51 to 60 of 60 Experimental Design Jobs in England

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 ...

remote A leading UK national security-focused technology organisation is seeking a Senior Machine Learning Engineer to join its AI team. You will design, develop, and deploy ML models and LLM/GenAI solutions to solve real-world national security challenges. This is a highly innovative, collaborative … forecasting, classification, anomaly detection, and LLM/GenAI applications. Design experiments, formulate hypotheses, evaluate results, and iterate rapidly to validate approaches. Transition experimental models into production-ready solutions, collaborating with engineers on deployment, monitoring, and optimisation. Build and maintain ML pipelines using AWS services and modern MLOps ...

Analytics Engineers, and Data Scientists. What you'll do: Use quantitative analysis and data storytelling to uncover user behaviour and inform product strategy Design and support experiments, generate hypotheses, foster continuous learning Define and align key metrics with stakeholders, ensure data accuracy across teams Build self-serve dashboards … best practices Own problem spaces end-to-end, not just analysis - deliver outcomes Greenfield opportunity with full ownership, autonomy to identify right questions, design experiments, and drive revenue-impacting decisions. TECH STACK Database: SQL (essential - must be strong)Transformation: dbt (comfortable using, not expert-level required)Languages: Python ...

Senior ML Engineer to join a leading organisation delivering cutting-edge AI and machine learning solutions with real-world impact. You will design, develop, and deploy ML models, including traditional ML and GenAI/LLM applications, supporting national security and regulated sector objectives. This is a London-based … role with hybrid working support. Key Responsibilities: Design, develop, and iterate ML models for forecasting, classification, anomaly detection, and GenAI/LLM applications. Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly. Transition validated experiments into production-ready solutions, collaborating with engineers ...

client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human preferences, ensuring they are safe, controllable, and capable of producing high-quality outputs … learning methods (policy gradients, actor-critic, off-policy learning) for model alignment. Train, fine-tune, and evaluate LLMs and diffusion models at scale. Design experiments to align generative outputs with human and organisational preferences. Collaborate with researchers, engineers, and human feedback teams to build scalable alignment pipelines. Publish ...

client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human preferences, ensuring they are safe, controllable, and capable of producing high-quality outputs … learning methods (policy gradients, actor-critic, off-policy learning) for model alignment. Train, fine-tune, and evaluate LLMs and diffusion models at scale. Design experiments to align generative outputs with human and organisational preferences. Collaborate with researchers, engineers, and human feedback teams to build scalable alignment pipelines. Publish ...

modelling, and experimentation standards from first principles. What You’ll Do Build and own ML models and data workflows on large, messy datasets Design experiments to assess data structure, signal quality, and robustness Develop forecasting, modelling, or optimisation systems that inform decisions Analyse model behaviour, regime shifts, drift … failure modes Design repeatable data and experimentation systems Translate modelling work into production-grade components Own models end-to-end, including monitoring and iteration Who Thrives Here Strong foundations in statistics, probability, and applied machine learning Fluent Python with experience writing production-quality, testable code Hands-on experience ...

touchpoints? What you'll do: Analyze marketing campaign performance across multiple channels Build web traffic and user behavior analysis to understand content engagement Design and analyze A/B tests to optimize conversion rates Conduct channel analysis to identify best-performing marketing channels Build Power BI reports … full ownership of getting analysis into production This isn't a dashboard factory role - you'll have autonomy to identify the right questions, design rigorous experiments, and see your insights translate into real business decisions. TECH STACK Database: SnowflakeBI Tool: Power BI (primary)Transformation: dbtOrchestration: AirflowLanguages: SQL (essential ...

solutions you develop, youll be doing it for an organisation who makes a huge impact to the security of the UK. Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications Lead experimentation cycles: define hypotheses … design experiments, evaluate results, and iterate rapidly while adhering to governance requirements Transition validated experiments into production-ready solutions, working closely with other engineers on deployment and monitoring Build and optimise ML pipelines using AWS services and experiment tracking tools Develop and integrate LLM-powered solutions for tracing ...

solutions you develop, youll be doing it for an organisation who makes a huge impact to the security of the UK. Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications Lead experimentation cycles: define hypotheses … design experiments, evaluate results, and iterate rapidly while adhering to governance requirements Transition validated experiments into production-ready solutions, working closely with other engineers on deployment and monitoring Build and optimise ML pipelines using AWS services and experiment tracking tools Develop and integrate LLM-powered solutions for tracing ...