24 of 24 Remote Experimental Design Jobs in the UK

it’s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real … world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable … unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £35,000 – £45,000 plus bonus 🏡 Hybrid More ❯

it’s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real … world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable … unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £35,000 – £45,000 plus bonus 🏡 Hybrid More ❯

predictive models for compliance risk, or uncovering patterns in complex legal datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and legal subject-matter experts to design, develop, and deploy models that transform how organisations interact with legal information. What You’ll Be Doing: Designing and building machine learning and NLP models to process and analyse … full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment. Applying statistical, deep learning, and neuro-symbolic AI techniques to generate actionable insights. Contributing to experimental research, model prototyping, and performance benchmarking. Presenting findings clearly to both technical and non-technical stakeholders, including legal teams. Collaborating across data science, engineering, and product teams to build … visa sponsorship for this role). Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. PyTorch, TensorFlow). Exposure to cloud platforms (AWS, GCP, or Azure). Experience with experimental design, research methods, or academic publishing. Understanding of MLOps, version control (Git), or containerisation (e.g. Docker). Benefits: 💰 Competitive Salary & Bonus: £35,000 – £45,000 plus bonus More ❯

predictive models for compliance risk, or uncovering patterns in complex legal datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and legal subject-matter experts to design, develop, and deploy models that transform how organisations interact with legal information. What You’ll Be Doing: Designing and building machine learning and NLP models to process and analyse … full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment. Applying statistical, deep learning, and neuro-symbolic AI techniques to generate actionable insights. Contributing to experimental research, model prototyping, and performance benchmarking. Presenting findings clearly to both technical and non-technical stakeholders, including legal teams. Collaborating across data science, engineering, and product teams to build … visa sponsorship for this role). Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. PyTorch, TensorFlow). Exposure to cloud platforms (AWS, GCP, or Azure). Experience with experimental design, research methods, or academic publishing. Understanding of MLOps, version control (Git), or containerisation (e.g. Docker). Benefits: 💰 Competitive Salary & Bonus: £35,000 – £45,000 plus bonus More ❯

predictive models for compliance risk, or uncovering patterns in complex legal datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and legal subject-matter experts to design, develop, and deploy models that transform how organisations interact with legal information. What You’ll Be Doing: Designing and building machine learning and NLP models to process and analyse … full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment. Applying statistical, deep learning, and neuro-symbolic AI techniques to generate actionable insights. Contributing to experimental research, model prototyping, and performance benchmarking. Presenting findings clearly to both technical and non-technical stakeholders, including legal teams. Collaborating across data science, engineering, and product teams to build … visa sponsorship for this role). Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. PyTorch, TensorFlow). Exposure to cloud platforms (AWS, GCP, or Azure). Experience with experimental design, research methods, or academic publishing. Understanding of MLOps, version control (Git), or containerisation (e.g. Docker). Benefits: 💰 Competitive Salary & Bonus: £35,000 – £45,000 plus bonus More ❯

predictive models for compliance risk, or uncovering patterns in complex legal datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and legal subject-matter experts to design, develop, and deploy models that transform how organisations interact with legal information. What You’ll Be Doing: Designing and building machine learning and NLP models to process and analyse … full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment. Applying statistical, deep learning, and neuro-symbolic AI techniques to generate actionable insights. Contributing to experimental research, model prototyping, and performance benchmarking. Presenting findings clearly to both technical and non-technical stakeholders, including legal teams. Collaborating across data science, engineering, and product teams to build … visa sponsorship for this role). Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. PyTorch, TensorFlow). Exposure to cloud platforms (AWS, GCP, or Azure). Experience with experimental design, research methods, or academic publishing. Understanding of MLOps, version control (Git), or containerisation (e.g. Docker). Benefits: 💰 Competitive Salary & Bonus: £35,000 – £45,000 plus bonus More ❯

