Research Engineer, Machine Learning (RL Velocity) at Anthropic Limited
Anthropic Limited · London, UK
- Occupation group: Software & IT
- Licensed sponsor: Anthropic Limited
Employer on register 23 October 2026 Ad mentions sponsorship
From the advert
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster. This is high-leverage work: small improvements to velocity compound across every researcher and every run.
Responsibilities
Build and improve the RL training infrastructure that researchers depend on day-to-day
Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed
Partner closely with researchers and with adjacent engineering teams (inference, sandboxing, and many more) to understand pain points and ship tooling that makes them faster
Own the reliability and performance of research runs end-to-end
Contribute to design decisions that shape how Anthropic does RL at scale
You may be a good fit if you
Have strong software engineering fundamentals and a track record of building performant, reliable systems
Have worked on ML infrastructure, distributed systems, or research tooling
Care about enabling other people's work and find leverage through platforms rather than individual experiments
Are comfortable operating across the stack, from low-level performance work to RL algorithms
Have a bias toward shipping and iterating quickly, with a mix of high agency and low ego
Strong candidates may also have
Experience with large-scale distributed training (RL…
Advert text as supplied by the employer's job board; it may be a shortened extract.
Summary
Research Engineer, Machine Learning (RL Velocity) at Anthropic Limited in London. Anthropic Limited is listed on the Home Office register of licensed sponsors (23 October 2026). Read the full job advert and apply on the employer's or job board's site. A sponsor licence means the employer is on the Home Office register. It does not mean this role is sponsored. Check with the employer. This is not immigration advice.
Read the full advert and apply
A sponsor licence means the employer is on the Home Office register. It does not mean this role is sponsored. Check with the employer. This is not immigration advice.