Top Research Jobs in London

The role involves defining and pursuing a research project in general-purpose world models, collaborating with teams to advance visual AI.

Work across modeling, data, systems, and evaluation to make video foundation models expressive, controllable, and personalized. Build adaptation and personalization pipelines, define end-user quality metrics and evaluations, and collaborate with product and design to deploy production-ready model variants for creative partners.

Lead quantitative research and index methodology design for equity and multi-asset strategies. Drive independent research, translate models into production with Engineering, build analytics and AI-enabled research infrastructure, support client engagements and business development, mentor team members, and contribute to strategic direction and product innovation.

Front-office quantitative role supporting mortgage and ABS trading across European markets. Build and implement mortgage pricing, loan-level cashflow and recovery models, automate pricing/surveillance frameworks, and work closely with portfolio managers on complex non-agency and illiquid securitized assets.

Develop and benchmark 3D computer vision and localisation systems (SLAM, visual odometry, scene matching, geo-registration, 3D reconstruction). Extend geometric deep learning and feature-matching methods, design experiments and benchmarks, adapt models to hardware constraints, and collaborate with research, engineering, and product teams to deploy robust AI solutions.

Partner with Technology leaders to design hiring strategies, advise on compensation and candidate alignment, lead recruitment across tech functions, analyze recruitment metrics, optimize TA processes and interview frameworks, and build long-term talent pipelines via market mapping and proactive sourcing.

Build large-scale data pipelines and infrastructure for frontier AI model training. Develop data-processing models such as classifiers, quality filters, and labeling systems; design deduplication, quality scoring, labeling, and augmentation strategies; and create reliable tooling for researchers to explore and train on massive datasets. The role also evaluates how data quality and composition affect model outcomes, with web crawler experience as a bonus.

Build and operate large-scale distributed web crawlers that discover, fetch, extract, deduplicate, and recrawl billions of pages. Develop targeted pipelines for audio, video, and multilingual data, transforming web content into training-ready datasets. Create infrastructure and tooling for researchers to request, monitor, evaluate, and explore crawled data, while ensuring reliability, efficiency, compliance, politeness, and rate-limit handling.

Deploy and optimize frontier AI models for real-time production use at scale. Responsibilities include improving inference latency, throughput, and cost through quantization, distillation, KV-cache optimization, batching, and custom kernels; building high-performance streaming serving systems; and creating tooling that enables safe, efficient model deployment.

Build, own, and maintain internal benchmark suites for single- and multi-turn content and agentic guardrails; create benchmarks distinguishing model capabilities; extend evals to new verticals and product features; collaborate on research quantifying realistic LLM and agent failure modes; support product integration of core model functionality.

Lead Sparta's research output and voice: set editorial standards, manage publishing cadence, host the podcast and client-facing events, coach commodity analysts, build supply-and-demand fundamentals, and partner with Sales, Marketing and founders to turn research into commercial value.

Lead ML engineering role bridging deep model research and production. Own end-to-end ML systems, translate research findings into engineering work, turn production regressions into research probes, and set architectural direction. Collaborate with Data & Analytics and Global Delivery, mentor others, and build evaluation, federation, and serving infrastructure with technical autonomy.

10-week on-site Data Science internship in London supporting data discovery, enrichment and analysis for quantitative research. Tasks include data blending, statistical analysis, exploratory data analysis, visualization, building tooling, and collaborating with data scientists to scale and automate data processes.

10-week summer ML research internship based in Central London. Work on a supervised research project using advanced ML methods, mentored by senior researchers, with access to large compute, culminating in a final presentation. Top performers considered for full-time roles.

10-week London-based summer research internship applying mathematical modelling, ML/deep learning, optimisation and back-testing to extract predictive signals from financial time-series. Interns complete an independent research project with mentorship, present findings to senior management, and may be considered for full-time roles.

Own large-scale LLM inference performance: profile, benchmark and optimise inference workloads across GPU architectures; design and implement inference optimisations, reference implementations and tooling; collaborate with researchers and platform teams to deploy efficient, cost-effective NLP solutions.

Conduct fundamental research across equity and debt capital structures in emerging, frontier, and developed markets. Build and maintain financial models, screen investment opportunities, monitor portfolio assets, manage private investments and restructurings, engage company management and industry experts, and travel to conferences and company visits to support portfolio managers and traders.

Lead planning, creation and delivery of index research content for UK and DACH markets. Produce thought leadership, market commentary, and client-facing articles; collaborate with editorial, marketing and sales; oversee research process, distribution and performance review to elevate VettaFi's index authority in Europe.

Build scalable network automation applications across frontend and backend. Collaborate with network engineers and stakeholders to define requirements, implement modular UIs and services, maintain code quality, testing, CI/CD, documentation, and adopt best practices and tooling within Agile delivery.

Lead and scale user research across Core Banking, define strategic research direction, partner with senior stakeholders, manage and coach research managers (6-8 reports), synthesize qualitative and quantitative insights, and embed a global research operating model to inform product and organisational strategy.

Analyze large-scale post-trade data to review and refine client trading behaviour, implement performant C# production code, collaborate with research, engineering and front office, monitor real-world changes, and deliver medium-term strategic projects and urgent commercial improvements.

Own and evolve enterprise IAM platforms: design and operate authentication, identity federation, credential and privileged access solutions. Build SAML/OAuth2/OpenID Connect onboarding, rationalise identity providers, implement Teleport/JIT privileged access, define service account and certificate standards, build APIs and automation, and improve monitoring, logging, and operational maturity while partnering with engineering teams to migrate bespoke systems to standards-based IAM.

Lead and execute penetration tests and vulnerability assessments across infrastructure and applications (Kubernetes, Jenkins, Windows Domain Services). Deliver remediation guidance, assess security controls, support Risk/Compliance and Detection teams, build automation/tooling, and mentor junior team members to improve overall security posture.

Serve as the primary post-sale value partner for a portfolio of customers, driving adoption and repeat usage of UserTesting. Advise on research best practices and methodology selection, translate research into practical guidance, support account planning and renewals, identify adoption risks, connect customers to internal teams, and maintain engagement documentation using tools like Planhat, Gong, and Salesforce.

Lead competitive intelligence and market research to inform product and fund strategy across asset classes. Manage vendor relationships, develop reporting, perform custom analysis to support product development, prioritization, positioning, and mentorship within the Firm & Product Strategy function.