Looking for research engineer machine learning jobs in London with visa sponsorship? Anthropic is hiring a Research Engineer, Machine Learning (Reinforcement Learning) for a full-time hybrid role in London.
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Research Engineer Machine Learning Jobs in London: Overview
| Job Title | Research Engineer, Machine Learning (Reinforcement Learning) |
| Employer | Anthropic |
| Location | London, UK (hybrid, at least 25% in office) |
| Salary | £260,000–£630,000 per year |
| Job Type | Full-time, permanent |
| Experience | Industry experience in machine learning research; proficiency in Python and ML frameworks |
| Visa Sponsorship | Efforts made for successful candidates |
| Closing Date | Not specified in the available job information (rolling basis) |
About the Employer
Anthropic is a public benefit corporation headquartered in San Francisco focused on creating reliable, interpretable and steerable AI systems. The Reinforcement Learning teams lead research and development that has contributed to Claude models, including impacts on autonomy and coding capabilities. The company works as a collaborative team on large-scale research efforts at the intersection of research and engineering.
Job Responsibilities
- Architect and optimise core reinforcement learning infrastructure from training abstractions to distributed experiment management across GPU clusters
- Design, implement and test novel training environments, evaluations and methodologies for RL agents
- Drive performance improvements through profiling, optimisation and benchmarking
- Implement efficient caching solutions and debug distributed systems
- Collaborate across research and engineering teams to develop automated testing frameworks and scalable infrastructure
- Contribute to fundamental RL research and prototype development for internal use and evaluation
Requirements
- Essential: Proficiency in Python and async/concurrent programming; experience with ML frameworks such as PyTorch, TensorFlow or JAX
- Essential: Industry experience in machine learning research and ability to balance research with engineering implementation
- Essential: Strong systems design, communication and code quality practices
- Desirable: Familiarity with LLM architectures, reinforcement learning techniques, Kubernetes, distributed systems or Rust/C++
- Not required: Formal certifications, academic research experience or publication history
Visa Sponsorship and International Applicants
Anthropic confirms it sponsors visas. However, sponsorship is not guaranteed for every role or candidate. If an offer is made, the company states it will make every reasonable effort to obtain a visa and retains an immigration lawyer to help with the process. Hybrid work requires at least 25% time in a company office.
Browse more Visa Sponsorship Jobs for additional confirmed opportunities.
Salary and Benefits
- Competitive annual salary range of £260,000–£630,000
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- High salary range
- Visa sponsorship efforts
- Cutting-edge RL research
- Sponsorship not guaranteed for all
- Hybrid office requirement
- Rolling applications
How to Apply
Applications are submitted online through Anthropic’s Greenhouse careers portal. Provide a resume or LinkedIn profile and complete the application questions, including a response on why you want to work at Anthropic. Applications are reviewed on a rolling basis with no fixed closing date.
Application Tips
- Review Anthropic’s AI partnership guidelines for candidates before applying
- Highlight relevant RL, systems or LLM experience in the application
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