1 to 25 of 36 Remote/Hybrid Experimental Design Jobs in the UK

behavioral and social sciences, evaluation methodology, and structured bias testing. You’ll need strong statistical and probabilistic reasoning: fluency with techniques like uncertainty quantification, experimental design, causal inference and Bayesian modeling. Just as essential is commercial instinct: the judgment to design rigorous, workable methods within … solely academic or research-lab experience. Strong statistical and probabilistic reasoning , with hands-on fluency in confidence intervals and hypothesis testing, power analysis, experimental design, causal inference, and Bayesian modeling. Experience designing evaluation methodologies - including black-box and counterfactual approaches - and the test datasets behind them, with ...

collaborative, high-performing teams, creating cutting-edge software, platforms, and infrastructure. The Role As an AI Harness Engineer at Valarian, you will own the experimental design, evaluation methodologies, and benchmark infrastructure for our AI models and autonomous agentic workloads. In an emerging domain with no standard playbook … agent scaffolding, prompt design, tool execution loops, context window compaction, retries, and safety guardrails. What we are looking for: Grounding in Statistics & Experimental Design: Demonstrated expertise in hypothesis testing, bootstrapping, power analysis, and statistical significance within probabilistic machine learning systems. LLM-as-a-Judge Validation ...

improve the key metrics. Who you are You hold a degree in mathematics, statistics, machine learning, or computer science. Rigorous with probability and statistics. Experimental design, causal inference. You reach for the right tool, and you know when a result is real. AI-native, ruthless on quality. … production and monitor it. We use Python for ML/AI services and TypeScript around it, on AWS and PostgreSQL. Statistics you can defend. Experimental design, causal inference, measuring the real effect of an action — not just correlations. You know when a result is real, when ...

products is a must Carry out data analyses to yield actionable business insights. Adhere to and advocate for data science procedures (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation). Present results to peers and senior management. Actively … statistics and machine learning. Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++) Advanced SQL knowledge. Knowledge of experimental design and analysis. Customer-centric and pragmatic attitude. Focus on value delivery and swift execution, while maintaining attention to detail. Strong partner ...

experimentation, causal inference and advanced analytics to evaluate product and commercial initiatives. Design and execute robust measurement approaches across randomised experiments, quasi‐experimental methods and observational causal inference where controlled experimentation is impractical. Apply statistical, machine learning and AI techniques to solve complex measurement challenges and generate … 3+ years of industry experience applying experimentation, causal inference, statistical modelling, machine learning or related analytical techniques to solve business problems. Good understanding of experimental design, A/B testing and modern causal inference methods, including quasi‐experimental approaches. Experience applying data science, machine learning ...

home day. Responsibilities: Lead and directly contribute to laboratory, phantom, benchtop, and in‐vivo testing of new optical neuromonitoring systems and methods Own defined experimental workstreams from planning and protocol development through execution, analysis, documentation, and communication of results Develop and validate tissue‐mimicking phantoms and experimental setups … experimental evidence is translated into product and technical decisions Provide technical guidance to less experienced team members and help maintain high standards of experimental practice, documentation, and scientific rigour AI is fundamental to our culture — it's not just a tool, but a core part of ...

skills and attention to detail, with the ability to validate data integrity, spot anomalies, and ensure accurate calculation of metrics like LTV. You understand experimental design in product or marketing contexts, including defining success metrics, determining sample sizes, and evaluating statistical significance. You communicate complex analytical findings ...

Science team Hybrid 80% homeworking and 20% from Stratford Upon Avon About the role As a Data Scientist at NFU Mutual, you'll design, develop and deploy advanced analytical, machine learning and AI solutions to solve complex business problems. Working across customer, claims, strategy and underwriting domains … experience with a commitment to develop your Python capability, plus complex data analysis and data quality assurance Strong knowledge of statistical methods and experimental design, with experience designing, building and implementing machine learning solutions, particularly predictive models Experience with modern business intelligence platforms such as Power ...

quantum RF (QRF) systems in the UK. The Lead Scientist is the scientific authority within a portfolio, responsible for the physics-led direction, experimental strategy, scientific performance, technical interpretation, and scientific risk management. The role combines hands on technical leadership with team leadership and review, ensuring that experimental … project manager to document these clearly in the risk register along with mitigation strategies. Provide hands on technical leadership where required, including review of experimental plans, results, and technical conclusions. Lead, mentor, and line-manage the portfolio science team. Work closely with the engineering team to ensure scientific requirements ...

research publications Skills/Must Have Strong quantitative background with excellent analytical and problem-solving skills Python programming experience Understanding of statistics and experimental design Experience working with data science or machine learning workflows Interest in LLMs, generative AI and agentic systems Ability to analyse data ...

