16 of 16 Remote/Hybrid Experimental Design Jobs in the UK excluding London

production. Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing). Great understanding of machine learning principles (experimental design, statistical distributions and test, machine learning algorithms) Expertise in deploying ML models at scale on AWS, with experience using MLFlow, Sagemaker ...

production. Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing). Great understanding of machine learning principles (experimental design, statistical distributions and test, machine learning algorithms) Expertise in deploying ML models at scale on AWS, with experience using MLFlow, Sagemaker ...

production. Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing). Great understanding of machine learning principles (experimental design, statistical distributions and test, machine learning algorithms) Expertise in deploying ML models at scale on AWS, with experience using MLFlow, Sagemaker ...

production. Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing). Great understanding of machine learning principles (experimental design, statistical distributions and test, machine learning algorithms) Expertise in deploying ML models at scale on AWS, with experience using MLFlow, Sagemaker ...

production. Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing). Great understanding of machine learning principles (experimental design, statistical distributions and test, machine learning algorithms) Expertise in deploying ML models at scale on AWS, with experience using MLFlow, Sagemaker ...

production. Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing). Great understanding of machine learning principles (experimental design, statistical distributions and test, machine learning algorithms) Expertise in deploying ML models at scale on AWS, with experience using MLFlow, Sagemaker ...

production. Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing). Great understanding of machine learning principles (experimental design, statistical distributions and test, machine learning algorithms) Expertise in deploying ML models at scale on AWS, with experience using MLFlow, Sagemaker ...

production. Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing). Great understanding of machine learning principles (experimental design, statistical distributions and test, machine learning algorithms) Expertise in deploying ML models at scale on AWS, with experience using MLFlow, Sagemaker ...

production. Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing). Great understanding of machine learning principles (experimental design, statistical distributions and test, machine learning algorithms) Expertise in deploying ML models at scale on AWS, with experience using MLFlow, Sagemaker ...

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 ...

opportunities, improve customer experiences, and drive measurable impact. Key Responsibilities: Analyse user behaviour to uncover insights, identify pain points, and influence product direction. Design experiments and support a culture of testing, learning, and iteration. Define and align key business metrics, ensuring consistency and accuracy across teams. Build ...

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 ...

experience is a plus) A strong track record delivering the full lifecycle of Data Science products and projects. Experience working within regulated utility environments. Experimental design experience and a hypothesis-driven mindset. Familiarity with interactive visualisation tools (Power BI a plus). Knowledge of GIS tools, such ...

role is for someone who combines deep technical expertise with the ability to influence how a global organisation thinks about growth. You'll design experiments, build models, and deliver the insights that shape how we invest our marketing spend across 190+ countries. But measurement only matters … models- whether using Robyn, Google Meridian, PyMC-Marketing, LightweightMMM, Bayesian regression, or working closely with vendors who do. Strong foundation in causal inference and experimental design: you understand difference-in-differences, synthetic control, propensity scoring, and when each method is appropriate. Expert-level SQL and Python ...

role is for someone who combines deep technical expertise with the ability to influence how a global organisation thinks about growth. You'll design experiments, build models, and deliver the insights that shape how we invest our marketing spend across 190+ countries. But measurement only matters … models- whether using Robyn, Google Meridian, PyMC-Marketing, LightweightMMM, Bayesian regression, or working closely with vendors who do. Strong foundation in causal inference and experimental design: you understand difference-in-differences, synthetic control, propensity scoring, and when each method is appropriate. Expert-level SQL and Python ...

user behaviour and product performance across key journeys Build dashboards and self-serve insights for cross-functional teams Support A/B testing: design experiments, interpret results, recommend next steps Work with data and platform teams to ensure clean, scalable datasets Present clear, actionable insights that influence product ...