Top Research Jobs in London

The Manager will lead business development, deliver complex projects, manage consulting teams, ensure client satisfaction, and drive innovation in life sciences consulting.

As a Regional Research Economist, you will analyze AI's economic impacts, collaborate with entities, and develop methodologies for economic measurement, influencing policy and business decisions.

Design, implement, and optimize a low-latency high-frequency trading platform for cryptocurrency markets; collect market data, disseminate orders, analyze throughput/latency, build performance tools, and develop access to historical data and simulation systems.

Maintain, support, and improve the firm's low-latency Linux trading infrastructure and cloud environments. Automate provisioning, configuration, and monitoring across thousands of servers, manage core services (DHCP, LDAP, DNS, NFS), tune AWS for high-performance trading, participate in cloud design reviews, and provide 24/7 operational support including on-call rotations.

Partner with quantitative traders and researchers to design, build, deploy, and support production-grade Python reporting and analytical tools, integrate alternative datasets, and deliver insights for trading strategies and performance monitoring.

Build and integrate AI-augmented workflow automations and lightweight frontends. Implement middleware, APIs and CI/CD/Docker deployments, prototype interfaces, collaborate with stakeholders, document pilots, and iterate on pilot tools to transition solutions into BAU.

Lead execution of a £20m AI-enabled formal methods cybersecurity programme: run 8-week sprint cycles, coordinate red/blue-team testing, sharpen technical targets and assurance claims, engage stakeholders, and drive translation toward field trials, adoption, and deployment.

Lead technical delivery for a programme reducing AI hardware cost by 1000x: review proposals, benchmark hardware/software, advise Programme Director, drive project delivery, engage ecosystem, author technical outputs, and sustain cross-programme insights.

Design, run, and interpret large-scale reinforcement-learning experiments; build benchmarks for long-horizon RL; diagnose scale-dependent failures; and translate validated findings into production training recipes while collaborating with research and engineering teams.

Support research on video generation and understanding by implementing state tracking, evaluating consistency and causal/physical constraints, exploring unified generation-understanding and hybrid low-latency architectures, validating interactive capabilities in simulated/game scenarios, building evaluation metrics, and tracking relevant academic and open-source work.

The Research Program Manager will oversee cross-functional programs focused on enhancing training infrastructure, ensuring reliability, and facilitating effective communication among multiple teams in a high-paced environment.

As an ML Research Engineer/Scientist, you'll develop machine learning models for Boltz Lab, collaborating with ML researchers and domain experts in chemistry and biology to enhance drug discovery processes.

The Research Intern will conduct machine learning research, focusing on large language models, and disseminate results through publications and code while collaborating with Cohere researchers.

The Senior Research Engineer will create high-fidelity virtual environments, build simulation pipelines, and integrate various sensors for developing autonomy in drones and satellites.

The Research Engineer will work with researchers to develop software solutions in quantitative finance, focusing on performance optimization and system scalability.

Design and maintain codebase, tools, and services for training AI models. Write clean, efficient code and optimize distributed systems.

As a Research Engineer in ML, you'll optimize large-scale ML systems, collaborate with Research Scientists, enhance models, and implement algorithms in Python.

Contribute to NLP/ML research projects, develop benchmarks, train large language models, and publish findings at conferences.

Develop and optimize performance-critical C++ systems for trading and market data, collaborating with FPGA engineers and focusing on low-latency architecture.

The Quantitative Researcher will create predictive signals, analyze data patterns, and implement models within a global execution platform, leading the entire research strategy cycle.

The Senior Applied Research Engineer will enhance Spotify's media experiences by leading research and engineering efforts in audio and video systems, focusing on signal processing, perceptual quality, and production integration.

The Engineering Manager will lead the design and delivery of large-scale engineering systems, manage a high-performing team, and collaborate on a data storage platform.

The Infrastructure Architect will design and oversee the infrastructure roadmap, focusing on private cloud and on-premises environments, ensuring alignment with business objectives and technology standards.

The Product Manager will enhance the Ipsos iris reporting interface, manage collaboration with teams, gather requirements, execute testing, and maintain documentation within an Agile framework while utilizing audience measurement tools.

The Data Analyst will conduct data analysis on audience behavior, generate insights, create reports, and coordinate between teams to improve decision-making and client communication.