25 of 25 Permanent Experimental Design Jobs in the UK

optimising machine learning models across traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM solutions Leading experimentation cycles, including hypothesis definition, experimental design, evaluation and iteration, while complying with governance standards Transitioning validated experiments into production-ready ML services, collaborating closely with engineering teams … contributing to feature store development Monitoring live models, analysing performance and driving continuous improvement Applying responsible AI principles, including explainability, robustness and fairness Communicating experimental results and production outcomes to stakeholders, highlighting operational and strategic value Mentoring junior engineers and promoting best practices across the team About the Candidate ...

this role, you will analyse complex RF data from software-defined radios (SDRs), develop advanced signal-processing pipelines, and contribute directly to the design and testing of novel sensing systems. You will be responsible for extracting and classifying RF signal features from raw IQ data, building diagnostic tools … testing with drones, wireless devices, and custom transmitters. Collaboration across engineering and research teams is central, and you will contribute to both experimental design and iterative R&D development. The ideal candidate will have strong Python proficiency for data analysis and prototyping, a solid understanding of digital ...

Qlik Sense, Tableau, Amplitude, or Data Studio. Python experience for statistical modeling and AI/ML-driven analysis. Experience in A/B testing, experimental design, and data instrumentation. Knowledge of predictive modeling, clustering, and classification techniques. Ability to transform complex data into simple, compelling insights ...

Information Retrieval (Research-Focused) Drive applied research within a production-focused Information Retrieval team. You will: Research and improve retrieval and NLP models. Design experiments, run evaluations, and iterate on modelling approaches. Collaborate closely with engineering to transition research into production. You bring: Strong applied research experience ...

cloud services (SageMaker, Lambda, S3) Familiarity with MLOps tools (MLflow, Weights & Biases) Knowledge of NLP, computer vision, or time-series analysis Ability to design experiments and apply statistical validation Understanding of Responsible AI principles and model explainability Ready to take your data science expertise to the next level ...

Information Retrieval (Research-Focused) Drive applied research within a production-focused Information Retrieval team. You will: Research and improve retrieval and NLP models. Design experiments, run evaluations, and iterate on modelling approaches. Collaborate closely with engineering to transition research into production. You bring: Strong applied research experience ...

Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy that drives engagement, conversion, and growth. Oversee the design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation. Collaborate with platform and MLOps teams to ensure … rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy. Excellent communication and stakeholder management skills ...

Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy that drives engagement, conversion, and growth. Oversee the design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation. Collaborate with platform and MLOps teams to ensure … rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy. Excellent communication and stakeholder management skills ...

Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy that drives engagement, conversion, and growth. Oversee the design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation. Collaborate with platform and MLOps teams to ensure … rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy. Excellent communication and stakeholder management skills ...

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 ...

Python, JavaScript, or similar technical stack) Experience integrating hardware + software and working with real-world operational workflows Strong analytical mindset, able to design experiments, evaluate results, and iterate quickly Cross-functional collaboration skills with product and delivery teams International project experience and ability to drive localization ...

Python, JavaScript, or similar technical stack) Experience integrating hardware + software and working with real-world operational workflows Strong analytical mindset, able to design experiments, evaluate results, and iterate quickly Cross-functional collaboration skills with product and delivery teams International project experience and ability to drive localization ...

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 ...

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 ...

Bounce Rate, Conversion Rate, Retention, Churn, LTV, and ARPU Strategic thinker with a strong grasp of experimentation principles, including A/B testing and experimental design methodologies Excellent prioritisation and time management skills; comfortable working to deadlines and managing multiple tasks Confident communicator who can present complex ...

alignment with commercial priorities and regulatory compliance. Performance Optimisation: Proactively dive into payment performance data to identify friction points, uncover issuer behaviours, and design experiments to maximise authorisation rates. Intelligent Solutions: Lead the development of sophisticated logic, such as intelligent retry routing and orchestration features, to minimise revenue ...

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 ...

closely with product, engineering, commercial, and operations teams to provide insights, build dashboards, and ensure data is accessible and actionable. You’ll help design experiments, measure outcomes, and contribute to AI and internal productivity initiatives, making data a true competitive advantage for the organization. Key Responsibilities Analysis & Insights … skills, with experience applying statistical methods. High level of comfort translating data into clear business insights for non-technical stakeholders. Familiarity with experimentation design (A/B testing) and KPI development. Some experience with Python and experience working with modern data platforms (Snowflake, BigQuery, Databricks) along with ...

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 ...