1 to 25 of 65 Permanent Experimental Design Jobs in the UK excluding London

neural recording protocols and rigs alongside the hardware team Ensure recordings meet the quality and fidelity standards our models are trained on Behavioural Neuroscience & Experimental Design Design behavioural paradigms that generate rich, well-controlled datasets Plan and oversee data collection sessions, in collaboration with technicians … Iterate on experimental design based on data quality and downstream modelling needs Data Analysis & Computational Modelling Analyse large-scale neural and behavioural datasets Build and apply computational models to characterise neural and behavioural dynamics Validate findings and communicate results clearly to the broader research team Neuroscience ...

outcomes, proofs of concept and transferable technical capability. The role will contribute novel AI methods, research assets, technical reports, publications, invention disclosures and reusable experimental approaches to Thales UK’s internal catalogue of capabilities, accelerating responsible AI adoption across programmes. The role will connect with data, digital, research … translate this into product. Highly advantageous if you’ve supported or led bids/bid requirements. Key Responsibilities and Tasks: Conduct applied and experimental AI research to solve complex customer and business problems across defence, aerospace, cyber security, rail, critical national infrastructure and related domains. Develop state-of ...

scalable quantum networking infrastructure in partnership with world‐leading companies and academic groups. About the role We’re looking for a skilled and experienced experimental Physicist, to join us in building our quantum‐network demonstrator — a cornerstone of Nu Quantum’s mission to create scalable, high‐performance quantum networks. … highly cross‐functional, hands‐on role where creative problem‐solving and system‐level thinking are essential. You’ll have the opportunity to shape experimental design, drive technical innovation, and directly contribute to the long‐term vision of making practical quantum networking a reality. If you’re excited ...

some positions available in my new research group funded by the Turing AI World-Leading Researcher Fellowship: Human-AI Research Teams: Steering AI in Experimental Design and Decision-Making. Positions are available at all stages; we seek to fill most positions now but leave some for future … of following topics are welcome, or strong expertise in one and keen interest in working with expert colleagues on the others: automatic experimental design, Bayesian inference, human-in-the-loop learning, advanced user modelling, machine teaching, privacy-preserving learning, reinforcement learning, inverse reinforcement learning, simulator-based inference ...

hiring researchers to my team working on probabilistic machine learning. Keywords include: Bayesian inference, reinforcement learning and inverse reinforcement learning, automatic experimental design, multi-agent learning, Bayesian deep learning, amortized inference, human-in-the-loop learning, user modelling, collaborative AI, privacy-preserving learning, likelihood-free inference. Different … different but related subsets of these. The work is funded by UKRI Turing AI World-Leading Researcher Fellowship programme, on “Steering AI in Experimental Design and Decision-Making”. The team is based in the new Manchester Centre for AI Fundamentals, which builds on the new ELLIS ...

products is a must Carry out data analyses to yield actionable business insights. Adhere to and advocate for data science procedures (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation). Present results to peers and senior management. Actively … statistics and machine learning. Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++) Advanced SQL knowledge. Knowledge of experimental design and analysis. Customer-centric and pragmatic attitude. Focus on value delivery and swift execution, while maintaining attention to detail. Strong partner ...

summary Autonomous Labs is building the next generation of AI-driven scientific laboratories, with the mission of automating the entire scientific discovery workflow - from experimental design and execution to analysis and iterative learning. Foundation models are a core component of this vision, enabling intelligent, adaptive, and autonomous … source the data needed to move model performance, working closely with domain experts across the laboratory to specify, collect, and curate high-value experimental datasets. Design and maintain scalable experimentation pipelines for model training, evaluation, benchmarking, and reproducible research. Analyse experimental results using rigorous scientific methodologies ...

Private sector clients. We are recruiting for a Senior Data Science Engineer to support our mission. We work at the intersection of strategy, design, and technology to solve complex problems and create lasting value. Our collaborative and agile culture empowers our teams to make a genuine impact. … Natural Language Processing (NLP) to areas such as information retrieval. Proven ability to design, build, and optimise recommender systems. Strong experience in experimental design, including A/B testing and randomised control trials. About The Company Alongside working with some of the most talented people ...

inner error-detection and outer error-correction layers. The Role Working within OQC’s Quantum Science & Exploratory Research team, you’ll combine hands‐on experimental physics, scientific software development and quantum processor characterisation. You’ll take ownership of research and development projects across their full lifecycle—from designing experiments … correction. This role may involve occasional domestic and international travel for scientific conferences and collaborative research programmes. What You’ll Be Working On Develop experimental measurement methods to characterise quantum error‐correction components and subroutines. Bring up, calibrate and evaluate novel research devices, often operating prototype hardware in unconventional ...

