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

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 ...

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. ...

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 ...

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 ...

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 ...

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 ...

combine machine learning, recommender systems and Generative AI to solve real-world customer problems while delivering measurable commercial impact. 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 ...

data and AI are built into how science gets done. Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 scientists around the world trust Benchling ...

five key areas: (1) Statistical & Mathematical Foundations, (2) Algorithmic Innovation & Implementation, (3) Data-Driven & Scalable Systems, (4) Hardware & Systems Understanding, and (5) Rigorous Experimental Design. Below is a synthesis of how each paper highlights these qualities, with references illustrating why they matter for building robust, impactful deep learning models. … work show how exploiting specialized matrix decomposition, custom memory hierarchies, or quantization approaches can lead to breakthroughs in speed or energy efficiency. 5. Rigorous Experimental Design Controlled Comparisons & Ablations Nearly all papers—Whisper, FSQ, Mamba-2, BASE TTS—use systematic ablations to isolate the impact of individual ...

program within our hybrid work model. Job responsibilities Perform exploratory data analysis, feature engineering, model development, and evaluation using structured and unstructured datasets Design and build prototypes of agentic AI systems, including multi-step workflows that use tools and reason across tasks Apply and experiment with LLM techniques … such as retrieval-augmented generation, tool and function calling, fine-tuning, and agent harness design Develop evaluation frameworks to measure the quality, reliability, and safety of LLM and agent outputs Collaborate with mentors, business stakeholders, and engineers to turn business problems into AI solutions and help move them ...

Stealth - AI x Bio is seeking a senior data scientist to own analysis of functional genomics data, collaborating closely with scientists who design and run screens. You will build scalable pipelines across multimodal readouts such as sequencing, imaging and proteomics to derive robust hits … evidence. You will join the intelligence team in London, working hybrid with regular lab time, and you will help ensure data quality from experimental design through to results presentation to leadership. #J-18808-Ljbffr ...

lead modeling efforts, explore new data sources, and collaborate with cross-functional teams to translate business needs into data science problems. You will design experiments, monitor model drift, and deploy improvements in a regulated environment while communicating complex concepts clearly to stakeholders. #J-18808-Ljbffr ...

development or integration tasks on complex projects.Supporting qualification of new process and product developments which includes Substrate & Epi process.Able to plan and execute Design of Experiments.Delivering presentations with findings and conclusions.Implementing technical process development procedures and standards in projects.Acting as technical mentor for less experienced team members.Supporting technical ...

this position, now or in the future. Responsibilities Own the simulator Own and develop our SimPy-based discrete-event simulator, including its logic, design choices and the fragile areas that need care. Pay down technical debt: improve test coverage, code quality, reproducibility and developer tooling. Build the experiment … based agents, including simulation for RL and Gym-style environments. Strong Python and software engineering fundamentals: testing, code review, maintainable and reproducible code. Rigorous experimental and statistical thinking: benchmarking, tuning, ablations, uncertainty.Experience in robotics, logistics, warehouse or other operations-heavy domains. Publications in major AI, ML, robotics or vision ...

visa sponsorship for this position, now or in the future.ResponsibilitiesOwn the simulatorOwn and develop our SimPy-based discrete-event simulator, including its logic, design choices and the fragile areas that need care.Pay down technical debt: improve test coverage, code quality, reproducibility and developer tooling.Build the experiment infrastructure around … training simulation-based agents, including simulation for RL and Gym-style environments.Strong Python and software engineering fundamentals: testing, code review, maintainable and reproducible code.Rigorous experimental and statistical thinking: benchmarking, tuning, ablations, uncertainty.Experience in robotics, logistics, warehouse or other operations-heavy domains.Publications in major AI, ML, robotics or vision venues ...

repayment and credit outcomes Build and maintain the dashboards, metrics and data models that Product, Credit and Operations rely on Form sharp hypotheses, design experiments (journey changes, pricing, A/B tests) and measure the impact rigorously Get to the root cause of anomalies quickly, whether the cause … discovery, delivery and partner onboarding Launch readiness & operations Define success criteria for each launch and the metrics that show whether it's working Design test scenarios, including edge cases and failure modes, and test the end-to-end customer journey before release Work closely with QA to make ...