Research Engineer

Russell Tobin

AI ResearchseniorLondon Area, United KingdomhybridcontractSoftware DevelopmentPythonPyTorchLLMsreinforcement learningAI agentssynthetic datamachine learning models at scaleresearch papersposted
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Research Engineer – Fundamental AI Research

Location: London

Working Model: Hybrid – 3 days onsite

Contract: 12 months | 40 hours/week

About the Role

We are looking for a Senior Research Engineer to join a cutting-edge AI research team working on next-generation machine intelligence.

This role sits at the intersection of AI research and software engineering , with opportunities to work on LLMs, reinforcement learning, AI agents, synthetic data and large-scale AI systems .

You’ll work closely with experienced researchers and engineers, contributing directly to active research projects while building production-quality tools and infrastructure.

Key Responsibilities

  • Conduct hands-on AI/ML research and experimentation.
  • Develop and evaluate

LLMs and large-scale ML models

.

  • Build

reinforcement learning environments, AI-agent systems and experimentation frameworks .

  • Work with

synthetic data, large datasets and complex AI systems

.

  • Build robust pipelines, sandboxes and infrastructure for AI research.
  • Analyse experiments, investigate why approaches succeed or fail, and translate findings into recommendations.
  • Read and apply the latest

AI/ML research papers

.

  • Write high-quality Python code and collaborate closely with research and engineering teams.

What We're Looking For

  • Strong

Python

and software engineering skills.

  • Hands-on experience with

machine learning models at scale

.

  • Experience with

PyTorch

and large datasets/models.

  • Strong analytical and problem-solving abilities.
  • Ability to understand and apply research findings beyond benchmark results.
  • Bachelor’s degree in Computer Science, AI/ML, Computer Engineering or a related field, or equivalent experience.

Nice to Have

  • Experience with

Generative AI / LLMs and LLM evaluation or post-training

.

  • Reinforcement learning and AI-agent/multi-agent systems.
  • Synthetic data generation.
  • AI research infrastructure or experimentation frameworks.
  • Research experience or a Master’s/PhD in AI/ML.

Why This Role?

  • Work directly on

frontier AI research problems

.

  • Combine

research and hands-on engineering

.

  • Work alongside experienced AI researchers and engineers.
  • Gain exposure to advanced

LLMs, AI agents and large-scale experimentation

.

  • Potential opportunities to contribute to research outputs and publications.

If you're passionate about AI research, machine learning and building systems that push the boundaries of AI, this is an opportunity to work on genuinely challenging problems at the forefront of the field.