1 to 25 of 187 Experimental Design Jobs in England

HAIL) team focused on advancing how humans and robots interact in real-world environments. This exciting opportunity combines human-subject research, hands-on robotics, experimental design, and data analysis . You'll work directly with research participants and robotic systems, including mobile robots, robotic arms, and four … user studies in office, laboratory, and field environments. Coordinate study schedules, participant recruitment, research materials, and daily logistics. Develop research protocols, questionnaires, interviews, and experimental materials. Create research stimuli, including videos, animations, and physical mockups. Work Hands-On with Robotics & Technology Set up and operate robotic systems during live ...

behavioral and social sciences, evaluation methodology, and structured bias testing. You'll need strong statistical and probabilistic reasoning: fluency with techniques like uncertainty quantification, experimental design, causal inference and Bayesian modeling. Just as essential is commercial instinct: the judgment to design rigorous, workable methods within … science - not solely academic or research-lab experience. Strong statistical and probabilistic reasoning , with hands-on fluency in confidence intervals, hypothesis testing, power analysis, experimental design, causal inference, and Bayesian modeling. Experience designing evaluation methodologies - including black-box and counterfactual approaches - and the test datasets behind them ...

collaborative, high-performing teams, creating cutting-edge software, platforms, and infrastructure. The Role As an AI Harness Engineer at Valarian, you will own the experimental design, evaluation methodologies, and benchmark infrastructure for our AI models and autonomous agentic workloads. In an emerging domain with no standard playbook … agent scaffolding, prompt design, tool execution loops, context window compaction, retries, and safety guardrails. What we are looking for: Grounding in Statistics & Experimental Design: Demonstrated expertise in hypothesis testing, bootstrapping, power analysis, and statistical significance within probabilistic machine learning systems. LLM-as-a-Judge Validation ...

Technical Lead, translating scientific needs and emerging technologies into priorities and achievable delivery plans. Own standards for submitted data, metadata and curation, including experimental descriptions and sample relationships. Define additional quality controls and suitability criteria for downstream analysis, visualisation and reuse. Lead the development, validation and improvement of reproducible … Nextflow workflows. Ensure analytical methods suit the experimental design and that outputs are documented, versioned and traceable to their source data and reference annotations. Plan and coordinate work across team members, balancing service operation with development. Monitor community demand, backlogs and turnaround times, and manage capacity, milestones ...

of value. Lead the development and validation of predictive, forecasting, propensity, anomaly and fraud, optimisation and causal models for prioritised use cases. Define appropriate experimental design, sampling approaches, feature strategies, evaluation methods and statistical tests based on the decision being supported and the available data. Lead modelling … Advanced Python capability and experience with relevant statistical and machine learning libraries. Advanced understanding of supervised and unsupervised machine learning, forecasting, causal inference and experimental methods. Experience selecting evaluation approaches, statistical tests, decision thresholds and validation techniques appropriate to different analytical problems. Strong understanding of model evaluation, calibration, explainability ...

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 ...

position available) UKRI Turing AI World-Leading Fellowship : Focused on developing new principles and methods for Advanced User Modelling, sequential decision making, and Automatic Experimental Design, with and without Human-in-the-Loop. (One Research Associate and one Research Fellow position available) UKRI AI hub in Generative … Decision Making for Complex Systems : Multiple positions available for UK-based students. Projects include "Human-in-the-loop generative models for experimental design" with Patrick Cai and Mingfei Sun, and "Learning theory and methods for novel types of distributional shifts" with Omar Rivasplata. #J-18808-Ljbffr ...

data science together with practical experience operating within modern data platforms, MLOps environments and software engineering workflows. ## Your role **Data Science & Analytics*** Design, develop and deploy statistical, insightful, AI and machine learning solutions to solve operational challenges.* Explore large and complex datasets to identify trends, patterns … technical stakeholders.* Effective collaboration within multidisciplinary teams, supported by strong problem-solving, documentation and critical-thinking skills.**Desirable Skills & Experience*** Advanced statistical modelling, experimental design, forecasting, anomaly detection, model optimisation or explainability.* Deployment and operation of machine-learning models, including monitoring, drift detection and performance management.* Awareness ...

skills and attention to detail, with the ability to validate data integrity, spot anomalies, and ensure accurate calculation of metrics like LTV. You understand experimental design in product or marketing contexts, including defining success metrics, determining sample sizes, and evaluating statistical significance. You communicate complex analytical findings ...

data science together with practical experience operating within modern data platforms, MLOps environments and software engineering workflows. Your role Data Science & Analytics Design, develop and deploy statistical, insightful, AI and machine learning solutions to solve operational challenges. Explore large and complex datasets to identify trends, patterns and actionable … technical stakeholders. Effective collaboration within multidisciplinary teams, supported by strong problem-s solving, documentation and critical-thinking skills. Desirable Skills & Experience Advanced statistical modelling, experimental design, forecasting, anomaly detection, model optimisation or explainability. Deployment and operation of machine-learning models, including monitoring, drift detection and performance management. ...

