Top Research Jobs in London

The Quantitative Research Analyst Intern will develop models, implement trading strategies, and conduct statistical analysis during an 11-week program.

The Research Engineer will advance AI research, implement ML experiments, collaborate with engineers, and publish findings at conferences.

The Product Marketing Lead will position Wise for potential customers, drive adoption through campaigns, and translate customer insights into effective product narratives.

Design, develop, and deploy software solutions for automated trading systems while collaborating with researchers on technology priorities.

Lead the development and integration of advanced safety systems for scientific AI applications, building a team and establishing a research strategy.

As a Research Scientist, develop new visual generative AI ideas, work on multimodal modelling, and collaborate on hardware-aware AI algorithms and systems.

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.

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

Assist with cyber threat research, malware analysis, and tool development in a collaborative remote internship. Complete a project in 12 weeks.

The Manager of Marketing Solutions develops sponsorship platforms, collaborates with teams, and manages proposals, focusing on brand storytelling and partnerships in sports and entertainment.

Lead European leveraged finance research team covering high yield and distressed credit. Manage nine analysts, shape coverage strategy, produce timely credit research and actionable investment ideas, oversee restructuring and recovery analysis, set KPIs and best practices, mentor staff, and collaborate with legal, editorial, commercial, and marketing teams to maximize subscriber value.

The role involves researching and developing large language models (LLMs) with a focus on transformer architecture, data curation, distributed training, and optimization. Responsibilities include conducting experiments, collaborating with teams, and staying updated on deep learning advancements.

The role involves partnering with sales executives to generate leads, research prospects, and help meet sales targets through strategic plans and outreach efforts.

Committee members will review and approve research requests to access real-world data, ensuring the applications serve the UK public and improve cancer patient outcomes.

The role involves developing solutions for AI-generated code post-training, collaborating with a team, and innovating new products with a focus on high-quality coding standards.

This role leads AlphaGen's Investor Research Product Engineering, focusing on cloud-native transformation, AI integrations, and enhancing research workflows while ensuring governance and cross-functional collaboration.

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.