Top Research Jobs in London

As a Front Office Quantitative Developer, you will enhance quant technology for algorithmic trading, collaborating with traders and quants to support 24/7 strategies.

Deliver analytics of trading data, develop reports/tools for risk management, and contribute to portfolio management and strategic analysis.

Develop and enhance core technology for systematic trading, including front-office systems and automation of trading strategies. Collaborate with traders and quants.

Lead LSEG's Oil Research capability by setting strategy, guiding supply/demand analysis, strengthening modelling and data workflows, developing a distributed research team, partnering with Product/Sales/Technology, and representing the business externally to deliver commercially impactful oil-market insights.

Manage the firms equity and futures liquidity programme: oversee liquidity intelligence, analyse execution and market structure, run expansion roadmap, coordinate stakeholders and external partners, prepare governance reporting, and drive low-latency and venue/product initiatives to inform liquidity strategy.

Manage and grow the Academy sponsorship portfolio through new sponsor acquisition, upselling and account support. Conduct outreach and sales calls, maintain CRM pipelines, engage sponsors regularly, coordinate internal delivery, and contribute to sponsorship and course experience improvements informed by market trends.

Full-cycle recruiter responsible for sourcing and closing elite Research Scientists, Software Engineers, and Robotics engineers. Partner closely with founders and technical leaders, build scalable sourcing and screening workflows (Ashby/ATS), run a fast, candidate-friendly hiring process, and use data and automation to optimize pipeline health and conversions.

Design, build, test, and deliver scalable machine-learning and NLP systems and large-scale data pipelines. Integrate ML models into production, write maintainable tested code, collaborate cross-functionally, and drive research-to-product development in an agile environment.

Conduct original research on interpretability of large AI models, prototype visualization and manipulation techniques, collaborate with engineers to productionize tools, publish and open-source results, and help define research direction focused on mechanistic understanding and model steering.

Lead growth of IFF's Higher Education portfolio by building client relationships, winning work, designing and leading high-profile HE research, shaping innovative methodologies, contributing to proposals and commercial discussions, and promoting thought leadership across the sector.

Conduct original AI safety research by designing and running experiments on transformer-based LLMs, applying white-box and black-box interpretability methods, developing reproducible Python research code and tooling, documenting results in papers and reports, and translating findings for external partners and stakeholders.

Seeking freelance qualitative and quantitative researchers and facilitators to work on UK-focused, values-led projects on an ad-hoc basis. Responsibilities may include conducting research, analyzing data, facilitating conversations, and producing reports.

Drive end-to-end research and engineering on vision-language and multimodal models: data curation, training pipelines, post-training workflows (fine-tuning, distillation, RLHF), efficiency and deployment optimizations, distributed GPU training, evaluation frameworks, and publishing research.

As a Software Engineer, you will develop solutions for a cutting-edge trading system, enhance a petabyte-scale data platform, and apply engineering best practices.

The Senior Clinical Research Associate will manage the operational aspects of clinical trials, ensuring compliance with regulations and monitoring sites to ensure patient safety and quality of studies.

Lead the Research team in developing scalable machine learning solutions, mentoring junior engineers, optimizing model training, and collaborating on real-world engineering problems.

Lead and manage a client service team delivering healthcare-focused qualitative market research. Coach staff, oversee project delivery, budgets, billing, quality, and process improvements while collaborating with senior management and sales to ensure client satisfaction and project profitability.

The role involves optimizing training for large language models, debugging complex issues, designing experiments, and maintaining production infrastructure, while managing operational challenges during launches.

The Associate Data Scientist will work on developing and optimizing machine learning models, collaborating with teams to tackle pricing and matching challenges.

Lead end-to-end integrated market research projects for global pharmaceutical clients, designing methodologies, managing cross-functional teams, delivering actionable insights, and supporting business development. Serve as primary client contact, mentor junior staff, and collaborate across IQVIA to innovate solutions using primary research and IQVIA data assets.

The Senior Research Scientist will innovate and optimize models for real-time learning, collaborating across domains to enhance efficiency and impact, with a strong focus on practical applications and measurable outcomes.

Lead marketing initiatives at Whetstone Research, create digital content, manage contributors, and prioritize strategies in blockchain and crypto.

Manage and grow corporate subscription accounts for research-intensive clients by selling complex, AI-enabled knowledge solutions. Build account strategies, identify cross-sell/upsell opportunities, negotiate contracts, forecast pipeline in CRM, deliver high-stakes presentations, collaborate with Product/Marketing/Customer Success, and conduct market and customer research to inform sales approaches.

Develop and maintain OpenTelemetry SDKs, libraries and collectors; build instrumentation patterns for C# and Python across Kubernetes and non-Kubernetes workloads; embed observability standards; scale telemetry backends and pipelines; improve incident response through better telemetry and AI-assisted engineering; support platform and application teams and participate in on-call rotation.

Lead long-horizon R&D to define future decision intelligence: explore reasoning architectures, prototype and formalize system primitives, evaluate new signal classes, and translate research into reusable components aligned to strategic product direction.