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Research Engineer, Machine Learning (Reinforcement Learning)

AnthropicLondon, UKAI Research & Engineering
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Salary
Not listed
Job type
Full-time
Posted
11 Feb 2026
Status
Open · checked 7d ago

About this role

Role Overview

Anthropic is hiring a Research Engineer, Machine Learning (Reinforcement Learning) in London, UK, to help build reliable, interpretable, and steerable AI systems. This position is ideal for professionals who want to blend fundamental research with software engineering to advance large language models and autonomous agent capabilities.

Key Responsibilities

Architect and optimize core reinforcement learning infrastructure, spanning clean training abstractions and distributed experiment management across GPU clusters.
Scale existing systems to effectively handle increasingly complex research workflows and large-scale training.
Design, implement, and test novel training environments, evaluations, and reinforcement learning methodologies for autonomous agents.
Drive performance improvements across the entire tech stack through profiling, optimization, and benchmarking.
Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation pipelines.
Collaborate closely with cross-functional research and engineering teams to build automated testing frameworks, design clean APIs, and create scalable infrastructure.

Requirements

Proficiency in Python, alongside experience with async and concurrent programming using frameworks such as Trio.
Practical experience utilizing machine learning frameworks like PyTorch, TensorFlow, or JAX.
Professional industry experience in machine learning research.
Ability to effectively balance exploratory research with robust engineering implementation.
Enthusiasm for pair programming and a strong dedication to high code quality, thorough testing, and optimal performance.
Exceptional systems design and communication skills.
Passion for the potential impact of artificial intelligence and a commitment to developing safe, beneficial systems.
Minimum of a Bachelor’s degree in a relevant field of study, or an equivalent combination of education, training, and professional experience.
Ability to comply with a location-based hybrid work policy requiring staff to be in the office at least 25% of the time.

Nice to Have

Familiarity with large language model architectures and specialized training methodologies.
Hands-on experience with reinforcement learning techniques and distinct environments.
Experience working with virtualization and sandboxed code execution environments.
Background using Kubernetes for container orchestration.
Experience designing distributed systems or engaging in high-performance computing.
Working knowledge of Rust and/or C++.

Skills and Tools

Python
PyTorch
TensorFlow
Kubernetes
Rust
C++
LLM

Salary and Benefits

Annual base salary ranging from £260,000 to £630,000 GBP.
Visa sponsorship support provided for eligible candidates, assisted by a dedicated immigration lawyer.
Competitive compensation and benefits package.
Optional equity donation matching.
Generous vacation time and parental leave.
Flexible working hours.
Access to a collaborative office space in London.

About the Company

Anthropic is a public benefit corporation dedicated to creating reliable, interpretable, and steerable AI systems that remain safe and beneficial for users and society. The organization approaches high-impact AI research as an empirical science, functioning as a single cohesive team working collaboratively on large-scale initiatives.

How to Apply

Interested candidates should visit the official Anthropic careers page to submit an application for this position.

Skills and tech stack

PythonPyTorchTensorFlowKubernetesRustC++LLM

Questions candidates ask

What is the location of the Research Engineer role?

The role is located in London, UK, with a hybrid work policy requiring staff to be in the office at least 25% of the time.

What is the salary range for this position?

The annual salary range for this role is between £260,000 and £630,000 GBP.

Does Anthropic offer visa sponsorship for this job?

Yes, Anthropic sponsors visas for eligible candidates and partners with an immigration lawyer to assist with the process.

What technical skills are required?

Candidates need proficiency in Python, async and concurrent programming frameworks like Trio, experience with machine learning frameworks such as PyTorch or TensorFlow, and industry experience in machine learning research.

Are formal certifications or academic degrees required?

While a Bachelor’s degree in a relevant field or equivalent experience is required, formal certifications and academic research publication history are not strictly necessary.

Ready to apply?

The application is on the official Anthropic careers page.

Apply on company site