predictive models for compliance risk, or uncovering patterns in complex legal datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and legal subject-matter experts to design, develop, and deploy models that transform how organisations interact with legal information. What You’ll Be Doing: Designing and building machine learning and NLP models to process and analyse … full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment. Applying statistical, deep learning, and neuro-symbolic AI techniques to generate actionable insights. Contributing to experimental research, model prototyping, and performance benchmarking. Presenting findings clearly to both technical and non-technical stakeholders, including legal teams. Collaborating across data science, engineering, and product teams to build … visa sponsorship for this role). Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. PyTorch, TensorFlow). Exposure to cloud platforms (AWS, GCP, or Azure). Experience with experimental design, research methods, or academic publishing. Understanding of MLOps, version control (Git), or containerisation (e.g. Docker). Benefits: 💰 Competitive Salary & Bonus: £35,000 – £45,000 plus bonus More ❯

analytics that shape business strategy.If this interests you, please keep reading below for more information Responsibilities • Design and analyse causal inference experiments using both randomized and quasi-experimental methods• Develop conformal prediction models to quantify uncertainty in machine learning predictions• Identify and account for confounding variables in observational studies• Create and apply statistical frameworks to estimate causal … effects accurately• Collaborate with product, engineering, and business teams to design rigorous experiments• Present insights and methodologies in a clear and actionable way to stakeholders• Translate complex data challenges into impactful, data-driven solutions Qualifications … Advanced degree (MS/PhD) in a quantitative field with strong statistical expertise• 3+ years of hands-on experience applying statistical methods to real-world data• Deep knowledge of experimental design and observational study techniques• Strong understanding of conformal prediction theory and applications• Proficient in Python or R, with experience in statistical and machine learning libraries• Familiarity More ❯

between technical AI capabilities and practical business applications, using bespoke coding and modern low-code/no-code automation platforms in an ever changing marketing landscape. KEY RESPONSIBILITIES Design and build intelligent workflow automation solutions for media and marketing teams using AI-powered tools and frameworks Develop POCs that demonstrate how AI can streamline content creation, campaign management … applicable Create API integrations between marketing tools, CRM systems, and content management platforms using MCP or alternative protocols. Perform statistical analysis including A/B testing, causal inference, and experimental design to build the business case of POC's Work closely with data engineers, media consultants and clients to ensure seamless integration of your solution to create More ❯

across product, engineering, and business to deliver data science solutions. Responsibilities Work across and support a range of data use cases including analytics and data provisioning Lead the design, development, and deployment of data strategies, machine learning models and advanced analytics solutions to support recommendation and insight to production use cases Apply statistical techniques to extract insights and … libraries such as pandas, scikit-learn, TensorFlow, or PyTorch Expert in Python and ML frameworks (PyTorch, TensorFlow, Sklearn), with experience across NLP, computer vision, and LLMs Strong statistical and experimental design background, including A/B testing and causal inference Experience working with SQL and large-scale datasets Excellent communication skills and ability to present complex ideas More ❯

rooted throughout our work, to elevate and bring to life our differences throughout the platform world Overview We are seeking a Technical Lead Data Scientist to lead the design and delivery of advanced analytics and machine learning solutions that power our data-driven products and decision-making processes. Whilst this role will be hands-on in nature and … initiatives with business and product strategy Architect and deliver end-to-end ML pipelines (from data acquisition to model deployment) in collaboration with data engineering and MLOps teams Design, validate, and deploy machine learning models and advanced analytics solutions that support production forecasting, recommendation, and automation Guide the technical direction for statistical modeling, NLP, computer vision, and LLM … in Python and ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn) and experience across NLP, computer vision, and LLMs Strong statistical foundation, including A/B testing, causal inference, and experimental design Proficiency in SQL and working with large-scale, cloud-based datasets Deep understanding of MLOps principles and integrating ML solutions into production environments Demonstrated ability to More ❯

hear from you. What You'll Do Deep-dive into user behavior to optimize free trials and onboarding flows Design and analyze A/B tests and experimental frameworks for product development Build and maintain DBT pipelines and scalable data models Partner with engineers to ensure accurate Snowplow tracking Drive cross-functional initiatives across product, engineering, and … design Influence decisions through proactive reporting and … insight generation What You Bring Advanced SQL proficiency-daily query writing expected Background in digital product analytics , preferably with subscription-based platforms Experience with A/B testing and experimental design (preferred) Knowledge of user onboarding and retention strategies Python proficiency is a plus, but not required High ownership mindset and ability to operate autonomously in a More ❯

