Top Tech Jobs & Startup Jobs in London

The Staff Software Engineer will enhance Kubernetes scheduling for multi-cloud environments, design core services, ensure reliability, and collaborate with various teams to optimize performance.

Design, run, and interpret large-scale reinforcement-learning experiments; build benchmarks for long-horizon RL; diagnose scale-dependent failures; and translate validated findings into production training recipes while collaborating with research and engineering teams.

Design, build, and operate highly reliable, scalable CI infrastructure and test systems across multiple clouds. Develop intelligent test selection, merge queue management, incident automation, flake detection, and developer-facing tooling to improve developer productivity and CI reliability at scale.

Support regional commercial and technology transactions by drafting, reviewing, negotiating, and closing SaaS, services, reseller, and IP licensing agreements. Build scalable contracting processes, coordinate regional-global legal priorities, roll out process improvements and enablement, and partner with Product, Sales, Finance, Procurement, and Research teams to mitigate risk and drive efficient contract lifecycle management.

The Incident Response Manager will coordinate incident responses, establish processes, and ensure effective communication across teams during high-stakes situations while fostering a learning-oriented environment.

As a Research Engineer in Reinforcement Learning, you will develop and optimize RL infrastructure, push boundaries in AI research, and collaborate on scalable systems for large language models.

The role involves optimizing training for large language models, debugging complex issues, designing experiments, and maintaining production infrastructure, while managing operational challenges during launches.

Lead a London-based connectivity engineering team building proxy, OAuth, and token-management infrastructure for Anthropic products. Hire, coach, and develop engineers; drive roadmap, cross-org alignment, reliability, incident response, and engineering best practices; collaborate with SF teams and partner product, security, and platform groups.

As a Research Engineer, you'll improve RL training infrastructure, identify bottlenecks, collaborate with teams, and enhance reliability of research runs.

As a Staff Software Engineer, you'll work on large-scale distributed systems, optimizing performance for AI inference, and managing complex infrastructure challenges.