26 to 50 of 116 Experimental Design Jobs in London

coding assistants as the default mode of building; direct, validate, and course-correct AI-generated code at engineering speed. Go beyond vibe coding: design and build agentic workflows that automate delivery end-to-end, and run delivery bot meshes as part of day-to-day engineering, guiding … engineering, or evaluation.Experience designing, training, evaluating, or tuning machine learning or deep-learning models using frameworks such as PyTorch or TensorFlow.Experience with statistical analysis, experimental design, or building data pipelines using platforms such as Databricks or Apache Spark.Experience using AI-assisted software development tools, such as Claude ...

gain hands-on experience working alongside senior researchers and industry experts in a collaborative environment. You will be involved in data collection, algorithm development, experimental design, and analysis, contributing directly to research outputs that have real-world applications. This role is ideal for fresh graduates ...

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 ...

build and operate production AI. As a Vice President Machine Learning Data Scientist in Payments Machine Learning, you will lead the design, development, and production deployment … of machine learning applications, including generative AI and agentic systems, on cloud infrastructure. You will own end-to‐end delivery from problem framing and experimental design through scalable MLOps, evaluation, governance, and integration with strategic systems. You will help set technical direction, establish reusable patterns, and ensure ...

with agentic engineering, including agentic coding tools, specification-driven or evaluation-driven development, or multi-agent orchestration Practical experience with statistical data analysis and experimental design Practical software development experience in collaborative settings Excellent communication skills and strong executive presence, with credibility as a thought leader ...

flow of proprietary data on our journey to develop generalised solutions applicable across diverse multi-modal tasks. What you'll do Form hypotheses, design experiments, and drive original research on open problems from leading robotics and AI customers Research and prototype agentic workflows which can handle multimodal inputs ...

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 ...

develop horizontal capabilities through APIs, libraries, and thought leadership. You will collaborate with Line of Business AI teams to address priority use cases, design and build services, and promote best practices in AI. Your role will involve mentoring a team of AI engineers and ensuring the firm stays … have worked in one of the top commercial AI research labs Deep understanding of AI fundamentals and practical experience with data analysis and experimental design Recent hands-on experience training, deploying models and pipelines Familiarity with distributed computing patterns for training, serving, persistence of state Experience ...

functional genomics data, working day to day with the scientists who design and run the screens. You will work with them from experimental design through to picking hits, and build the pipelines that let the analysis keep up as screening throughput grows. This … build the analysis on top of that, and you own its quality. Your first 90 days FIRST 30 DAYS Learn how the scientists design and run the screens, and what each readout produces, from sequencing to imaging and proteomics. Review the analysis and QC that exist for CRISPR ...

imperfect information and changing priorities, and finding practical ways around blockers. Clear written and verbal communication in English, combined with attention to detail and experimental rigour. You can explain quantitative and technical findings concisely to technical and commercial stakeholders and keep artefacts disciplined and reproducible. A collaborative team attitude … Desirable experience: Exposure to computer vision, multimodal AI, vision‐language models, embeddings, captioning, retrieval, data curation or related Visual AI workflows. Experience with benchmarking, experimental design, performance analysis, or using AI coding tools to build working scripts, dashboards or small applications. Familiarity with Linux, Docker, cloud platforms ...

Game Designer, Inception, DeepMind corporate_fare DeepMind place London, UK Bachelor’s degree or equivalent practical experience. 5 years of experience in game design, including … more shipped commercial titles. Experience architecting agentic workflows and implementing generative AI models within a game production or software development pipeline. Experience managing experimental design projects or research and development initiatives. Experience with UI/UX systems or mechanics that focus on player accessibility and cognitive load ...

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 ...

with automated QA tooling and test coverage practices Any experience with marketing, ecommerce, or advertising data Exposure to Bayesian methods, marketing mix modelling, or experimental design Not required You do not need prior experience with marketing mix modelling, attribution methodology, incrementality testing, or Bayesian modelling. These ...

