1 to 25 of 37 Experimental Design Jobs in the UK

Java, C++).* Advanced SQL knowledge.* Experience with modern ML engineering practices including MLOps, model lifecycle management, CI/CD, and monitoring.* Knowledge of experimental design, analysis, and scientific methodology.* Customer-centric and pragmatic mentality with a focus on value delivery and swift execution, while maintaining rigour … emphasis on building deployable ML products from scientific research (e.g. simulation, optimisation, physics-informed models).* Familiarity with model interpretability, uncertainty quantification, and advanced experimental methodologies.* Consistent track record of publications, invention disclosures (IDFs), or patents in machine learning or AI.* No prior experience in the energy industry required.## ...

Java, C++). Advanced SQL knowledge. Experience with modern ML engineering practices including MLOps, model lifecycle management, CI/CD, and monitoring. Knowledge of experimental design, analysis, and scientific methodology. Customer-centric and pragmatic mentality with a focus on value delivery and swift execution, while maintaining rigour … emphasis on building deployable ML products from scientific research (e.g. simulation, optimisation, physics-informed models). Familiarity with model interpretability, uncertainty quantification, and advanced experimental methodologies. Consistent track record of publications, invention disclosures (IDFs), or patents in machine learning or AI. No prior experience in the energy industry required. ...

systems, model lifecycle management, and monitoring. Experience working with large-scale data systems and distributed computing frameworks (e.g. Spark, Hadoop). Knowledge of experimental design, scientific methodology, and analysis. Strong partner management and confirmed ability to influence large organisations without direct authority. Demonstrated ability to lead through … Experience building ML platforms, reusable scientific computing frameworks, or internal tooling that accelerates delivery across teams. Familiarity with model interpretability, uncertainty quantification, and advanced experimental frameworks. No prior experience in the energy industry required. What We Offer [Complete by TA/HR with local benefits and compensation details] Competitive ...

/ML Solution Delivery: Hands on end-to-end development and deployment of both traditional and GenAI-based machine learning models, including discovery analytics, experimental design, model development, benchmarking, enhancement and deployment. LLM & RAG Integration: Design and implement new Retrieval-Augmented Generation (RAG) pipelines … frameworks, applying advanced techniques in data chunking/splitting, vectorization, knowledge graph representation (GraphRAG), and query retrieval and evaluation. Model Evaluation & Prompt Engineering: Design and execute experiments to benchmark and evaluate model performance using both classical metrics (precision, recall, F-score) and GenAI-specific techniques ...

/ML Solution Delivery:** Hands on end-to-end development and deployment of both traditional and GenAI-based machine learning models, including discovery analytics, experimental design, model development, benchmarking, enhancement and deployment.* **LLM & RAG Integration:** Design and implement new Retrieval-Augmented Generation (RAG) pipelines … frameworks, applying advanced techniques in data chunking/splitting, vectorization, knowledge graph representation (GraphRAG), and query retrieval and evaluation.* **Model Evaluation & Prompt Engineering:** Design and execute experiments to benchmark and evaluate model performance using both classical metrics (precision, recall, F-score) and GenAI-specific techniques ...

ready to operate as a senior individual contributor with growing technical leadership responsibilities. Key responsibilities 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, and system … 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 ...

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 ...

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 ...

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 ...

with Azure DevOps and cloud-based ML infrastructure (Azure, AWS, or GCP) is beneficial. Strong grounding inclassical data science fundamentals — feature engineering, statistical analysis, experimental design, and model monitoring — alongside benchmarkingand the evaluation of non-deterministic AI systems. Practical experience with inferenceoptimisationincludingquantisation, latency reduction, cost-aware model ...

improved data quality, structure and standardisation. Drive adoption of strategic digital solutions by working with end users, supporting early-stage discovery, shaping solution design, and ensuring successful deployment into day-to-day workflows. Expand and optimise digital ecosystems , integrating new data sources and converting fragmented datasets into scalable … This position is a hybrid of office/remote working Skills: Agility core practices, Agility core practices, Analytical Thinking, Artificial intelligence, Creating new methodologies, Experimental Design, Formulated product testing, Formulation Deployment, Formulation design, Influencing, Intellectual Asset Management, Multi-physics modelling, Presenting, Product Development, Product Sustainability ...

