Senior Research Engineer - Machine Learning and Generative AI

Principle; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Principle is seeking a Senior Research Engineer in Machine Learning & Generative AI to join a world-leading tech organisation on the frontier of AI research. You will be embedded in a cutting-edge AI research team, working on large language models, reinforcement learning, synthetic data, multi-agent systems and AI agents, while building robust infrastructure for research experiments.

Ideal candidates have 5-7 years of hands-on ML/AI experience, strong Python, and a track record of scaling models

Qualifications

• 5-7 years' relevant experience in ML/AI
• Strong Python programming skills
• Experience developing ML models at scale
• Experience writing production-quality software and running complex experiments with large AI models
• Strong scientific/research mindset to understand why approaches work
• Ability to work at pace in ambiguous research environment

Responsibilities

• Embed within cutting-edge AI research team to advance ML/AI research
• Develop and evaluate models at scale and build supporting experiments
• Contribute to production-grade software and research infrastructure

Skills

Strong Python programming

5-7 years' experience

Research mindset

Ability to work in ambiguity

Education

MS/PhD in AI/ML advantageous

Tools

PyTorch

LLMs

Reinforcement learning

Generative AI

Multi-agent systems

Job description

Senior Research Engineer - Machine Learning & Generative AI

We're hiring an experienced Senior Research Engineer to join a world-leading technology organisation working at the frontier of AI and machine learning research.

This is an unusually research-heavy engineering opportunity. You'll be embedded directly within a cutting-edge AI research team, working on areas including large language models, reinforcement learning, synthetic data, multi-agent systems and AI agents, while also building the robust infrastructure needed to support complex research experiments.

• 5-7 years' relevant experience, with strong hands-on Machine Learning/AI expertise.
• Strong Python programming skills - a core non-negotiable.
• Proven experience developing machine learning models at scale, ideally within a leading technology company, AI research lab or similarly sophisticated environment.
• Experience writing production-quality software and running complex experiments involving large AI models and datasets.
• Strong scientific/research mindset - able to investigate not just whether an approach works, but why.
• Comfortable working at pace in a highly ambiguous research environment where priorities can change rapidly.

Experience with PyTorch, LLMs, LLM post-training, reinforcement learning, generative AI or multi-agent systems would be particularly valuable. A research-focused Master's or PhD in AI/ML is advantageous but not essential.

Deadline for this role is Monday the 14th of September.