51 to 75 of 111 Experimental Design Jobs in London

machine learning research, quantitative analytics, and AI engineering, contributing to both model development and data infrastructure initiatives. Key Responsibilities Quantitative Machine Learning Research Design, develop, and deploy machine learning models for prediction problems across financial markets. Build and maintain predictive models focused on issuer credit deterioration, transaction costs … approaches. State‐space models. Regime‐switching frameworks. Hierarchical modelling. Multi‐task learning. Survival analysis. Hazard models. Event‐driven modelling. Rare‐event prediction. Statistical inference. Experimental design. Multiple‐testing correction. Conformal prediction techniques. AI and Large Language Models Large language models. Retrieval‐augmented generation. Document understanding systems. Information extraction. Long ...

machine learning solutions that translate business objectives into measurable outcomes for clients and customers. Working alongside global experts in collaborative teams, you will design scalable data platforms and pipelines, develop production-ready models, create intuitive dashboards, and help support strong data governance, privacy, and compliance. Leveraging modern tools … building scalable data infrastructure to deploying AI models and visualization tools, we transform complex data into actionable intelligence. Data & AI at JPMorganChase is not experimental‐it is embedded across the firm. Our capabilities support critical functions including trading, fraud prevention, wealth management, and cybersecurity, delivering measurable value at enterprise ...

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 ...

evaluations, guiding technical discussions from discovery through proof of concept. Partner directly with data scientists, engineers, and technical leaders to advise on experiment design, statistical methodology, measurement frameworks, and experimentation architecture. Help customers build scalable and trustworthy experimentation programs by educating teams on best practices in experimentation, metric … need to have: 5+ years of experience in Data Science, Experimentation, Analytics, Applied Statistics, or a related field with a strong foundation in experimental design and causal inference. Hands‐on experience designing, running, and analyzing A/B tests and applying advanced experimentation methodologies, including variance reduction ...

general responsibilities will include, but are not limited to, the following activities: Work with group members and collaborators as well as independently on experimental design, data analysis, visualization, and interpretation To prepare work for publication and grant submissions To present at seminars and conferences as necessary ...

just to report metrics, but to uncover hidden problems (e.g. return reason clusters, per-bank failure patterns, specific merchant collection behaviours) and design experiments to solve them. Recovery and Retries: Own how failed collections are recovered, from retry timing and dunning to the merchant-facing tooling that reduces ...

complex media analytics. The ideal candidate will have 5+ years of experience, strong SQL and Python skills, and proven expertise in digital attribution and experimental design. #J-18808-Ljbffr ...

analyse and evaluate agentic systems rigorously enough to say where and why they go wrong, and we use what we learn to design better ones. We are not simply building a better harness; the best harness will change with every new model, task and generation of silicon. … Evaluations or benchmarks you built that other people went on to use Broad training in empirical method, potentially from a field outside machine learning – experimental design, Bayesian inference, model selection, significance testing, uncertainty quantification Experience with automated grading and model-based judging, and a rigorous account of ...

must be able to articulate the impact of our work clearly and concisely, to a wide range of stakeholders. An empirical mindset. You design experiments, measure outcomes, and use metrics to validate and demonstrate impact. Willingness to learn Go and modern Perl, including asynchronous programming. Strong attention ...

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 ...

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 ...

Spotify’s Personalization team is seeking a researcher to advance ML/AI for large-scale personalization. You will design experiments, develop models and evaluation frameworks, and contribute to publications and talks while collaborating with cross-functional partners to shape long-term product opportunities. You will have ...

Valarian Technologies Limited is seeking an experienced AI Harness Engineer to own the experimental design, evaluation methodologies, and benchmark infrastructure for AI models and autonomous workloads. You will bridge data science, statistical validation, and production agent scaffolding, collaborating across teams in a hybrid London-based setup. … role emphasizes rigorous hypothesis testing, robust metric design, and hands-on Python tooling to advance evaluation pipelines and guardrails for #J-18808-Ljbffr ...

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 ...

language models. You will work at the intersection of cutting-edge research and practical engineering to build safe, steerable AI systems. You will design experiments, scale training infrastructure, and collaborate with teammates across disciplines. A strong background in Python, PyTorch, and ML fundamentals is required, with advanced degrees ...

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 ...

portfolio. You will collaborate with Data Scientists, Product, and Engineering to deploy robust features and maintain observability for safe model launches. You will design experiments, handle time‐based data leakage, and communicate results clearly, leveraging Python for model training and productionizing features across core products. #J-18808-Ljbffr ...

quality analyses. You will apply Agentic AI and LLM methods and work across diverse projects in a collaborative, tech-driven environment. You will guide experimental design, build bespoke analysis pipelines, and mentor colleagues while contributing to scientific advancement and capability development. #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 ...

boundaries of what generative modelling can achieve in complex, high‐dimensional, and noisy real‐world systems, and to see your work tested directly in experimental biology. Day to day, you will Design and implement generative modelling approaches that learn intervention effects from diverse biological data, including single … cell perturbation experiments. Develop models that go beyond correlation, focusing on generalisation, counterfactual prediction, and experimental design. Collaborate with experimental teams to design and validate computational hypotheses via iterative strategies that identify the highest‐signal next experiment. Evaluate models not just for fit, but for causal ...

move from seller to buyer. This role sits at the intersection of technical depth and strategic impact. You’ll dive into data pipelines, design experiments, and help steer shipping strategy and commercial outcomes by providing clear, data-driven recommendations. #J-18808-Ljbffr ...

guiding product development toward innovative features and experiences. In a fast-paced, startup-like environment within the bank, you’ll deliver directional insights, design experiments, define success metrics, and own the analytics roadmap to drive customer outcomes. #J-18808-Ljbffr ...

picked up centrally Run the regional intake process, working with local market and business teams to source, qualify and prioritise experiment ideas Design experiments that answer a clear business question, defining the hypothesis and success measures Implementation Manage end-to-end delivery of the regional experiment pipeline, from ...