76 to 100 of 111 Experimental Design Jobs in London

J.P. Morgan in London seeks an Applied AI Scientist to advance ML and generative AI capabilities. You will design experiments, implement production-ready solutions, and collaborate with product, data, software, and ML teams to deploy scalable AI systems. You will work on large language models, AI agents ...

hiring a research-focused engineer to develop agentic AI systems across heterogeneous models and hardware, turning theory into scalable infrastructure. You will design experiments, analyze memory and task decomposition, and build observability tools that the whole company uses. Strong communication and rigorous discipline are essential. Join a team ...

Junior Data Scientist - Sales & MarketingHybrid in London, United Kingdom We’re looking for a Junior Data Scientist You'll design experiments and build the statistical models that shape how the company reaches new customers. You'll practise mastery of your craft, mentored by the team's data scientist … autonomous and cross-functional, bringing together Marketing, Sales, Brand, and AcquiTech – the company's acquisition technology team, which includes software engineering, product, design, and data science. As a Data Scientist, you'll work with people across each function. The role As a Data Scientist in the Direct Acquisition ...

BigQuery, Dataform, Tableau, Amplitude, and Monte Carlo to build robust data models and semantic layers. You’ll partner with Product and Engineering to design experiments, analyse results, and translate findings into actionable product improvements, while mentoring peers and expanding our data capabilities. #J-18808-Ljbffr ...

across the full training stack, optimize performance, and debug issues that arise during launches. Join a collaborative team spanning SF and London, contributing to experimental design, instrumentation, and operational excellence while shaping the efficiency of large-scale ML systems for safe, beneficial AI. #J-18808-Ljbffr ...

will analyse genomic, transcriptomic and epigenetic datasets, including bulk and single-cell RNA-seq, ATAC-seq, ChIP-seq, methylome and proteomics data, and influence experimental design. Collaboration with academic groups, development of tools, and translation of computational insights into biological hypotheses; strong programming, UNIX/Linux, and statistical #J ...

Google DeepMind in London, UK seeks a Research Scientist to advance robotics pre-training and data quality for foundation models. You will design experiments, manage large multimodal datasets, and push data pipelines toward robust real-world robotics deployments. You will collaborate with cross-functional teams, publish findings ...

company is seeking a Senior Systems Engineer to explore a next-generation AI architecture from rack scale to data centre scale. You will design experiments, benchmark AI workloads and study how hardware and software interact at scale. You will help infrastructure engineers and architects understand system behaviour, performance ...

Faculty Science Limited is seeking a Research Scientist to conduct original technical research in AI safety. You will design experiments, study model behavior, and develop robust tooling to support safe, trustworthy AI deployment. Working with Senior and Lead Research Scientists, you will translate complex technical insights for external ...

models against its codebase, identify hidden vulnerabilities, and build scalable AI-assisted detection pipelines in a highly regulated fintech environment. You will design experiments, evaluate models, and integrate findings into secure software development practices. The role requires deep security knowledge, strong programming skills, and the ability to communicate ...

will analyse complex genomic and multi-omic datasets, including bulk and single-cell RNA-seq, ATAC-seq and ChIP-seq, and contribute to experimental design and data interpretation within the Malanchi Lab. You will develop and maintain bioinformatics tools, work in UNIX/Linux environments, and collaborate ...

modelling, attribution, incrementality testing, predictive modelling, forecasting, and performance measurement. Working with senior stakeholders and partners, you’ll embed a more data-driven, experimental, and performance-focused culture. This is a senior, high-visibility role requiring resilience in a fast-paced environment. You’ll need to simplify complex analysis … Looking For At least 10 years’ experience in marketing analytics, with a strong track record in ROI-focused measurement, MMM, attribution modeling, and experimental design. Proficient in analytics tools and platforms (e.g., Google Analytics 4, SQL, R/Python, CRM and email platforms (Salesforce preferred), Power BI/Datorama ...

driven, intellectually curious Data Scientist who is energized by hard problems in fraud and financial crime. You'll prototype and ship ML models, design experiments, and uncover new fraud signals across our ecosystem — partnering closely with engineers, product managers, and analysts to turn your work into production-grade … systems. Responsibilities: Prototype, evaluate, and help produce machine learning models for fraud detection; own their ongoing monitoring and retraining cycles. Design and run experiments to measure the impact of fraud interventions, balancing customer experience against loss reduction. Size fraud typologies across our product lines to inform prioritization ...

technical accuracy, logical consistency, and sound statistical reasoning. Provide structured, actionable feedback to improve AI model performance. Apply strong quantitative judgment when evaluating experimental designs, analytical methods, and data-driven conclusions. Communicate technical findings and statistical concepts clearly and precisely. Required Qualifications At least 1 year of professional experience … Qualifications Professional experience combining Python, machine learning, statistics, and data analysis . Experience with Pandas and other data science tools. Experience with experimentation and experimental design. Strong understanding of data modeling and quantitative methods. Experience developing analytical datasets or benchmark problems. Background in quantitative roles within technology, finance ...

push the boundaries of what's possible. As a Software Engineering Lead in our AI/ML Solutions Team, you will architect, design, and deliver secure, high-quality production software systems. You will collaborate with product and business teams to set technical vision and execute strategic roadmaps … drive adoption of enterprise-authorized AI-assisted engineering practices and promote consistent validation standards across the team. Job Responsibilities: Execute creative software solutions, design, development, and technical troubleshooting, thinking beyond conventional approaches. Develop secure, high-quality production code, review and debug code written by others. Lead a local ...

