Top Tech Jobs & Startup Jobs in London

Own and evolve enterprise IAM platforms: design and operate authentication, identity federation, credential and privileged access solutions. Build SAML/OAuth2/OpenID Connect onboarding, rationalise identity providers, implement Teleport/JIT privileged access, define service account and certificate standards, build APIs and automation, and improve monitoring, logging, and operational maturity while partnering with engineering teams to migrate bespoke systems to standards-based IAM.

Design and implement IAM solutions and scalable systems, collaborate with stakeholders, mentor junior engineers, and manage CI/CD pipelines.

Work within the Data Analytics team to drive data-driven decision making: lead analytics projects, model and simulate business problems, produce end-to-end reporting, visualise insights for technical and non-technical stakeholders, provide technical oversight and mentor colleagues.

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

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 Research Engineer will work with researchers to develop software solutions in quantitative finance, focusing on performance optimization and system scalability.

The Engineering Manager will lead the design and delivery of large-scale engineering systems, manage a high-performing team, and collaborate on a data storage platform.