Top Research Jobs in London

Lead ARIA’s Robot Dexterity Programme translation strategy, moving promising robotics research and prototypes toward customer validation, operational deployment, commercialisation, and scale. Responsibilities include evaluating commercial potential, setting evidence-based milestones, allocating resources, coordinating Creator teams, engaging customers and industry partners, and building shared infrastructure, partnerships, talent, and investment pathways across a complex technology portfolio.

Leads the FCA’s Agentic AI and Data Science Research function, setting AI strategy, governance, research ethics, data science standards, and long-term capability roadmaps. The role directs horizon scanning, responsible AI adoption, model assurance, and advanced analytics initiatives supporting regulation, financial crime reduction, and organisational effectiveness. It provides senior technical advice, leads multidisciplinary teams, develops talent, and influences executive, board, regulatory, and technology stakeholders.

11-week internship performing quantitative research to develop, backtest, and implement automated trading strategies. Translate mathematical models into code, analyze unconventional data sources, conduct statistical research (ML, time-series, NLP), and collaborate with senior researchers to refine trading signals and monetize models.

Lead ARIA’s Scaling Inference Lab, an AI hardware testbed building deployable rack-scale systems. Own programme delivery, operating model, governance, funding strategy, partnerships and long-term sustainability. Represent ARIA in governance forums, assess portfolio progress and risks, guide evidence-based decisions, and build relationships across academia, industry, government, funders and the compute ecosystem. The role requires technical breadth across AI infrastructure, strong programme leadership, senior stakeholder management, and regular UK travel.

Leads IRC’s humanitarian research strategy, teams, and cross-sector projects; serves as a principal investigator and Institutional Review Board Chair; strengthens ethical research systems, data practices, reproducibility, and AI-enabled methods; builds partnerships, publishes findings, influences policy, fundraises, and manages budgets. The role requires extensive research leadership in humanitarian or development contexts, strong publication and fundraising records, and travel up to 25%.

Manage product research and insights across EMEA, serving as a subject-matter expert on active public and private investment products. Conduct competitor, market, client-demand, and asset-flow research; identify product opportunities and strategic gaps; support product development, prioritization, positioning, and lifecycle management. Translate intelligence into commercial recommendations, investment content, and client engagement strategies while influencing senior stakeholders across Product, Distribution, Investments, and Marketing.

Supports equity research on publicly traded real estate securities and REITs by building financial models, valuations, projections, and databases. Analyzes earnings, financial statements, market news, economic forces, and conference calls; drafts research reports and sector updates; develops investment recommendations; and communicates with sales teams, company management, investors, and market contacts. Requires strong finance, valuation, analytical, research, writing, organization, and multitasking skills.

Leads technical advisory and programme-delivery activities for ARIA’s particle-profiling research programme. Reviews proposals and milestones, guides technical discussions, communicates complex science to stakeholders, identifies emerging technologies and risks, develops white papers and open calls, and connects researchers, founders, laboratories, and end users. The role also supports project delivery, technical culture, funding mechanisms, and portfolio-wide learning across ARIA’s Adaptive Machines opportunity space.

Translate business and regulatory requirements into reference data models, datasets, data quality rules, workflows, and documentation. Partner with architects and stakeholders across Trading, Compliance, Operations, and Research. Serve as a subject matter expert on equity and ETF reference data, corporate actions, identifiers, lifecycle processing, and downstream impacts. Support data interrogation using SQL and contribute to system delivery, data dictionaries, entity relationship diagrams, requirements specifications, and exception-management metrics.

Build and implement quantitative risk, portfolio, trading, and data models across equity and fixed-income products. Collaborate with quantitative analysts, portfolio managers, risk teams, and technology partners. Apply Python, database technologies, forecasting, statistical modeling, and diverse data sources while managing multiple projects independently and collaboratively.