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 ...

of scientific or engineering expertise. Assess the technical accuracy, completeness, logical reasoning, and practical applicability of AI outputs. Review scientific analyses, engineering solutions, calculations, experimental methodologies, and technical explanations. Compare multiple AI-generated responses and determine which solution best meets professional standards. Identify inaccuracies, methodological flaws, statistical errors … Expertise: Hands-on experience working with real-world scientific or engineering data, including: Instrumentation and test data Measurement and sensor outputs Laboratory records and experimental datasets CAD models and engineering drawings Simulation and modelling outputs Scientific or analytical software outputs Experience using one or more relevant technical tools such ...

United States Digital Space LLC in London is seeking a Junior Data Scientist to design experiments and build statistical models guiding how we reach new customers in sales and marketing. You will work under the mentorship of the team’s data scientist, collaborating with analysts, software engineers ...

Generative AI to solve real-world customer problems while delivering measurable commercial impact. Salary: £80K - £85K Location: London | Hybrid The Opportunity You’ll design, build and deploy production-grade machine learning models that power highly personalised customer experiences. From recommendation algorithms and retrieval systems through to LLM-powered … experimentation, high-quality code and scalable machine learning systems. Skills & Experience Strong commercial experience with Python Excellent understanding of machine learning, statistical modelling and experimental design Experience developing and deploying end-to-end machine learning products into production Knowledge of recommender systems, personalisation, retrieval or ranking techniques ...

Meet the team Here at Cleo, we have ~45 ML engineers They are the builders behind the AI that powers our product. They design experiments, create models that personalise financial insights, deploy fraud detection systems and scale our conversational AI, making sure that what we build genuinely helps ...

reproducible device concept ready for follow‐on clinical evaluation. You will utilise your expertise in flexible electronics, additive manufacturing, printed sensors, instrumentation and experimental data analysis to optimise glove fabrication, carry out bench characterisation, support early usability assessments and contribute to user‐centred device refinement. The role also includes … investigators and collaborators. Carry out strategic planning over the duration of the project in conjunction with other project members, including planning and scheduling of experimental work and resource requirements. Carry out other duties, commensurate with the grade and remit of the post. Person Specification Our diverse community of staff ...

risk modeller, but you can't be allergic to the topic. Strong technical foundation in analytics with advanced SQL. You can model data, design experiments, and have a proper technical conversation if required. Comfortable operating at both strategic and tactical levels, able to 'zoom in' on critical insights ...

Applied Decision Science team to build production ML models that assess transaction risk and help merchants grow their businesses. You will design experiments, deploy models, and collaborate with data engineers to optimize decisioning strategies. The role emphasizes Python development, SQL proficiency, and experience with Spark/Databricks ...

channels, monitor performance rigorously, and drive ROI optimisation through collaborative planning and agile adjustments Funnel optimisation: Own install → sign-up → funded → AUA conversion; design experiments, fix friction, and improve time-to-funded across web and app. Advertising & tracking: Guide the team in executing creative testing, refining bidding strategies ...

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. … 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 ...

Gaia in a fast-paced, results-focused environment. Key responsibilities: Lead and execute large-scale training runs for video (or adjacent) foundation models, from experimental design through production-grade execution Contribute to model architecture and training strategy, using first-principles understanding rather than "off-the-shelf" application ...

team to build and deploy ML models that assess fraud risk, improve decisioning, and automate data workflows. You will collaborate across teams to design experiments, analyze results, and deliver production-grade Python code while leveraging Spark, Databricks, and GCP in a distributed data environment. #J-18808-Ljbffr ...

working, and build the data products that make those answers repeatable and trusted. What You'll Do Marketing Measurement & Attribution Lead the design and build of Moneybox's marketing attribution framework Own incrementality testing: design experiments, define holdout groups, and translate results into actionable media planning … ensure martech data flows (AppsFlyer, Google Ads API, Meta Ads API, GCP, Mixpanel) are well-modelled, documented, and trusted Contribute to the design and governance of marketing data models within the broader data platform (Databricks), including gold/silver/bronze layer definitions relevant to marketing use cases ...

working, and build the data products that make those answers repeatable and trusted. What You’ll Do Marketing Measurement & Attribution Lead the design and build of Moneybox's marketing attribution framework Own incrementality testing: design experiments, define holdout groups, and translate results into actionable media planning … ensure martech data flows (AppsFlyer, Google Ads API, Meta Ads API, GCP, Mixpanel) are well-modelled, documented, and trusted Contribute to the design and governance of marketing data models within the broader data platform (Databricks), including gold/silver/bronze layer definitions relevant to marketing use cases ...

working, and build the data products that make those answers repeatable and trusted. What You'll Do Marketing Measurement & Attribution Lead the design and build of Moneybox's marketing attribution framework Own incrementality testing: design experiments, define holdout groups, and translate results into actionable media planning … ensure martech data flows (AppsFlyer, Google Ads API, Meta Ads API, GCP, Mixpanel) are well-modelled, documented, and trusted Contribute to the design and governance of marketing data models within the broader data platform (Databricks), including gold/silver/bronze layer definitions relevant to marketing use cases ...