Top Research Jobs in London

Join the Pretraining team to design and implement model architectures, optimizers, and data pipelines; run and analyze experiments; scale and optimize training infrastructure; and develop tooling across the stack to advance large language model research and production.

Analyze market risks through VaR and stress testing, enhancing risk reporting, and collaborating with trading and risk teams.

Lead product discovery and delivery for an AI platform serving life-sciences R&D. Partner with design, engineering, and data science to define requirements, prioritize features, and measure outcomes. Engage researchers and R&D users to ground decisions in workflows, and help scale enterprise AI/data products from concept through launch.

Design and implement IAM solutions and scalable systems, collaborate with stakeholders, mentor junior engineers, and manage CI/CD pipelines.

Lead a three-month evidence review and synthesis on livelihoods interventions and provider organizations. Define impact metrics and an evidence-levels framework, review studies for ~20 organizations, synthesize what works and why, incorporate findings into a cost-effectiveness model, and help draft a decision memo recommending whether to launch a new fund. Work closely with Prevail's research team and contribute independent, judgment-driven analysis.

Provide part-time support for centralised volunteering activities: produce and improve resources and guidance, advise stakeholders, ensure compliance with policy and legislation, use insight to drive improvements, champion equality, and manage multiple priorities to deliver excellent volunteer experiences.

Lead and execute laboratory, phantom, benchtop, and in-vivo experiments for non-invasive optical neuromonitoring. Own experimental workstreams from protocol design to analysis and reporting, develop and validate tissue-mimicking phantoms, acquire physiological optical data, troubleshoot systems, generate datasets to support product development and ML, and communicate findings to cross-functional teams while mentoring junior staff.

Lead applied research and engineering to build production-grade video foundation models. Work includes developing latent video diffusion models, designing conditioning for controllability, scaling distributed multi-GPU training, improving training stability, building evaluation frameworks, and optimizing inference for low-latency, high-resolution deployment.

Own full 360° sales cycle for Lexology PRO: prospecting, discovery, tailored demos, pipeline management in Salesforce, collaboration with SDRs, marketing, and CS to meet monthly revenue targets and improve conversion.

Lead and grow a small user research team across B2B2C and small-business neobank products. Set research strategy, oversee mixed-methods programs, establish ResearchOps, coach researchers, influence execs with customer insights, and align research to business outcomes across two product lines.

Manage and operationalize research programmes across foundation model and methods work: plan roadmaps, run cadences, track milestones and dependencies, surface and resolve risks, coordinate cross-functional and external partners, support resourcing and research outputs, and communicate progress to stakeholders to enable research teams to focus on science.

Research, prototype, and deploy ML models for physiological sensing (radar, audio, other signals). Design experiments, implement production-grade models for cloud and on-device inference, optimize for constrained compute, collaborate with clinical and engineering teams, and contribute documentation and regulatory evidence.

Design, build, and productionise large-scale optimisation models and bespoke solvers for last-mile scheduling, assignment and pricing. Translate operational requirements into mathematical programming and heuristic solutions, benchmark and monitor performance, and work cross-functionally with engineering and analytics to deploy and evolve automated decision systems.

Work within the Data Analytics team to drive data-driven decision making: lead analytics projects, model and simulate business problems, produce end-to-end reporting, visualise insights for technical and non-technical stakeholders, provide technical oversight and mentor colleagues.

Lead end-to-end qualitative research projects for FMCG clients: manage project teams, client relationships, deliver discussion guides and reports, ensure quality, profitability, and contribute to business development. Hybrid role with occasional domestic UK travel and focus on brand, communications, product testing and consumer insight.

Recruit and schedule healthcare respondents across Austria, Switzerland and assigned markets via phone and email; build and engage panel members; verify registrations; handle inquiries, investigate fraud, perform link testing, and report progress to project management to meet study timelines and targets.

Conduct market and regulatory analysis across financial risk management and RiskTech/RegTech markets. Produce reports, vendor assessments, competitive analysis and thought leadership. Support client briefings, presentations, conferences, and advisory engagements, collaborating with research, sales, marketing and consulting teams.

Join Verve as an Insight Associate, focusing on AI-powered market research. Learn to design research, interpret human behavior, and contribute to client projects using AI tools.

Design, develop, test, and maintain scalable R Shiny applications for clinical data review, visualization, QC, and reporting. Build reusable modules and utilities (R, SAS, Python), integrate cloud data sources, validate to regulatory/GxP standards, optimize performance, perform testing, and support study teams.

Build full-stack tools for AGI safety research: evaluation IDE, LLM-powered search, comparison views, streaming results, collaborative log editing, pipelines, agents, and telemetry. Collaborate with researchers and product to deliver robust, extensible software.

Conduct empirical research into AI "scheming": design and run RL experiments on LLMs, build model organisms, develop scalable evaluation techniques, study scaling laws and AI cognition, and collaborate with partner labs to influence deployment and mitigation strategies.

Support day-to-day finance operations: run Procure-to-Pay and Order-to-Cash cycles, manage supplier and customer invoicing, prepare payments, follow up overdue balances, reconcile multi-entity multi-currency bank accounts weekly, and ensure accurate transaction recording in Xero.

Conduct independent, governance-focused research on AI scheming and loss-of-control risks; produce reports, papers, legal analyses; collaborate with technical teams, policymakers, and external researchers; mentor junior researchers and shape team strategy.

Build and maintain backend tools for AGI safety research: eval libraries, orchestration for parallel agentic evaluations, LLM proxy and telemetry, CI optimizations, data warehousing, and researcher-facing tooling. Lead feature development, collaborate with researchers, and promote good software design and reliability.

Design, run, and automate pre-deployment evaluations of frontier AI models. Analyze large model transcripts to surface behaviors, build scalable evals, collaborate with AI labs, and improve evaluation pipelines and tooling.