Five- to six-month data engineering internship supporting quantitative research and trading platforms. The intern may work on data acquisition, large-scale datasets, data stores, APIs, production datasets, and real-time or batch data infrastructure. Responsibilities emphasize reliability, performance, scalability, and collaboration with researchers, traders, and engineers. Candidates should have computer science fundamentals, Python experience, structured problem-solving skills, and clear communication. SQL or NoSQL knowledge, front-end experience, and financial markets interest are preferred.

As a Quantitative Research Analyst Intern, you will model markets, develop algorithms, and conduct statistical analysis to enhance trading strategies.

Conduct independent research on frontier AI evaluation and auditing. Design rigorous evaluations, audit methods, and reproducible experimental pipelines; analyze model capabilities, risks, robustness, and alignment-relevant behavior. Produce audit reports, recommendations, publications, tools, and presentations while collaborating with technical, policy, engineering, and standards teams. The role requires careful handling of confidential information and may involve pilot audits with frontier AI companies.

Contribute to production FPGA systems for ultra-low-latency trading. Design, optimize, test, verify, and integrate hardware and software components using SystemVerilog, C++, and Python. Analyze latency, resource utilization, and power efficiency while debugging designs and developing functionality for market-data processing and order execution. Collaborate with hardware and software engineers and support research into improved FPGA performance.

Leads quantitative and qualitative primary research engagements from design through delivery. Responsibilities include developing questionnaires and discussion guides, managing survey fielding, conducting focus groups and interviews, overseeing vendors and quality control, analyzing research data, presenting actionable insights, managing multiple client projects, and mentoring early-career researchers.

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.

Research Engineer responsible for optimizing large language model post-training and scaling frontier models for drug discovery. The role involves distributed training and inference performance optimization, fine-tuning and reinforcement learning framework evaluation, bottleneck diagnosis, production system deployment, and low-precision methods. The engineer will collaborate with research and engineering teams across machine learning, computational biology, and chemistry.

As a Quantitative Research Analyst, you will develop and test automated trading strategies using statistical techniques and algorithms, conduct research, and analyze data.

Conduct research, statistical analyses, and develop automated trading strategies using large data sets and sophisticated statistical techniques.

Leads QRT’s global identity and access security capability, including IAM/IGA strategy, PAM, secrets management, authentication, authorization, access governance, and least-privilege programs. The role oversees Active Directory, cloud, application, infrastructure, production, and trading-environment access, while managing the IAM team, vendors, roadmaps, audits, incidents, and security improvements.

Leads strategic internal and external communications for the NIHR Biomedical Research Centre, covering media relations, social media, website, newsletters, publications, events and campaigns. Develops content, manages communications planning and brand compliance, evaluates audience engagement, builds relationships with media and stakeholders, supports senior spokespeople, and contributes to crisis communications. The role may include line management, committee representation, occasional travel, evening and weekend work, and reactive press support.

Conduct hardware-aware AI research: generate ideas, design and run ML experiments, implement performant scalable systems, publish and present results, and collaborate with researchers, silicon and software engineers to guide next-generation AI hardware.

Lead the research and design organization across Airalo’s consumer and B2B products. Set design strategy, unify product experiences, own brand expression within the product, and establish scalable design systems, accessibility standards, quality processes, and career frameworks. Partner with Product and Marketing, use research to shape the roadmap, develop design leaders, and build the team needed to support the company’s growth.

Own ScienceFair as an end-to-end business and product, including P&L, global revenue growth, student outcomes, product strategy, operational scalability, compliance, and contractor management. Build sales enablement, operational systems, dashboards, and feedback loops while coordinating Indigo Research, Crimson Education, country sales teams, mentors, and internal operations. Drive product iteration across regional, international, ISEF, and LevelUp offerings, with potential to build and lead a dedicated team as the program scales.

Conduct quantitative equity research supporting alpha generation, risk management, and portfolio construction. Build multifactor models using linear, nonlinear, and machine learning approaches; evaluate structured and alternative datasets; analyze risk exposures, optimization, performance attribution, and portfolio positioning; and provide recommendations to portfolio managers. Contribute to research projects, product development, fund pitches, client communications, and internal research publications.