This position is a hybrid of office/remote working Skills: Agility core practices, Agility core practices, Analytical Thinking, Artificial intelligence, Creating new methodologies, Experimental Design, Formulated product testing, Formulation Deployment, Formulation design, Influencing, Intellectual Asset Management, Multi-physics modelling, Presenting, Product Development, Product Sustainability ...

fastest possible time. BASIC QUALIFICATIONS - 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 in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of ...

deployment and ongoing monitoring. Translate ambiguous business problems into hypothesis‐driven data science solutions, grounded in statistical rigour and practical feasibility. Lead the design and deployment of machine learning models, ensuring they are robust, explainable, and operationally viable. Provide technical oversight across projects, with a strong focus … plus, but not required. We particularly value depth in applied data science areas such as: Customer analytics (segmentation, churn, LTV) Pricing and optimisation models Experimental design and causal inference Natural Language Processing (within a traditional ML framework as well as LLM‐based approaches) Other information ...

data science and machine learning Expert‐level Python programming with a focus on implementing diverse statistical and ML techniques Deep theoretical foundation in statistics, experimental design, and advanced modelling Proven track record of deploying end‐to‐end data science solutions into production Leadership and mentorship capabilities ...

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 ...

want to develop your skills in this area, we’d love to hear from you! Responsibilities and Duties Generate AI/ML ideas, design experiments, implement them & evaluate results. Prepare, submit & present your work to AI conferences and workshops. Provide technical insight to internal teams by designing experiments ...

learning and deep learning methods Hands‐on experience building agentic AI/multi‐agent systems within regulated or compliance‐driven environments Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals, with a focus ...

content metadata, customer context, and experimentation. This is an applied product data science role. You will personally build, deploy, and operate recommendation models, design experiments, establish evaluation methodology, and define the scientific roadmap. You will partner closely with software engineers who own the production recommender codebase and with ...

confounding variables in observational datasets Develop robust statistical approaches to estimate causal impact across a range of client challenges Translate business questions into structured experimental designs and analytical approaches Partner with cross-functional teams to embed data science into product, marketing and consulting initiatives Communicate findings clearly, turning complex … Qualifications Skills we're looking for: Strong grounding in statistics and quantitative methods, supported by relevant academic or professional experience Hands-on experience applying experimental design and causal inference techniques to real-world data Understanding of modern approaches to uncertainty estimation in machine learning (e.g. conformal prediction ...

Anthropic), fintechs, scale‐ups, and major corporates. Skills & Qualifications Reading and implementing academic papers. Communication of complex technical concepts to non‐technical stakeholders. Rigorous experimental design and analysis. Comfortable with uncertainty and dead‐ends. Continuous learning across rapidly evolving methods. UK Salary Ranges UK AI/… production deployment, specialising in a domain (NLP, vision, recommender systems, time‐series). Senior ML Engineer/Senior Scientist – Lead the technical design of major ML systems; mentor a small group of engineers/scientists and own cross‐team ML strategy. Staff/Principal ML Engineer ...

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 ...

learning and deep learning methods. Hands‐on experience building agentic AI/multi‐agent systems within regulated or compliance‐driven environments. Ability to design experiments and training frameworks, outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals, focusing on agentic systems ...

evaluations, guiding technical discussions from discovery through proof of concept. Partner directly with data scientists, engineers, and technical leaders to advise on experiment design, statistical methodology, measurement frameworks, and experimentation architecture. Help customers build scalable and trustworthy experimentation programs by educating teams on best practices in experimentation, metric … market feedback. Minimum Qualifications 5+ years of experience in Data Science, Experimentation, Analytics, Applied Statistics, or a related field with a strong foundation in experimental design and causal inference. Hands‐on experience designing, running, and analyzing A/B tests and applying advanced experimentation methodologies, including variance ...

evaluations, guiding technical discussions from discovery through proof of concept. Partner directly with data scientists, engineers, and technical leaders to advise on experiment design, statistical methodology, measurement frameworks, and experimentation architecture. Help customers build scalable and trustworthy experimentation programs by educating teams on best practices in experimentation, metric … minimum, you need 5+ years of experience in Data Science, Experimentation, Analytics, Applied Statistics, or a related field with a strong foundation in experimental design and causal inference. Hands-on experience designing, running, and analyzing A/B tests and applying advanced experimentation methodologies, including variance reduction ...