20 of 20 Permanent Experimental Design Jobs in the UK excluding London

art practice in these domains Proficient in Python, and experience with machine learning and deep learning toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) Scientific thinking, ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals Solid written and spoken communication to effectively communicate technical More ❯

craft of large-scale ML systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. Responsibilities: Own critical aspects of … including model operations, performance optimization, observability, and reliability Debug and resolve complex issues across the full stack-from hardware errors and networking to training dynamics and evaluation infrastructure Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating More ❯

with flexible hours and opportunities to contribute to frontier AI evaluation and research. Key Responsibilities Evaluate and compare AI-generated research plans for clarity, feasibility, and technical soundness. Design and compile ML tasks based on real-world challenges and research competitions. Draft detailed, executable natural language plans for machine learning workflows. Implement and validate research plans in Python … deliver concise, objective feedback. Ideal Qualifications 5+ years of experience in applied machine learning or a PhD in machine learning or related fields. Strong understanding of ML research methodologies, experimental design, and evaluation practices. Excellent analytical and technical writing skills. Experience with reproducibility or benchmarking in ML research preferred. Detail-oriented and able to deliver high-quality … is backed by investors including Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across disciplines — from research and engineering to law and design — have joined Mercor to build the next generation of artificial intelligence systems. More ❯

experimentation, collaboration, and continuous learning. 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 robust, efficient, and scalable ML … systems (e.g., semantic embeddings, learning-to-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, with the ability to More ❯

experimentation, collaboration, and continuous learning. 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 robust, efficient, and scalable ML … systems (e.g., semantic embeddings, learning-to-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, with the ability to More ❯

experimentation, collaboration, and continuous learning. 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 robust, efficient, and scalable ML … systems (e.g., semantic embeddings, learning-to-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, with the ability to More ❯

experimentation, collaboration, and continuous learning. 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 robust, efficient, and scalable ML … systems (e.g., semantic embeddings, learning-to-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, with the ability to More ❯

experimentation, collaboration, and continuous learning. 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 robust, efficient, and scalable ML … systems (e.g., semantic embeddings, learning-to-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, with the ability to More ❯

experimentation, collaboration, and continuous learning. 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 robust, efficient, and scalable ML … systems (e.g., semantic embeddings, learning-to-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, with the ability to More ❯

and data storytelling to identify 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 and maintain dashboards and tools to More ❯

and maintain a roadmap that aligns scientific value, regulatory reality, and technical feasibility. Own product outcomes after release – track impact and iterate to maximise value. Discovery and scientific design Partner with application and research scientists to map end-to-end scientific workflows, data needs, and decision points across pharma and chemical safety. Translate scientific problems into well shaped … work. Evidence of using metrics and user insights to drive decisions Desirable Professional experience in the pharmaceutical or chemical industries and familiarity with how science is performed in practice – experimental design, data interpretation, and peer review. Experience with regulatory concepts relevant to chemical safety and pharma workflows – e.g., how guidance like ICH M7 influences user needs and More ❯

participants during experiments, ensuring smooth and accurate session delivery. Record and manage metadata with precision and consistency. Coordinate participant scheduling and session logistics. Conduct data validation and contribute to experimental design discussions. Assist in user testing, participant onboarding, and general lab operations. Required Skills & Experience: Bachelor’s degree (e.g. Psychology, Natural Sciences, Engineering, or similar). More ❯

we deliver rare value and impact across our businesses. The Role: As a Senior Associate, Data Scientist, you'll work alongside experienced data scientists and ML engineers to design, develop, and apply data-driven models and analyses that deliver measurable business value. Reporting to the Executive Director of AI Science, you'll gain hands-on experience working on … and hypothesis testing to uncover patterns and support model development. Collaborate with senior data scientists and ML engineers to refine models, improve accuracy, and enhance interpretability. Support the design and evaluation of experiments and A/B tests, ensuring rigorous measurement of impact. Clean, transform, and prepare data from diverse sources, ensuring high-quality datasets for analysis. Build … workflows and sharing best practices. Requirements 5+ years of experience applying data science or advanced analytics in a professional setting. Solid understanding of statistical modeling, machine learning fundamentals, and experimental design. Experience with predictive modeling techniques such as regression, classification, clustering, or time-series forecasting. Proficiency in Python and experience with data science libraries (e.g., Pandas, NumPy, scikit-learn More ❯

