Machine Learning Research Engineer (LLM & AI Agents)

Principle
Greater London, UK
2 days ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

Microsoft Word Artificial Intelligence Big Data Python (Programming Language) Machine Learning Pytorch Large Language Models Generative AI Build Management Machine Learning Operations

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 for immediate review.

Requirements

  • 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

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

5:30 min

Building components of a real-world LLM lifecycle

Maxim Salnikov Maxim Salnikov · LIVE

2:35 min

Preventing remote code execution in PyTorch models

Balázs Kiss · World Congress 2023

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

2:37 min

Tracing the evolution from early AI to generative AI

Mike Mike · World Congress 2025

1:59 min

Building culturally aware LLMs for global audiences

Werner Vogels Werner Vogels +1 · World Congress 2026 Europe

1:06 min

Compiling PyTorch environments for advanced time forecasting

Christoph Lohrmann Christoph Lohrmann +1 · World Congress 2026 Europe

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