Top Research Jobs in London

The Research Scientist Manager will lead a global team in foundational machine learning research, focusing on advanced algorithms and AI systems, mentoring team members, and participating in the entire research lifecycle including coding and experimentation.

Conduct in-depth credit research, develop investment recommendations, monitor existing investments, and present findings to investment committees. Requires advanced analytical skills and experience in credit research.

The Director of Research will lead investment analysis for cyclical sectors like Energy and Commodities, providing equity investment recommendations and managing the research agenda for the team.

The job involves designing and managing automated identity and access management processes, implementing integrations, and ensuring security compliance. Responsibilities include lifecycle management, application integration, platform enhancement, and continuous improvement of IAM capabilities.

Lead a high-calibre team in advancing AI research, focusing on transformer models and collaboration with product and engineering teams. Oversee talent development and establish best practices in machine learning methodologies for retail solutions.

The Technology Research Analyst will conduct research on technologies, author reports, engage with stakeholders, and support business development activities.

This internship focuses on research in programming languages and compilers, particularly OCaml. Interns will work on compiler projects, improving performance and usability, collaborating with mentors over 10-12 weeks.

Teza seeks quantitative research interns to create trading hypotheses and conduct research within investment groups. Interns will present at a global conference and work alongside professionals in finance and technology.

Cohere is looking for a Research Intern to conduct machine learning research, focusing on large language models and associated areas, while disseminating findings through publications and practical applications in product development.

Develop systems that enhance high-performance trading platforms, focusing on workload distribution and real-time support for quantitative researchers.

As a Performance Engineering Manager, you'll lead the Compute Performance Engineering team, optimizing large-scale workloads across Linux HPC and Kubernetes. Responsibilities include strategy development, team leadership, profiling workloads, and enhancing compute infrastructure for better performance.

As a Quant Developer, you will enhance the research framework and support quantitative research teams, optimizing trading tools and systems.

The Elastic Platform Engineer will manage and evolve the Elastic SIEM and Tines infrastructure, ensuring its stability and security while mentoring junior engineers. Responsibilities include planning upgrades and collaborating on security operations.

As a Quant Developer, improve research frameworks, develop tools for trading strategies, and support the quantitative research team on-site.

As a Research Intern, you'll work with machine learning experts to apply statistical methods to real-world finance problems, develop models, and implement software solutions.

The role involves developing a derivatives pricing library, collaborating with traders and supporting model integration into pricing systems.

The role involves managing and improving the Network Infrastructure team's documentation and process library, ensuring clarity and consistency in workflows.

As a Technology Business Analyst, you will analyze business requirements, support trading platforms and systems, and improve processes at QRT.

The Quantitative Research Manager leads research to improve trading systems, develop new trading signals, and manage an alpha generating portfolio. Responsibilities include collaborative team research and effective communication across departments.

The role involves researching AI misalignment, developing evaluation methods, and collaborating with AI companies and governments to ensure safe AI deployment.

Develop technical safeguards against AI-generated CSAM and NCII by researching, designing, and creating methodologies for open-weight models in a collaborative environment with various stakeholders.

The role involves designing, implementing, and running experiments to study AI's societal effects, focusing on high-impact risks from frontier AI deployment.

The role involves researching and engineering methods to assess and counter misuse of AI systems, focusing on large language models, and requires expertise in AI security techniques and collaboration with other teams.

The Research Scientist will advance paradigm-shifting AI research, focusing on Gemini Diffusion, through collaborative prototyping and solving key challenges.

The Research Scientist will develop and refine large Vision-Language Models, conduct performance analyses, and collaborate across teams for multimodal tasks.