and business teams - uncovering user behaviour, identifying opportunities, and driving strategy with actionable insights. You will: Leverage quantitative analysis and data storytelling to inform product decisions. Generate hypotheses, design experiments, and champion a culture of continuous learning. Define and align key metrics across teams, ensuring data accuracy and consistency. Build and maintain self-serve data tools and dashboards More ❯

to self organise and manage stakeholders Demonstration of impact/going above and beyond basic role requirements Desirable DBT Data modelling in a warehouse context Understanding of testing and experimental design Legally authorised to work in the UK Some important stuff we would like you to know To meet our regulatory obligations as a licensed financial services More ❯

to work from our Massachusetts offices at least 3 days per week. In this role, you will: Experiment and optimize: Define clear, measurable hypotheses to improve key metrics, design experiments to validate them, and use insights to drive long-term growth. Lead cross-functional collaboration: Partner closely with technical and business teams to shape strategy and deliver sustainable … to launch. Stay ahead of the curve: Keep a pulse on AdTech trends, competitors, and emerging technologies to inform innovation. Champion customer needs: Collaborate with business and product design teams to identify opportunities and solve for partner and traveler needs across all segments. Measure what matters: Define, track, and influence the metrics that represent auction health and success. More ❯

past data or modelled assumptions and design and run experiments to test them. You will be the champion of analytical rigour within the team, ensuring that our experimental designs are correctly defined, our models are evolving and optimised for impact and that we evaluate results rigorously and without bias. You will also mentor and guide data and … product analysts on the team. The projects Design, implement and review experiments that test the impact of giving instant decisions to different customer segments. Work alongside the team lead and collaborate with other teams to develop an optimised strategy for deciding what documents we request from customers. This will include building, implementing and maintaining predictive models. Evaluate and … ideally from a quantitative background (e.g., Mathematics, Physics, Statistics or similar fields). Ability to understand business context and translate data into actionable insights that guide decisions. Understanding of experimental design. Proficiency with data manipulation and modelling tools, e.g. pandas, statsmodels, R. Ability to take ownership of tasks and drive projects forward, developing towards end-to-end responsibility. Ability More ❯

campaign briefs into technical requirements and ensuring seamless delivery across DM, email, and digital channels. You'll collaborate with campaign analytics and A/B testing specialists, helping design experiments and evaluate ROI. The role involves supporting transformation projects including migration to a new customer data platform and rollout of a new CRM tool (Dotdigital). Key Responsibilities … technical requirements, selecting target audiences based on behavioural data Join data from multiple sources (CRM, transactional systems, engagement events) and use APIs to connect to marketing automation platforms Design and implement QA processes ensuring regulatory requirements are met Team Leadership & Development Lead, manage, motivate and develop six direct reports Lead daily scrums, ensuring team members are comfortable with More ❯

campaign briefs into technical requirements and ensuring seamless delivery across DM, email, and digital channels. You'll collaborate with campaign analytics and A/B testing specialists, helping design experiments and evaluate ROI. The role involves supporting transformation projects including migration to a new customer data platform and rollout of a new CRM tool (Dotdigital). Key Responsibilities … technical requirements, selecting target audiences based on behavioural data Join data from multiple sources (CRM, transactional systems, engagement events) and use APIs to connect to marketing automation platforms Design and implement QA processes ensuring regulatory requirements are met Team Leadership & Development Lead, manage, motivate and develop six direct reports Lead daily scrums, ensuring team members are comfortable with More ❯

initiative Familiar with n8n, Make, Airtable, APIs, ChatGPT automation Comfortable with ambiguity; you find structure where others see chaos Obsessed with understanding how systems grow (traffic leads revenue) Curious, experimental, analytical You ask sharp questions and design experiments to answer them Why This Role Is Special Join a Marketing-First B2B organisation (rare in FinTech) Shape an More ❯