Top Research Jobs in London

As a Research Scientist in Personalization, you'll improve Spotify's personalization experiences using machine learning and generative AI, collaborating with interdisciplinary teams and publishing research to enhance search and recommendation systems.

Lead and grow the Nature Research Assistant engineering team, define technology strategy, design system architecture, and deliver AI-driven features. Hands-on development in Kotlin/http4k and React/Remix, mentor developers, implement CI/CD and TDD practices, collaborate with stakeholders, triage production issues, and support scaling and onboarding activities.

As a Finance Intern at Mentis AI, you will assist in building financial models, performing deep financial analysis, and collaborating with ML engineers to improve AI systems in finance.

This residency offers exposure to AI in finance, focusing on prompt development, evaluating AI judgments against human reasoning, and constructing financial models for AI systems.

Join the Pretraining team to design and implement model architectures, optimizers, and data pipelines; run and analyze experiments; scale and optimize training infrastructure; and develop tooling across the stack to advance large language model research and production.

The role requires leveraging financial knowledge and analytical skills to develop mathematical models predicting financial market movements, utilizing strong quantitative and computing skills in research.

As a Software Engineer, you'll transform systems, design high-performance distributed systems, and contribute to engineering growth and success.

The role involves developing and optimizing machine learning models and collaborating on research projects with quantitative researchers.

Join as a Database Platform Engineer to design, build, and operate critical database platforms, ensuring high availability and performance in a collaborative environment.

G-Research seeks a Quantitative Researcher to use machine learning and statistical methods to analyze global financial markets. A Master's or PhD in a quantitative field is preferred, but prior finance experience is not necessary.

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.

Conduct research using machine learning techniques to develop investment strategies, leveraging extensive data and computational resources.

The role involves developing machine learning models, optimising system performance, and collaborating with diverse teams on innovative projects.

Design, build and maintain network automation frameworks, infrastructure-as-code, APIs and CI/CD integrations to provision and manage global network infrastructure. Implement observability, partner with Platform/Network/Security teams, contribute to incident response and ensure scalable, production-ready networking automation.

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

As a Machine Learning Performance Engineer, you'll optimize large-scale workloads across GPU and CPU infrastructure, collaborating with researchers and engineers to improve performance and capabilities of research workloads.

The People Operations Coordinator manages the employee lifecycle, HR services, and systems to ensure smooth operations and supports visa processes.

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

Lead a team of data scientists to innovate in experimentation and causal inference, enhancing decision-making and product strategies through evidence-based methodologies.

The role involves developing impactful research on digital assets, client engagement through insights, and contributing to product development and market analysis.

The Network Engineer will architect and manage the network infrastructure at QRT, focusing on colocation and delivering high-performance, low-latency network solutions while collaborating with project management teams.

As a Research Engineer, you will develop ML solutions in quantum computing, bridging research and implementation, and ensuring communication between teams.

The Research Scientist will innovate in reinforcement learning, driving research projects, implementing algorithms, running experiments, and collaborating with peers to achieve impactful results.

The Vice President of Research Operations leads the organization's research strategy, overseeing partnerships, grants, and operational excellence while fostering innovation and collaboration across teams.

Lead teams in foundational AI research, focusing on ML and NLP development. Innovate and share technical findings in AI model training, collaborating with global experts.