Machine Learning Research Engineer (LLM & AI Agents)

Principle; Greater London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading AI research organization seeks a Machine Learning Research Engineer to work on large language models and AI agents. This is a hybrid role based in King's Cross, requiring experience in machine learning and strong skills in Python and PyTorch. Ideal candidates will contribute to cutting-edge research and develop systems to advance AI capabilities. Applicants should send their CV to the provided email for review.

Qualifications

• 2–4 years' experience in machine learning, AI, or related fields.
• Strong capability in Python and PyTorch.
• Exposure to LLMs, generative AI, or agent-based systems.

Responsibilities

• Design and build LLM-driven agents for research and automation.
• Develop scalable machine learning systems using Python and PyTorch.
• Run complex experiments across large datasets and models.

Skills

Python

PyTorch

Machine learning

AI

Education

Strong academic grounding in Maths, Physics, or Machine Learning

Job description

Machine Learning Research Engineer (LLM & AI Agents)

Contract length: 6 months with potential to extend

Location: Hybrid 3 days per week in King's Cross

We are hiring a Machine Learning Research Engineer to join a high-performing AI research group working at the forefront of large language models and autonomous AI agents.

This is not a traditional engineering role. You will operate at the intersection of research and applied systems, building next-generation AI capabilities that push beyond current industry benchmarks.

What you will do:

• Design and build LLM-driven agents for research and automation
• Develop scalable machine learning systems using Python and PyTorch
• Run complex experiments across large datasets and models
• Collaborate with researchers and engineers to deliver measurable scientific impact
• Contribute to cutting-edge work influencing real-world AI systems

What we are looking for:

• 2–4 years’ experience in machine learning, AI, or related fields
• Strong Python and PyTorch capability
• Exposure to LLMs, generative AI, or agent-based systems
• Strong academic or research grounding (Maths, Physics, ML)
• High-output mindset with the ability to execute quickly
• High-performance, research-led team
• Direct exposure to world-class AI work

Next steps to apply: Apply now with word document CV or email your CV to [e-mail] for immediate review.