1 to 25 of 52 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 … science - not solely academic or research-lab experience. Strong statistical and probabilistic reasoning , with hands-on fluency in confidence intervals, 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 ...

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 ...

Technical Lead, translating scientific needs and emerging technologies into priorities and achievable delivery plans. Own standards for submitted data, metadata and curation, including experimental descriptions and sample relationships. Define additional quality controls and suitability criteria for downstream analysis, visualisation and reuse. Lead the development, validation and improvement of reproducible … Nextflow workflows. Ensure analytical methods suit the experimental design and that outputs are documented, versioned and traceable to their source data and reference annotations. Plan and coordinate work across team members, balancing service operation with development. Monitor community demand, backlogs and turnaround times, and manage capacity, milestones ...

data science together with practical experience operating within modern data platforms, MLOps environments and software engineering workflows. ## Your role **Data Science & Analytics*** Design, develop and deploy statistical, insightful, AI and machine learning solutions to solve operational challenges.* Explore large and complex datasets to identify trends, patterns … technical stakeholders.* Effective collaboration within multidisciplinary teams, supported by strong problem-solving, documentation and critical-thinking skills.**Desirable Skills & Experience*** Advanced statistical modelling, experimental design, forecasting, anomaly detection, model optimisation or explainability.* Deployment and operation of machine-learning models, including monitoring, drift detection and performance management.* Awareness ...

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 ...

data science together with practical experience operating within modern data platforms, MLOps environments and software engineering workflows. Your role Data Science & Analytics Design, develop and deploy statistical, insightful, AI and machine learning solutions to solve operational challenges. Explore large and complex datasets to identify trends, patterns and actionable … technical stakeholders. Effective collaboration within multidisciplinary teams, supported by strong problem-s solving, documentation and critical-thinking skills. Desirable Skills & Experience Advanced statistical modelling, experimental design, forecasting, anomaly detection, model optimisation or explainability. Deployment and operation of machine-learning models, including monitoring, drift detection and performance management. ...

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 ...

with experience building robust analytical solutions and working with large and complex datasets. Deep understanding of statistical modelling, machine learning, predictive analytics, and experimental design. Demonstrated experience working directly with senior business stakeholders, translating commercial requirements into analytical solutions and communicating technical findings to non-technical audiences. Experience leading ...

premises models, with agents, MCP tools, and A2A interoperability delivered in partnership with AI Engineering. About the Role: You will independently design, develop, evaluate, and operationalize complex AI/ML solutions. You will contribute hands‐on technical expertise, apply rigorous experimentation and MLOps/LLMOps practices, improve modeling … education and industry experience. Advanced Python proficiency with Pandas, NumPy, scikit‐learn, and PyTorch or TensorFlow; SQL and practical data preparation skills. Strong statistics, experimental design, hypothesis testing, ML validation, and applied classification, regression, ranking, clustering, forecasting, and anomaly detection knowledge. Hands‐on LLM prompting, embeddings, model ...

premises models, with agents, MCP tools, and A2A interoperability delivered in partnership with AI Engineering. About the Role: You will independently design, develop, evaluate, and operationalize complex AI/ML solutions. You will contribute hands-on technical expertise, apply rigorous experimentation and MLOps/LLMOps practices, improve modeling … education and industry experience. Advanced Python proficiency with Pandas, NumPy, scikit-learn, and PyTorch or TensorFlow; SQL and practical data preparation skills. Strong statistics, experimental design, hypothesis testing, ML validation, and applied classification, regression, ranking, clustering, forecasting, and anomaly detection knowledge. Hands‐on LLM prompting, embeddings, model ...

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 ...

what matters: trust, ownership, and the freedom for people to do great work without unnecessary layers or bureaucracy. We're fully remote by design, genuinely global, and united by a shared mission to make travel simpler for everyone. Your Next Destination Location: Remote. Contract: Full-time, permanent. Benefits … measurement (attribution, incrementality or marketing mix modelling), with a track record of analysis that changed real budget decisions. Solid grounding in causal inference and experimental design: randomised and quasi-experimental methods such as synthetic control and difference-in-differences, simulation-based power analysis to size ...

