National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Research Engineer, Machine Learning (Horizons) (Greater London)

Anthropic
London
1 week ago
Applications closed

Related Jobs

View all jobs

Machine Learning Researcher

Machine Learning Researcher - NLP / LLM

Machine Learning Research Engineer

AI Research Engineer, PhD

Lead Research Engineer – SLAM / State Estimation / Computer Vision / Robotics

Computer Vision Engineer

Research Engineer, Machine Learning (Horizons)

London, UK

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We aim for AI to be safe and beneficial for users and society. Our team is a growing group of researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role:

As a Research Engineer on the Reinforcement Learning Fundamentals team, you will collaborate with researchers and engineers to advance the capabilities and safety of large language models through fundamental research in reinforcement learning, enhancing reasoning abilities in areas like code generation and mathematics, and exploring reinforcement learning for agentic / open-ended tasks.

Representative projects:

  • Develop and implement novel reinforcement learning techniques to improve the performance and safety of large language models.
  • Create tools and environments for models to interact with, enabling complex, open-ended tasks.
  • Design and conduct experiments to enhance models' reasoning capabilities, especially in code generation and mathematics.

You may be a good fit if you:

  • Have 5+ years of industry-related experience
  • Are proficient in Python and experienced with deep learning frameworks such as PyTorch or Jax
  • Possess a strong software engineering background and enjoy working closely with researchers and engineers
  • Enjoy pair programming
  • Care about code quality, testing, and performance
  • Are passionate about AI's potential impact and committed to developing safe, beneficial systems

Strong candidates may also:

  • Have a background in machine learning, reinforcement learning, or high-performance computing
  • Have experience with virtualization and sandboxed code execution environments
  • Have experience with Kubernetes
  • Have contributed to open-source projects or published research papers in relevant fields

Candidates need not have:

  • Formal certifications or educational credentials
  • Prior experience with LLMs or machine learning research

Deadline to apply:Rolling review; no fixed deadline.

The expected salary range is provided separately.

Logistics

Education:Bachelor's degree or equivalent experience in a related field.

Location-based hybrid policy:Expectation of being in the office at least 25% of the time; some roles may require more.

Visa sponsorship:We sponsor visas when possible; we will make reasonable efforts to assist if you are offered the role.

We encourage applicants from diverse backgrounds and those who may not meet every qualification to apply.

How we're different

We focus on big science and impactful research, valuing collaboration, communication, and impact in AI safety and steerability. Our research directions include GPT-3, interpretability, multimodal neurons, scaling laws, and more.

Come work with us!

Based in San Francisco, we offer competitive compensation, benefits, flexible hours, and a collaborative environment.

Apply for this job

Fields marked with * are required.


#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Mistakes Candidates Make When Applying for AI Jobs—And How to Avoid Them

Avoid the biggest pitfalls when applying for artificial intelligence jobs. Discover the top 10 mistakes AI candidates make—plus expert tips and internal resources to land your dream role. Introduction The market for AI jobs in the UK is booming. From computer-vision start-ups in Cambridge to global fintechs in London searching for machine-learning engineers, demand for artificial-intelligence talent shows no sign of slowing. But while vacancies grow, so does the competition. Recruiters tell us they reject up to 75 per cent of applications before shortlisting—often for mistakes that could have been fixed in minutes. To help you stand out, we’ve analysed thousands of recent applications posted on ArtificialIntelligenceJobs.co.uk, spoken with in-house talent teams and independent recruiters, and distilled their feedback into a definitive “top mistakes” list. Below you’ll find the ten most common errors, along with actionable fixes, keyword-rich guidance and handy internal links to deeper resources on our site. Bookmark this page before you hit “Apply”—it could be the difference between the “reject” pile and a career-defining interview.

Top 10 Best UK Universities for AI Degrees (2025 Guide)

Discover the ten best UK universities for Artificial Intelligence degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right AI programme for you. Artificial Intelligence continues to transform industries—from healthcare to finance to transportation. The UK leads the way in AI research and education, with several universities consistently ranked among the world’s best for Computer Science. Below, we spotlight ten UK institutions offering strong AI-focused programmes at undergraduate or postgraduate level. While league tables shift year to year, these universities have a track record of excellence in teaching, research, and industry collaboration.