Top Tech Jobs & Startup Jobs in London

The Engineering Manager will lead strategy, design, delivery, and operations of research and trading technology systems, managing a talented team and enhancing solutions for developers and researchers.

As an AI Engineer, you will develop and maintain AI platforms and SDKs, deliver workflows for research, define best practices, and embed in business teams to explore new AI opportunities.

As a Data Scientist, you'll refine and transform complex financial data, collaborate with researchers, and analyze third-party datasets to enhance our data platform.

The role involves supporting the delivery of organisational development processes, including performance management, talent planning, and documentation for senior stakeholders while collaborating with the People team.

Design and develop a custom distributed storage platform tailored for large-scale research workloads, focusing on performance and scalability, and collaborating with internal research teams.

The Engineering Manager will lead a high-performing team, define technical strategy, evolve research technology, and enhance research output through efficient innovations.

The Infrastructure Engineer will manage multiple infrastructure projects, lead hardware deployment processes, and collaborate on procurement and logistics across global locations.

Design, build, and operate Kubernetes infrastructure for high-demand workloads, ensuring security, reliability, and scalability while collaborating with research and trading teams.

As a Technical Support Analyst, you will diagnose and resolve technical issues, manage user access, support systems across Windows and Linux, and maintain critical infrastructure with a focus on customer service and technical troubleshooting.

As a Compute Operations Engineer, manage reliable scalable research platforms, automate systems using Kubernetes, and collaborate on technology standards.