Research Engineer, Machine Learning (RL Velocity)
Anthropic · London, United Kingdom
Evidence
The posting says Anthropic sponsors visas, and Anthropic is on the UK Home Office register.
Sponsor register
UK Home Office Register of Licensed Sponsors
Listed as Anthropic Limited. London · Skilled Worker route · A rating. Snapshot 26 Oct 2026.
Job posting
Visa sponsorship: We do sponsor visas!
On job-boards.greenhouse.io/anthropic, read 26 Oct 2026.
Still open
Seen on the job board
First seen 25 Oct 2026. We check every day and remove closed roles.
Where you apply
job-boards.greenhouse.io/anthropic
Anthropic’s job board, hosted by Greenhouse.
Being on the register means Anthropic can sponsor visas. It doesn’t confirm this role qualifies, so check with the recruiter.
About the role
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.
Similar roles
Visa sponsorship: We do sponsor visas!