Top Research Jobs in London

Conduct hardware-aware AI research: generate ideas, design and run ML experiments, implement performant scalable systems, publish and present results, and collaborate with researchers, silicon and software engineers to guide next-generation AI hardware.

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

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

Partner with XVA trading and counterparty credit risk to design, develop, and deploy quantitative models and analytics for pricing and risk management. Translate business needs into solutions, provide production support, own implementation with Technology, and drive model governance and validation.

Conduct market microstructure research and develop quantitative models for equity algorithmic execution. Analyze large trading datasets, backtest methodologies, run A/B experiments, build analytics and data pipelines, validate production models, and collaborate with technology and client teams to industrialize research and produce client-facing materials.

Perform equity research for business services: build and update financial models, maintain databases and comparables, write sector and company reports, prepare pre/post-results updates, develop client relationships, attend company conferences, respond to client requests, and generate investment ideas.

Develop and deploy reinforcement learning systems that autonomously test modern web applications. Build agents capable of perceiving applications through vision and structure, exploring edge cases, learning from sparse rewards, scaling across environments, and transferring knowledge between applications. The role requires shipping production ML systems, advancing RL methods, and optimizing agents for large-scale GPU infrastructure.

Research and analyze European gas and LNG markets, including fundamentals, pricing, infrastructure, trade flows, policy, regulation, and geopolitics. Develop commercially relevant market insights and outlooks, engage with clients, support presentations and events, and collaborate across energy research teams. The role focuses particularly on Northwest European markets, including Germany, the Netherlands, and Belgium, while contributing to coaching and team development.

Leads the CEO’s executive communications and external engagement strategy, including speeches, media, social media, thought leadership, stakeholder engagement, and high-profile government interactions. Acts as a trusted advisor and external-facing chief of staff, providing political intelligence, reputational counsel, preparation, real-time support, and triage. Coordinates executive positioning, manages engagement opportunities and networks, coaches senior spokespeople, and ensures alignment across ARIA’s communications, policy, and leadership teams.

Lead ARIA’s multidisciplinary Data & Tech function, covering product management, engineering, data, platforms, and AI enablement. Build organisational technology capabilities, internal products, workflows, automations, and integrations. Establish architecture, technical standards, governance, platform engineering practices, and responsible AI adoption while balancing innovation, security, resilience, and sustainability. Grow the team, develop talent, shape operating models, and partner with stakeholders and IT Operations to deliver scalable technology-enabled improvements.

Provide technical application support for TIBCO, managing incidents and changes, creating documentation, and applying service improvement principles.

Act as the primary contact for suppliers, ensuring effective communication and performance management while supporting the Supplier Account Manager.

Train and post-train LLMs using SFT/RLHF/DPO, build reward models and large-scale data pipelines, run distributed multi-GPU training, design evaluation benchmarks, and optimize models for production inference and serving.

You'll oversee the post-training pipeline, improve AI models, ensure production code quality, and collaborate with teams to enhance product user experience.

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.

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.

The role involves developing an ML research and deployment pipeline, implementing best practices in model and feature management, and ensuring robustness in production through effective solutions and collaboration.

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.

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.