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Research Engineer, Pretraining

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

About this role

The Anthropic Pretraining team in London is seeking a dedicated Research Engineer to develop next-generation large language models. This hybrid role suits professionals with advanced technical expertise who want to build safe, reliable, and steerable artificial intelligence systems.

Role Overview

In this position, professionals work where cutting-edge research meets practical engineering. Team members focus on building trustworthy AI technologies that align with human values and societal interests. The role involves contributing across the entire technical stack, from low-level optimizations to high-level model design, while pushing the boundaries of machine learning science.

Key Responsibilities

Conduct research and execute solutions involving model architecture, algorithms, data processing, and optimizer development.
Lead compact research projects independently while cooperating with colleagues on broader initiatives.
Design, execute, and evaluate scientific experiments to deepen understanding of large language models.
Scale and optimize training infrastructure to boost reliability and efficiency.
Build and refine developer tooling to elevate overall team productivity.
Participate in full-stack contributions, ranging from low-level adjustments to high-level system architecture.

Requirements

Hold an advanced degree, such as an MS or PhD, in Computer Science, Machine Learning, or a closely related field.
Demonstrate robust software engineering capabilities with a history of constructing complex technical systems.
Possess expertise in Python alongside practical experience with deep learning frameworks, specifically PyTorch.
Show familiarity with large-scale machine learning, focusing primarily on language models.
Maintain the ability to balance research ambitions with real-world engineering constraints.
Exhibit strong problem-solving methods, a results-driven attitude, and excellent communication skills.

Nice to Have

Background working on high-performance, large-scale machine learning systems.
Familiarity with GPUs, Kubernetes, and operating system internals.
Experience dealing with transformer architectures for language modeling.
Knowledge regarding reinforcement learning techniques and large-scale ETL pipelines.

Skills and Tools

Python
PyTorch
Kubernetes
Deep Learning Frameworks
Large-Scale Machine Learning

Salary and Benefits

Annual compensation ranging from £260,000 to £630,000 GBP
Competitive compensation and comprehensive benefits package
Optional equity donation matching
Generous vacation time and parental leave
Flexible working hours within a location-based hybrid policy requiring office presence at least 25% of the time
Visa sponsorship support provided when possible, utilizing a retained immigration lawyer

About the Company

Anthropic operates as a public benefit corporation dedicated to creating interpretable, steerable, and reliable AI systems that benefit society. The organization functions as a single, cohesive team tackling large-scale, ambitious research initiatives rather than smaller, isolated puzzles. Employees value collaboration, transparency, and a shared dedication to long-term AI safety and alignment.

How to Apply

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

Skills and tech stack

PythonPyTorchKubernetes

Questions candidates ask

What is the location of this job?

This position is located in London, UK, with a location-based hybrid policy requiring staff to be in the office at least 25% of the time.

What is the salary range for the Research Engineer position?

The annual salary for this role ranges from £260,000 to £630,000 GBP.

What educational qualifications are required?

Candidates must hold an advanced degree, such as an MS or PhD, in Computer Science, Machine Learning, or a related field.

Does Anthropic offer visa sponsorship for this role?

Yes, Anthropic does sponsor visas and works with a retained immigration lawyer to assist candidates who receive an offer.

What core technical skills are needed?

Applicants need strong software engineering skills, expertise in Python, and experience with deep learning frameworks like PyTorch.

Ready to apply?

The application is on the official Anthropic careers page.

Apply on company site