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 ...

platform. We're scaling our Boston screening platform and releasing a public foundation model this year. You're the person who makes our experimental output computationally actionable. Relocation? Yes Compensation £50k-£70k, depending on experience, plus equity & benefits Location London Reports To Saif Ur-Rehman (Director, Data Engineering) Responsibilities … scientist with hypotheses, not a technician with a task list. Perturbation data quality. You own the validation layer between the bench and the models. Experimental drift, contamination, batch effects, protocol deviations: you catch them before they corrupt model training. Reproducible analytical infrastructure. As methods mature, you convert ...

from ideation, discovery and scoping through experimentation, production deployment, monitoring and iteration, measuring their impact against agreed business outcomes. Act as the technical design authority for AI, setting direction across architecture, model selection, data and retrieval strategies, fine-tuning, evaluation and deployment, and making the hard calls … outcomes: framing the business question, setting baselines, choosing the right metric and delivering measurable results rather than just models. This comes with statistical rigour: experimental design, sound validation, and an instinct for leakage, bias and overfitting in messy real-world data. Strong ML fundamentals across classical ...

with agentic engineering, including agentic coding tools, specification-driven or evaluation-driven development, or multi-agent orchestration Practical experience with statistical data analysis and experimental design Practical software development experience in collaborative settings Excellent communication skills and strong executive presence, with credibility as a thought leader ...

solutions while supporting the continued growth and development of our professional workforce. Key Responsibilities Product analytics — Define metrics for new and existing features. Design and analyse A/B tests end-to-end: hypothesis, sample sizing, statistical readout, and decision recommendation. Diagnose user behaviour, identify drop-off points … window functions, CTEs, query optimisation. Strong Python — pandas, numpy, scipy, statsmodels (or equivalent); able to build analysis pipelines, not just notebooks. Solid applied statistics — experimental design, hypothesis testing, sample sizing, multiple testing correction, regression, causal inference fundamentals. You know when a statistical method fits and, more importantly ...

quantisation, sparsity, model compression, low-precision computation) Spiking systems, neuromorphic computing and computational neuroscience Hardware-aware machine learning (memory bandwidth, inference efficiency, energy modelling) Experimental design and evaluation (baselines, ablations, robustness, computational cost) Requirements: Bachelor’s, Master’s or PhD in Maths, Neuroscience, Computer Science, Physics, Engineering … numerical methods, information theory or statistical learning Strong Python and PyTorch (or JAX) experience, with a solid understanding of transformers and LLM architectures Rigorous experimental mindset, with the ability to move between mathematical reasoning, experimentation and implementation Research publications, open-source contributions or substantial independent projects (industry experience ...

cases within the domain Deliver multiple agents that collaborate to solve large, complex problems, orchestrate end-to-end workflows, and scale across JPMC Design and build services and libraries that AI teams want to use Mentor and inspire a team of AI engineers, fostering a culture of excellence … Skills: Research experience or work in a top commercial AI research lab Deep understanding of AI fundamentals and practical experience with data analysis and experimental design Proven track record of deploying AI/ML applications in a production environment at scale Familiarity with distributed computing patterns ...

cycle end-to-end: identify user needs, define success, build evaluations, diagnose failures, and work with engineers and product managers to improve outcomes.. Design, build, and evolve evaluation systems, including datasets, benchmarks, metrics, and automated pipelines that support development and launch decisions.. Evaluate response quality across multiple dimensions … engineering mindset: you can turn analytical ideas into reliable, maintainable pipelines and tools.. A solid foundation in mathematical statistics and practical experience with experimental design, sampling, uncertainty, and measurement bias.. Strong analytical judgment: you understand what a metric captures, what it misses, and whether an observed improvement ...

Steinback (CEO) to help us understand and improve how our AI assists writers.Here are some examples of areas you will be working in: Design and implement evaluation frameworks for complex, subjective AI outputs (like writing feedbackthat's meant to inspire rather than just correct) Build flexible evaluation pipelines … integrate with our existing systems Background in human-computer interaction, computational creativity, or writing research Experience with A/B testing, statistical analysis, and experimental design Familiarity with modern AI observability and monitoring tools Published research or deep interest in AI evaluation methodologies Interest in writing (fiction ...

deeply analytical Marketing-focused role Strong Python and SQL knowledge Strong grounding in the statistical methods behind predictive modelling and forecasting Strong grounding in experimental design and causal inference (e.g. geo holdouts, synthetic control, power analysis) Excellent written and verbal communication skills and presenting to non-technical ...

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 ...