push the boundaries of what's possible. As a Software Engineering Lead in our AI/ML Solutions Team, you will architect, design, and deliver secure, high-quality production software systems. You will collaborate with product and business teams to set technical vision and execute strategic roadmaps … drive adoption of enterprise-authorized AI-assisted engineering practices and promote consistent validation standards across the team. Job Responsibilities Execute creative software solutions, design, development, and technical troubleshooting, thinking beyond conventional approaches. Develop secure, high-quality production code, review and debug code written by others. Lead a local ...

staffed by a multidisciplinary team of more than 50 scientists and engineers. As an Automation Scientist at LabGenius, you will spearhead the design, development, and optimisation of cutting‐edge automation techniques pivotal to the next frontier in therapeutic antibody discovery. We're at the exciting intersection of synthetic … integrate automation scripts into our platforms and will maintain documentation, including protocols and technical laboratory reports. You will be involved in the interpretation of experimental results, and recommendation of subsequent experiments or optimizations. You will stay abreast of advancements in lab automation and molecular biology, ensuring LabGenius remains ...

supporting AI engineers, you will partner with one or more engineering teams, developing actionable insights that guide improvements to the Wayve AI Driver. Using experimental and observational analyses of real and simulated driving, you will help teams advance the functionality, safety, and performance of the Wayve AI Driver, helping … it. Desirable: Practical experience with machine learning (e.g. PyTorch). Passion to take research ideas to production. Track record of promoting statistical rigour and experimental best practices in your prior roles. Prior experience using causal inference/econometric techniques and bayesian methodologies for hypothesis testing. Prior experience using large ...

Staff Frontend Engineer will own and evolve the Physical AI platform’s product surface: the data‐heavy, workflow‐centric web experience where engineers design experiments, compare runs, interact with agents, and convert complex test data into decisions. Operating at Staff‐level scope (with openness to exceptional Senior Frontend … Engineers ready to step into staff‐level impact), you will own the frontend end‐to‐end‐including component architecture, design system evolution, performance optimization, and production operations. In this role, you will collaborate closely with Design, Product, and Backend Engineering to design intuitive ...

Staff Frontend Engineer will own and evolve the Physical AI platform’s product surface: the data-heavy, workflow-centric web experience where engineers design experiments, compare runs, interact with agents, and convert complex test data into decisions. Operating at Staff-level scope (with openness to exceptional Senior Frontend … Engineers ready to step into staff-level impact), you will own the frontend end-to-end-including component architecture, design system evolution, performance optimization, and production operations. In this role, you will collaborate closely with Design, Product, and Backend Engineering to design intuitive ...

streamline workflows Troubleshoot technical and conceptual challenges systematically and propose innovative solutions to improve performance Develop and maintain Standard Operating Procedures (SOPs) and ensure experimental reproducibility and compliance with quality standards Collaborate effectively with cross-functional teams (chemists, biologists, engineers, and data scientists) to advance biosensor prototypes from concept … following areas: Proven hands-on experience in biosensor design, electrochemical techniques, and surface chemistry optimisation Proficiency in operating electrochemical instrumentation and analyzing experimental data Demonstrated expertise with biorecognition elements, particularly aptamers, for biosensor applications Strong knowledge of small molecule detection in biological and/or environmental samples ...

catch them, and use them to drive measurable improvement. This is the core loop for any AI product and you will own it. Design for the digitally excluded Get properly close to them: listen to real calls, sit with patients in person, talk to the HCAs and clinicians … care for them. Then design engagement that meets them where they are, not where a product manager would like them to be. Run experiments at service scale Channel, timing, wording, sequencing, voice. Design experiments that produce a real signal across thousands of patients, read the results ...

have the critical judgement not to accept its first answer. What You’ll Do The parts that are specific to this role Design for the digitally excluded Listen to real calls, sit with patients, talk to the HCAs and clinicians who care for them. Then design … like them to be. The hardest patients to reach have the most to gain. Run experiments at service scale Channel, timing, wording, sequencing. Design experiments that produce a real signal across thousands of patients, and kill your own ideas when the data says so. Most of the early ...

next. You’ll identify the opportunity, build the recommendation and confidently lead them towards it. Build brilliant creator programmes You’ll design programmes that systematically drive the creator behaviours our clients need. That might mean: Identifying the creator niches and consumer communities most likely to drive incremental growth. … CMO. Experiment constantly We’re building a new category, so there often won’t be an existing playbook. You’ll form hypotheses, design experiments and use the results to continuously improve the programmes you own. That could mean testing creator segments, gifting strategies, incentive structures, communication cadence, messaging ...

coding, code review, prototyping, AI-assisted development, internal developer platforms, vendor platforms, and modern engineering practices — while expanding accountability to product vision, organizational design, talent enablement, stakeholder management, budget ownership, vendor governance, and delivery outcomes at scale. This is not a traditional “manage from a distance” role. … organization‐wide architectural principles, engineering guardrails, security expectations, and delivery standards that enable multiple teams to move quickly without accumulating unsustainable technical or design debt. Govern the use of AI‐generated code, designs, and architectural proposals across the organization — ensuring leaders and engineers understand when to trust, challenge ...