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 ...

lead development of the pipeline that converts raw optical sensor measurements into reliable analytical results. You will develop algorithms from initial investigation of experimental data through to implementation in product and instrument software, separating sources of variability such as noise, environmental effects, sensor-to-sensor variation and transient artefacts. … concentrations Assess the performance and limitations of each pipeline stage and the complete system, characterising performance across sensors, concentrations, temperatures and sample conditions Use experimental data to decide which correction approaches are appropriate, rather than one model for unrelated sources Turn experimental observations into practical algorithms and models ...

with experience building robust analytical solutions and working with large and complex datasets. Deep understanding of statistical modelling, machine learning, predictive analytics, and experimental design. Demonstrated experience working directly with senior business stakeholders, translating commercial requirements into analytical solutions and communicating technical findings to non-technical audiences. Experience leading ...

maximize revenue and utilization. Model Development: Build and deploy statistical models and machine learning algorithms to optimize pricing decisions. Experimentation & Causal Inference: Design and evaluate pricing A/B tests and other controlled experiments to measure impact on revenue and profitability. Help measure the true impact of price … similar quantitative role. Technical Skills: Strong proficiency in SQL and Python for data analysis, manipulation, and modeling. Analytical Methodology: Familiarity with quasi-experimental design and causal inference techniques (e.g., Difference in Differences) to evaluate business impact outside of standard A/B testing. Education: Degree in Data ...

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 ...

prototyping. Comfort with the modern data stack - a cloud warehouse (BigQuery or equivalent) and dashboard design principles Solid grasp of statistics and experimental design - hypothesis testing, sample sizing, A/B testing rigour in a consumer-facing context. Strong product sense and commercial instinct ...

methodologies and computational algorithms. Apply machine learning and artificial intelligence techniques to research and product development initiatives. Collaborate closely with laboratory scientists to support experimental design, data analysis, and interpretation. Analyse, process, and interpret Next Generation Sequencing (NGS) and other high-throughput genomics datasets. Produce technical reports ...

causal relationships, test hypotheses and understand system behaviour. Translate complex and ambiguous problems into structured mathematical and computational models. Analyse time-series, observational and experimental data to identify patterns, dependencies and underlying mechanisms. Develop, evaluate and refine predictive and decision-making models using modern ML techniques. Apply simulation, optimisation … Engineering, Computer Science or another relevant quantitative discipline. Strong experience in machine learning, statistical modelling or applied mathematical research. Practical experience with causal inference, experimental design, hypothesis testing or statistical analysis. Strong Python programming skills and familiarity with ML frameworks such as PyTorch, JAX or scikit-learn. ...

premises models, with agents, MCP tools, and A2A interoperability delivered in partnership with AI Engineering. About the Role: You will independently design, develop, evaluate, and operationalize complex AI/ML solutions. You will contribute hands-on technical expertise, apply rigorous experimentation and MLOps/LLMOps practices, improve modeling … education and industry experience. Advanced Python proficiency with Pandas, NumPy, scikit-learn, and PyTorch or TensorFlow; SQL and practical data preparation skills. Strong statistics, experimental design, hypothesis testing, ML validation, and applied classification, regression, ranking, clustering, forecasting, and anomaly detection knowledge. Hands‐on LLM prompting, embeddings, model ...

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 ...

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 Experience with big data ...

Science, Engineering, or related fields Programming skills in Python Proficient understanding of fundamental AI and ML techniques Practical experience with statistical data analysis and experimental design Curiosity, creativity, resourcefulness, and a collaborative spirit Effective verbal and written communication skills with technical and business audiences Demonstrated ability ...

machine learning.Proficiency in Python and modern data science libraries.Knowledge of deep generative modelling techniques.Experience working with LLM APIs or open-source LLM frameworks.Understanding of experimental design and model evaluation.Exposure to cloud platforms such as AWS, Azure or Google Cloud.Strong communication and collaboration skills.Desirable SkillsExperience within market research ...

Machine Learning Senior Associate in the Asset Management Data Science Team, you will build the technical foundation for intelligent investor tools. You will design context-management capabilities, develop LLM-powered applications, and create reliable pipelines for enterprise and investment data. You will partner with investment, data science, engineering … Master’s degree or PhD in computer science, statistics, mathematics, engineering, econometrics, or a quantitative field Demonstrate a strong foundation in statistics, probability, experimental design, and machine learning, with sound judgment in method selection and interpretation Possess hands‐on experience building, deploying, and scaling LLM-powered applications ...