Analytics Engineers and Software Engineers to collect and model relevant conversion data throughout the customer lifecycle Champion data-driven culture by sharing insights and building strong stakeholder relationships Design experiments and analysis frameworks to quantify ROI of conversion initiatives Lead by example in applying analytics best practices from data collection to analysis What you'll need for this More ❯

exploring and uplifting the data quality and enrichment, as well as working on our AI tools, platforms and products. You will leverage a data science approach to product design, experimentation, metrics definition, evaluation and monitoring to prove value for our customers. Data Scientists at Culture Amp are specialists who work with others to bring their expertise and views … DBT and Dask. Experience in Python data science space - LangChain, LangSmith, pandas, numpy, sci kit learn, scipy, hugging face etc. Understanding of statistical and machine learning models. Knowledge of experimental design, statistical testing and model validation. Experience in data visualization tools such as plotly, seaborn, streamlit etc would be an advantage. Understanding of data modelling and exposure More ❯

For: Solid experience in a full-stack environment, ideally 3+ years Demonstrated ability to partner with product teams to deliver user-focused features and scope client requirements Experience in experimental design and rapid prototyping across multiple product Previous experience in LLMs, AI agents, or NLP tools A commercially aware mindset with an interest in building tools that More ❯

agency relationships, advising on advanced measurement frameworks that elevate business performance. Develop and operationalize learning agendas and measurement strategies, fostering adoption of cutting-edge methodologies, tools, and partnerships. Design and execute empirical research, A/B tests, incrementality and attribution studies, and clean room solutions to optimize campaign performance. Synthesize and communicate complex research and analytics, distilling insights … field). 5+ years' experience in a consultative or advisory role Preferred Qualifications Deep expertise in advertising measurement methodologies, incl. attribution, MMM, incrementality, online/offline measurement, CAPI and experimental design. Strong data acumen with experience working with large-scale datasets, advanced analytics tools and/or digital AdTech ecosystems. Proven ability to influence executive stakeholders and translate complex More ❯

of improvements to processes implemented on our automation platforms. - Work with cross-functional teams (sample preparation & PCR optimization and integration, troubleshooting and failure analysis) to identify and prioritize design improvements based on data collated from customers, field service, technical support and/or research & development. - Design experiments to reproduce systemic issues, determine the root causes and … teams. - Knowledge of quality methods such as CAPA, cGMP, FMEA, ISO would be beneficial. - Experience with product development and/or life cycle management in a regulated environment (Design Controls according to European and U.S./FDA guidelines) would be a plus. - Knowledge of Solid Works (or other equivalent CAD package). - Willingness and availability to travel to … of improvements to processes implemented on our automation platforms. - Work with cross-functional teams (sample preparation & PCR optimization and integration, troubleshooting and failure analysis) to identify and prioritize design improvements based on data collated from customers, field service, technical support and/or research & development. - Design experiments to reproduce systemic issues, determine the root causes and More ❯

dynamic dashboards. This role is perfect for someone who's hands-on, detail-oriented, and an independent data problem solver looking for a role with varied scope. Responsibilities Design, develop, and maintain reports and data outputs that enable presentation of key business metrics Write advanced SQL queries to analyze large datasets and identify patterns, trends, and anomalies Use … Python for more advanced analytics, automation, and data processing tasks Work with BigQuery to build scalable analytical workflows in a cloud-based environment Understand and design output for cross-functional teams to define KPIs, design experiments, and uncover actionable insights Deliver clear, concise insights and recommendations to stakeholders using data visualizations and presentations Support data quality More ❯

