Top Research Jobs in London

The role focuses on using advanced statistical and ML techniques to analyze financial market data and generate predictive insights.

As a Platform Engineer, you'll build and operate distributed analytics platforms, collaborate with teams to enhance capabilities, and drive improvements in automation and observability.

The Talent Sourcer will identify and engage technical talent, build candidate pipelines, attend networking events, and support the hiring process.

As a Quantitative Developer, you will engineer high-quality software, collaborate with researchers on trading and modeling systems, and optimize performance in financial markets.

As a Research Engineer, you will develop and optimize AI models for drug discovery, collaborating with scientists to advance ML applications in biopharmaceuticals.

As a Quantitative Research Analyst, you will develop models, conduct complex data analysis, and work with stakeholders to optimize investment strategies.

As an AI Research Engineer at Helsing, you'll architect and enhance deep learning frameworks, optimize infrastructure for distributed training, and develop strategies for large datasets while collaborating with a cross-functional team.

You will design, train, and deploy agents in multi-agent environments, enhancing our reinforcement learning capabilities and integrating cutting-edge AI into production systems.

Manage and maintain QRT's network infrastructure and automations. Responsibilities include incident resolution, developing monitoring tools, and supporting network automation.

Develop and enhance high throughput, Linux-based services within a core pricing and risk platform. Collaborate with traders and quants, focusing on low latency and distributed systems in C++ and Python.

Design, implement, and optimize ultra-low-latency C++ systems for trading and market data. Profile and tune CPU, cache, and memory performance, collaborate with FPGA and hardware teams, and integrate network and kernel-level optimizations to minimize latency in live trading environments.

Design and implement AWS deployment strategies, drive CI/CD practices, maintain cloud application monitoring, enhance scalability, and support operational troubleshooting.

Join Qube Research & Technologies as a Network Engineer responsible for designing large-scale datacentre networks, ensuring high-performance connectivity, and collaborating with teams to enhance infrastructure and troubleshooting.

The role involves creating predictive crypto trading signals, monitoring strategies, analyzing data sets, and collaborating with researchers.

Conduct qualitative and quantitative research on third-party equity fund managers, including investment due diligence, fund monitoring, manager meetings, ESG analysis, and written research. Present findings to portfolio managers and the Manager Selection Investment Committee, provide peer review, maintain research data quality, identify investment opportunities, and represent manager research to clients and prospects.

Leads the Prospect Research and Management team supporting high-value fundraising. Develops research strategy, oversees confidential donor and prospect profiles, manages databases and subscription tools, translates complex data into fundraising insights, drives pipeline development, leads cross-functional initiatives, manages vendors and budgets, and mentors four direct reports. Partners with senior philanthropy, corporate partnerships, foundations, analytics, finance, and strategy stakeholders to inform donor cultivation, stewardship, and organizational decision-making.

The Senior Research Scientist will conduct high-impact AI safety research, lead evaluations and red-teaming projects, and support academic publication efforts in applied AI safety.

Design, build, and evolve production-grade trading platforms and data-serving services. Optimize performance, throughput, and efficiency at scale while improving reliability, testing, automation, code quality, and observability. Participate in production support rotations, troubleshoot incidents, and drive operational improvements across distributed data systems.

Build and own data foundations for multimodal agent research, including collection, curation, preprocessing, quality validation, versioning, storage, retrieval, and delivery into training pipelines. Collaborate with research scientists on dataset specifications, evaluation benchmarks, annotation workflows, synthetic data, and preference data. Improve pipeline reliability, testing, documentation, and engineering practices while identifying data bottlenecks affecting research velocity.

Own end-to-end training of vision-language-action and world-action robot policies, from dataset curation and model architecture through distributed training, evaluation, and deployment. Responsibilities include adapting VLM backbones for control, designing action representations, reducing the sim-to-real gap, building action-conditioned world models, and applying supervised fine-tuning and reinforcement learning. The role also contributes to technical direction for embodied AI research.

Research Scientist developing robust 3D reconstruction systems using multi-view geometry, SfM, SLAM, bundle adjustment, deep multi-view stereo, learned matching, and monocular depth. Responsibilities include designing pose estimators and reconstructors, scaling methods to real-world datasets, evaluating accuracy and quality, integrating state-of-the-art models, and collaborating on production deployment. Requires advanced computer vision research expertise, Python and PyTorch proficiency, and practical experience with COLMAP, ORB-SLAM, and Ceres.

Conduct scripted telephone interviews with UK business owners and senior decision-makers for government and social research projects. Accurately record responses, build rapport, listen carefully, meet performance targets, and work flexible daytime shifts from home. Paid training and ongoing support are provided; prior phone-based experience is useful but not required.

Drive net-new Law.com subscriptions across EMEA by building pipeline, executing outbound sales, engaging senior stakeholders, delivering demos and proposals, negotiating contracts, and closing complex B2B deals. Develop regional go-to-market strategy with Marketing, Product, Revenue Operations, Customer Success, and the US team. Provide market intelligence, refine sales processes, support future hiring, and represent Law.com at relevant events and client meetings.

Design and run adversarial single- and multi-agent environments to find concrete failure modes in LLM agents. Orchestrate large-scale experiments against external APIs and internal models, instrument emergent behaviors, catalogue failures, and translate findings into internal models and public research.

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