Monitor models in production, identify performance drift, propose improvements, and support ongoing recalibration or retraining where required. Apply probability and statistical inference to design experiments, interpret results, and provide clear recommendations to stakeholders. Contribute to high quality data practices by identifying data quality issues, supporting cleaning and normalisation ...

model is scientifically ready to move forward: review validation, robustness across batches, sites and instruments, and the risk of overfitting. Spectral interpretation and experimental design (about 40%) Interpret raw optical signatures from plasma and nanoparticle samples; diagnose artefacts such as baseline drift, autofluorescence, scattering and instrument variability. … information-rich and scarce clinical samples are used well. Mentor scientists and data scientists on the physics of the data and on rigorous experimental practice. External scientific partners (about 20%) Lead the scientific relationship with CROs, contractors and academic groups: write technical statements of work, set data and code ...

Generalisation , will investigate how the composition, diversity and annotation of biological training datasets influence model performance and generalisation. The successful candidate will design and undertake controlled computational experiments to identify which dataset properties contribute to model capabilities and distinguish genuine generalisation from memorisation, data leakage and similarities between … programming skills and practical experience of training, adapting or evaluating machine-learning models. You will also have an understanding of the main computational and experimental techniques used in generative or engineering biology. You will demonstrate strong quantitative and analytical skills, including experimental design, statistical analysis ...

written communication skills. Strong machine learning and statistical background. Write code and review others' in a shared codebase in Python. Practical SQL knowledge. Design experiments and collect data. Experience with distributed analytics and data tooling such as Spark and Databricks. This role has on-call shifts, as part ...

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 ...

turn great methodologies into scalable, production‐ready solutions. What you’ll do Your days will be dynamic. You might find yourself: Leading the design and development of advanced retail media measurement methodologies using customer, transaction, campaign and exposure data. Developing our capabilities across areas including attribution, incrementality … supporting their professional growth. What we’re looking for Experience in marketing effectiveness or advanced analytics, with expertise across areas such as attribution, experimental design, causal inference, regression, forecasting, segmentation and machine learning. Advanced Python and SQL skills, with experience building modular, well‐tested and maintainable analytical ...

Experience building customer lifetime value, survival, propensity or churn models, ideally for a subscription business and used to drive CRM or marketing activity Strong experimental design and causal inference: A/B tests, holdouts and control groups, uplift measurement and incrementality Experience feeding model outputs into paid ...

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 ...

deliver value to real users at scale. Part of your day-to-day Own, debug, and improve production pipelines for accuracy and efficiency. Design, build, and iterate on LLM evals and LLM-as-a-judge systems, including the datasets, metrics, and benchmarks to monitor quality. Run rigorous experiments … individual with an experiment- and data-driven researcher mindset with good coding habits. This includes: Solid machine learning/data science background : you understand experimental design, data splits, metrics, bias, and statistical significance, and you know when a result is real. Hands-on experience applying LLMs ...

agent orchestration Designing and running model evaluations Cloud deployment, containers and CI/CD Understanding AI attack surfaces and failure modes Applied statistics and experimental design Experience in AI safety, adversarial ML, AI red teaming, technical assurance or Defence/Secure Government environments would be highly advantageous. ...

significantly increase marketing spend next year. Key responsibilities: Own and develop MMM to measure channel effectiveness, diminishing returns and marginal acquisition costs. Design incrementality experiments, including geo tests and conversion-lift studies. Build and enhance Customer Lifetime Value (LTV) models. Improve marketing attribution and measurement in a privacy … accelerate analysis, experimentation and reporting. What we're looking for: Strong hands-on experience in MMM and marketing measurement. Excellent statistical, causal inference and experimental design skills. Strong SQL and Python capabilities. Understanding of paid media, attribution and customer acquisition economics. Commercially minded, with the ability ...

language. You will turn promising research into practical experiments and product improvements. Responsibilities Research multimodal approaches for speech, audio, video and behavioural analysis Design experiments, evaluation methods and calibration studies Prototype new scoring and coaching techniques Work with engineering teams to move successful ideas toward production Document findings … Python and experience with modern ML research tools Experience in at least one of computer vision, speech/audio analysis or multimodal learning Sound experimental design, statistics and model-evaluation skills Ability to balance research quality with practical product needs Nice to have Advanced degree or equivalent ...

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 ...