Science team Hybrid 80% homeworking and 20% from Stratford Upon Avon About the role As a Data Scientist at NFU Mutual, you'll design, develop and deploy advanced analytical, machine learning and AI solutions to solve complex business problems. Working across customer, claims, strategy and underwriting domains … experience with a commitment to develop your Python capability, plus complex data analysis and data quality assurance Strong knowledge of statistical methods and experimental design, with experience designing, building and implementing machine learning solutions, particularly predictive models Experience with modern business intelligence platforms such as Power ...

performance of future quantum processing units. The Role You’ll be a senior member of our Quantum Science & Exploratory Research team, combining hands‐on experimental research with technical leadership, project ownership and mentoring. Working across superconducting quantum circuits, processor characterisation, calibration, benchmarking and cryogenic measurement systems, you’ll investigate … qubit design, packaging and quantum‐processing infrastructure. You’ll also help shape the QSER roadmap, coordinate the resources required to deliver experimental programmes and support the development of Quantum Engineers across the team. What You’ll Be Working On Lead complex scientific research projects from initial concept ...

cell chemistry, cell manufacturing processes and battery performance characterisation. Experience of manufacturing traceability, genealogy and process capability analysis. Exposure to Six Sigma, Design of Experiments (DOE), Statistical Process Control (SPC) or robust engineering methods. Experience using Siemens Insights Hub, Siemens Xcelerator, Databricks, Power BI or equivalent industrial analytics ...

waste forecasting, customer segmentation, recommendation engines). Build feature sets and establish reusable data science pipelines and validation checks. Apply causal inference and experimental frameworks (A/B testing) to isolate true business impacts from baseline operational noise. Uphold strict compliance with data governance, privacy legislation, and ethical … trees). Advanced SQL: Excellent SQL skills to extract, transform, and profile large-scale datasets from cloud data marts. Causal Inference & Experimentation: Understanding of experimental design and causal inference methods to measure true trial interventions versus background trends. Data Storytelling & Visualisation: Ability to translate complex algorithmic outputs ...

predictive modelling, lifetime value prediction, churn analysis, marketing attribution and channel optimisation. Partner with marketing stakeholders to test, learn and optimise campaigns through experimental design and/or causal inference methods. Create dashboards and data products that enable self-serve analytics and real time insights for marketing … modelling. Proficiency in SQL, Python, R, PySpark and dashboarding in PowerBI/Looker. Experienced running Geolift test, causal inference model, and other forms of experimental design. Solid foundation in machine learning, statistics, econometric modelling,analytical and problem solving skills Strong communication skills with the ability to translate complex data ...

quantum RF (QRF) systems in the UK. The Lead Scientist is the scientific authority within a portfolio, responsible for the physics-led direction, experimental strategy, scientific performance, technical interpretation, and scientific risk management. The role combines hands on technical leadership with team leadership and review, ensuring that experimental … project manager to document these clearly in the risk register along with mitigation strategies. Provide hands on technical leadership where required, including review of experimental plans, results, and technical conclusions. Lead, mentor, and line-manage the portfolio science team. Work closely with the engineering team to ensure scientific requirements ...

operate as a senior individual contributor with growing technical leadership responsibilities. Key responsibilities Search & Retrieval Development Play a leading role in the design and optimization of lexical, vector, and hybrid retrieval systems at scale. Help architect and improve RAG pipelines, including retrieval strategies, prompt design … recall, ranking quality) GenAI evaluation (e.g., grounding, faithfulness, hallucination detection) Contribute to development of evaluation datasets, gold standards, and annotation strategies. Guide and review experimental design, including offline evaluation and A/B testing, ensuring statistical rigor and validity. Contribute to responsible AI practices, including bias, fairness ...

program in Statistics, Biostatistics, Computer Science, Mathematics, Operations Research, or a related technical field involving experimental design and quantitative analysis of experimental data, and in your penultimate year of study. Experience working with datasets using Python, R, SAS, MATLAB, or other statistical software. Experience with methods ...

Engineer to join our high-density liquid cooling R&D team in Edenbridge, UK. The successful candidate will independently lead test design, experimental analysis, and development of next-generation liquid cooling solutions for data centre and critical infrastructure applications. This role involves hands‐on laboratory work, test … engineering teams to advance Vertiv's thermal management product portfolio. Responsibilities Design, set up, operate, and maintain liquid cooling test rigs and experimental apparatus in accordance with Vertiv Engineering SOPs and Standard Work procedures. Lead and execute product performance test design and validation protocols ...

processors through advanced control theory, pulse optimisation and rigorous processor characterisation. You’ll develop and validate techniques that improve gate fidelity and stability, turning experimental breakthroughs into scalable calibration capabilities while providing insight that shapes future chip design. The Role As a Quantum Engineer specialising in control … experimentally validate high-fidelity single- and two-qubit operations. Design, optimise and benchmark pulse shapes using quantum control, numerical optimisation and experimental techniques. Characterise gate error mechanisms, including coherent error, leakage, crosstalk, drift and control-chain distortion. Build robust experimental pipelines, data-analysis workflows and performance ...

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 ...

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 ...

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 ...

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 ...