply Design of Experiments (DoE), Statistical Process Control (SPC), Measurement System Analysis (MSA) and Gauge R&R. Lead structured root cause investigations using methodologies such ...

early case for them, working with the relevant teams on IP, data rights and commercial considerations. Essential Knowledge, Skills, and Experience A background in experimental science, ideally life sciences (including, but not limited to, molecular & cellular biology, microbiology, plant biology), with first‐hand knowledge of how lab work actually … problem framing through to adoption by real users, in an R&D, product or consulting setting. Structured problem solving and strong quantitative reasoning, including experimental design and working statistics. Effective communication with academic scientists, engineers and executives alike, including the ability to disagree constructively with each ...

Data team. Our Data Engineers in Autonomous Systems work within a wider project, AutoLabs. This is where EIT automates the scientific discovery loop: experimental design, execution, analysis, and the learning that feeds back into the next experiment and the lab itself. The AutoLabs data platform captures, stores … scientists to build the data layer that makes our autonomous operations possible. You will contribute to an engineering culture that values robust system design, testing, and deep collaboration, but allows flexibility for rapid prototyping and responsiveness to changing landscapes. Day-to-Day, You Might: Build high-throughput ...

experience in one or more of: quantitative systems performance analysis, statistical modelling, simulation validation, uncertainty quantification, scientific/HPC software or the theory of experimental design. - The ability to collaborate with specialists and explain both a result and the limits of the evidence supporting it. - Practical experience using … coding agents and checking their output. Experience with model discrepancy, sensitivity analysis, Bayesian methods, surrogate models or sequential experimental design would be useful. So would familiarity with computer architecture or inference systems. We welcome complementary backgrounds: strong systems engineers developing uncertainty expertise, and engineers with modelling ...

bring statistical rigour to decisions we'd otherwise make by feel. You size opportunities, design experiments, build models and ship insight that changes what we build next. What you'll build Models that quantify risk, propensity, quality and forecast key business outcomes. Experimentation frameworks used across the group. ...

of fibre handling techniques including stripping, cleaving, fusion splicing, polishing, and inspection. Experience supporting customers, manufacturing partners, or product development projects. Knowledge of Design of Experiments (DOE), product testing, and validation processes. Degree, HNC/HND, apprenticeship, or equivalent qualification in Engineering, Physics, Electronics, Photonics, or a related ...

ladder and provide key inputs into company roadmap activities. What You’ll Do: Lead complex scientific research projects from initial concept and experimental design through to implementation, analysis, reporting and technical recommendations. Work with key partners to develop quantum technologies into novel timing applications. What You Need ...

between model capability and the value derived from it keeps widening. The reasons are many, from human incentives to org design, but at the core we think it's a technology problem. Hone builds engines: AI systems that you hand a goal, like "keep the recruiting pipeline healthy. … systems from scratch as an engineer, not only papers You’ve run evals and experiments rigorously against production systems Strong fundamentals: ML evaluation, experimental design, statistics, LLM agents You use coding agents every day and still understand every line you ship You build and tinker ...

Fundamentals. We are particularly interested in developing new machine learning for research, which involves AI4Science and for health, sequential decision making and experimental design under uncertainty, and collaborative AI. Machine learning keywords include Bayesian inference, distribution shifts, generative modelling, human-in-the-loop learning, privacy-preserving learning ...

research, mentored by experienced researchers. You’ll explore topics like large-scale pretraining, efficient inference, numerics, world models and model safety. Expect to design experiments, implement models, analyze results and present findings, often as #J-18808-Ljbffr ...

role focuses on revenue model development, pricing optimization, user segmentation, and data-driven experimentation to support sustainable growth across global markets. Key Responsibilities Design and optimize game revenue models , payment structures, and in-game item systems Monitor key monetization metrics such as conversion rates, ARPU, LTV , and user … other high-monetization game business models Solid knowledge of revenue metrics, pricing frameworks, and user segmentation models Strong data analysis skills and experience with experimental design and performance evaluation Professional proficiency in English and Chinese , suitable for cross-functional and cross-regional collaboration Preferred Qualifications Experience with ...

Fundamentals, Manchester, UK. These lectureships form part of a strategic investment in fundamental AI research; candidates should have strong backgrounds in Bayesian inference, automatic experimental design, human-in-the-loop learning, machine teaching, privacy-preserving learning, reinforcement learning, and related areas. #J-18808-Ljbffr ...

Fundamentals, Manchester, UK Aug 18, 2023 Postdoc and Research Fellow positions in Machine Learning, Centre for AI Fundamentals, Manchester, UK Keywords include automatic experimental design, Bayesian inference, human-in-the-loop learning, machine teaching, privacy-preserving learning, reinforcement learning, inverse reinforcement learning, computational rationality and user modelling ...

OrderYOYO is hiring a Growth Data Analyst in Manchester to identify where orders are lost across apps, websites, and marketing channels. You will design experiments, write SQL, and present findings to decide what ships next, working with a developer, a marketing manager, and a data engineer. The role ...

Human Aware Interaction Learning (HAIL) team focused on advancing human-robot collaboration in real-world environments. The role blends hands-on robotics work, experimental design, and data analysis with direct engagement of research participants. Ideal candidates have a background in Human Factors, Cognitive Science, Psychology, or Robotics ...

Implementation of improvement projects to achieve company and group goals.* Process qualification of new or relocated equipment.* Develop robust processes through use of Design of Experiment, in order to achieve above target capability indices (Cp/Cpk) on etch processes.* Ensure appropriate and robust process control checks ...

Lead Scientist to accelerate product development for quantum RF systems in the UK. You will define scientific strategy, own physics architecture, and guide experimental design while mentoring the portfolio science team. This role combines hands-on leadership with cross-functional collaboration across engineering, science, and product teams. ...

, build and test advanced optical setups spanning free-space, fibre optics, photonic integrated circuits and cryogenic technologies. This hands-on role covers experimental design, calibration, automation and data analysis, with collaboration across scientists and engineers to translate results into improved device #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 ...