26 to 50 of 165 Experimental Design Jobs in England

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 ...

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 ...

decisions are made and reviewed. Provide the guidance, tooling and protocols that improve your partner teams' experimentation velocity without sacrificing rigour. Lead the design of experiments where a standard A/B test is not sufficient, including low-traffic surfaces, users competing for the same supply, long‐horizon … with a proven track record of supporting and influencing a product organisation. Statistical & Experimentation Expertise: Authoritative command of experimentation in all its forms, from experimental design and variance reduction to causal inference, bandits and Bayesian methods. You should be able to develop and validate methodology, not only ...

research experience in the field Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit‐Learn, Pandas) Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals Hands on experience building ...

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 ...

take months to appear. You will: Set the technical standard for experimentation across Product Data Science, from conventional A/B testing to quasi-experimental and Bayesian methods, and make it practical through protocols, frameworks and tooling. Partner with Product, Engineering and Data Platform teams to improve experimentation velocity … with a proven track record of supporting and influencing a product organisation. Statistical & Experimentation Expertise: Authoritative command of experimentation in all its forms, from experimental design and variance reduction to causal inference, bandits and Bayesian methods. You should be able to develop and validate methodology, not only ...

agentic AI/multi‐agent systems within regulated or compliance‐driven environments Recent hands‐on experience training, deploying models and pipelines 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 ...

will collaborate closely with engineering and infrastructure teams to optimize GPU utilization, workload scheduling, and system efficiency in real time. You will design experiments, analyze large-scale system telemetry data, and build predictive and optimization solutions that are tightly integrated into production workflows. This role blends hands ...

/keras, langchain). R and C++ optional. Experience with version control (GitHub) ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer vision Ability to write production code and object-oriented programming ...

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 ...

build and operate production AI. As a Vice President Machine Learning Data Scientist in Payments Machine Learning, you will lead the design, development, and production deployment … of machine learning applications, including generative AI and agentic systems, on cloud infrastructure. You will own end-to‐end delivery from problem framing and experimental design through scalable MLOps, evaluation, governance, and integration with strategic systems. You will help set technical direction, establish reusable patterns, and ensure ...

build and operate production AI. As a Vice President Machine Learning Data Scientist in Payments Machine Learning, you will lead the design, development, and production deployment … of machine learning applications, including generative AI and agentic systems, on cloud infrastructure. You will own end-to-end delivery from problem framing and experimental design through scalable MLOps, evaluation, governance, and integration with strategic systems. You will help set technical direction, establish reusable patterns, and ensure ...

Practice Group/Department Legal Innovation, Design & Technology - London Job Description Norton Rose Fulbright is a global law firm with more than 3,000 lawyers advising clients across locations in the United States, Europe, Canada, Latin America, Asia, Australia, Africa and the Middle East. We provide a full … comparable tools. Experience with search indexes, vector databases, graph databases, knowledge graphs, ontologies or master-data-management techniques. Experience with MLOps, model monitoring, experimental design, causal inference, forecasting, recommendation systems or optimisation. Experience with legal, financial, client, market or professional-services data, especially licensed external data ...

multi‐agent systems in regulated or compliance-driven environments Recent hands‐on experience training and deploying models and pipelines Ability to design experiments and training frameworks, and define and evaluate intrinsic and extrinsic model-performance metrics aligned with business goals, focusing on agentic systems and LLM evaluation Experience ...

learning and deep learning methods Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals Experience with big data ...

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 ...

patterns, with a proven track record of optimizing funnel conversion, retention cohorts, and Customer Lifetime Value (LTV). Strong foundation in statistical analysis and experimental design (A/B and multivariate testing), with the ability to define rigorous testing frameworks to validate product and programming improvements. Strong ...

position where you’ll work embedded within the client’s team, requiring strong autonomy, initiative, and the ability to represent CI&T professionally Design, implement, and analyze A/B tests to measure product and feature performance Apply statistical methods to ensure test validity and generate actionable insights … data into clear, compelling visual narratives Working Style: Demonstrated autonomy, initiative, and ability to work independently in client environments Statistical Analysis: Strong capability in experimental design, A/B testing methodologies, and statistical inference Advanced SQL for complex queries and data manipulation #J-18808-Ljbffr ...

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 ...

develop horizontal capabilities through APIs, libraries, and thought leadership. You will collaborate with Line of Business AI teams to address priority use cases, design and build services, and promote best practices in AI. Your role will involve mentoring a team of AI engineers and ensuring the firm stays … have worked in one of the top commercial AI research labs Deep understanding of AI fundamentals and practical experience with data analysis and experimental design Recent hands-on experience training, deploying models and pipelines Familiarity with distributed computing patterns for training, serving, persistence of state Experience ...

customer experiences. Задачи: Lead deep-dive analysis across customer funnels and journeys to identify opportunities to improve conversion, engagement, and retention; Own the design, execution, and evaluation of A/B tests and experimentation frameworks; Identify growth opportunities and influence prioritisation through data-led recommendations and experiments; Translate … support junior analysts and contribute to analytical best practices. Требования: Structure ambiguous problems and translate data into actionable insight; Apply statistics, hypothesis testing, and experimental design in product environments; Advanced SQL skills; Strong experience with Python, including pandas and NumPy, for large-scale data analysis; Lead ...

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 ...