complex challenges and maximising positive global impact. Join us on our moonshot mission. Who You Are: You are a strong software engineer with deep experience in Python, API design, and distributed systems architecture. You are an expert in LLM orchestration. You have hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and orchestration frameworks like LangChain, LlamaIndex, or … particularly for scientific text processing and citation networks. Your Responsibilities: Build autonomous scientific agents that can execute complex research workflows through natural language interaction-from protein structure analysis to experimental design. Architect end-to-end reasoning systems that integrate our platform capabilities with intelligent decision-making, enabling users to accomplish sophisticated tasks through simple chat interfaces. Develop knowledge discovery … pipelines that can autonomously mine scientific literature, identify undrugged disease pathways, and propose novel therapeutic targets. Create scientific content at scale by building agents that can design experiments, generate hypotheses, and produce research-grade articles and blog posts. Pioneer autonomous lab workflows by developing agents that can design complex biological systems (like protein-based logic gates More ❯

The Personalisation Manager will support the definition of the personalisation strategy and market roadmaps, advising on how to build or buy AI & Analytics solutions, and supporting with the design of content and journey navigation tools. What will this involve? Lead on the build of personalisation and recommendation models that enhance customer experience (CX). Help design … teams, fostering an environment that allows for strong working relationships, trust and partnership towards a common goal. Advise and educate global markets on experimentation and personalisation best practices. Design experiments to quantify performance of models and product. Work with big data, using data science techniques and alongside engineers to define data pipeline needs. We would like you to More ❯

of architecture & technology development. Represent Arm with high technical credibility in customer meetings, appropriately incorporating feedback. Build high level architecture specifications as required to enable engineering teams to design and verify platforms addressing Client market segments including smartphones, large-screen compute and embedded/home devices. Design experiments and analyses to answer architectural questions, and invent More ❯

validation. Design and optimise experiments using Design of Experiments (DOE) methodologies to produce actionable results. Contribute to the grant writing process, supporting technical sections and experimental justifications. Collaborate closely with hardware engineers to integrate biological workflows into automated systems. Proactively identify challenges, propose solutions, and drive scientific processes with minimal oversight. Maintain detailed experimental documentation and contribute to project reporting for internal and external stakeholders. Requirements The ideal candidate will have: Proven, hands-on wet lab expertise with standard and advanced experimental techniques and instrumentation. Demonstrated use of results-driven DOE in experimental design. Familiarity with the grant writing process for research funding. Comfortable owning and driving scientific processes independently. It More ❯

a diverse cross-functional Digital Experience team within one of the world's largest retailers. This is a new business unit comprised of Data Science & Analytics, Product, Engineering, Design, Operations, & Strategy teams. This Digital Experience team functions like a startup within the business, advising executive teams on all things related to their consumer's digital experience, taking ownership … Collaborate with internal teams to drive the optimisation of performance analyses, landing page testing and funnel optimisation. Advise and educate global markets on experimentation and personalisation best practices. Design experiments to quantify performance of models and product. Work with big data, using data science techniques and alongside engineers to define data pipeline needs. We would like you to More ❯

performance, including conversion, acceptance rates, and fraud/risk implications for Flow. Key responsibilities: Own the end to end flow: Analyze user interaction, identify areas for improvement, and design experiments to optimize the payment experience, feature adoption, and key conversion funnels within Flow. Drive growth initiatives: Develop and execute data-driven strategies to improve our performance metrics while … reducing cost and risk. GTM with Collaborate cross-functionally: Work closely with marketing, commercial to champion flow in addition to engineering, design, data to implement and iterate on new features and product improvements. Garner deep customer insights: Gather insights from merchants and users through regular engagement, surveys, interviews, and A/B testing to understand their needs and More ❯