Senior Research Engineer - Machine Learning and Generative AI

Principle HR; Greater London; On-site; GBP 81,000 - 90,000; Full time

Job summary

Principle HR in London is seeking a Senior Research Engineer to join a world-leading technology organisation, focusing on AI and machine learning research. You'll be embedded in a cutting-edge team working on LLMs, RL, synthetic data, and multi-agent systems.

This unusually research-heavy engineering role involves building robust infrastructure to support experiments and deploying production-quality code at scale.

Qualifications

• 5-7 years of relevant experience in ML/AI research.
• Strong Python programming skills.
• Experience building ML models at scale in production-like environments.
• Experience writing production-quality software and running experiments with large AI models.
• Research-focused mindset to investigate why approaches work.
• Ability to operate in a fast-paced, ambiguous research setting.

Responsibilities

• Work embedded within a cutting-edge AI research team.
• Explore areas including large language models, RL, synthetic data, multi-agent systems.
• Build robust infra to support complex research experiments.
• Contribute to end-to-end experimentation and model deployment.

Skills

Python programming

Machine Learning

Research mindset

High adaptability

Experimentation

Scaling ML models

Education

Master's degree in AI/ML

PhD in AI/ML

Tools

PyTorch

LLMs

Reinforcement learning

Generative AI

Multi-agent systems

Job description

Senior Research Engineer - Machine Learning & Generative AI

12-month contract | £81,000-£90,000 | London | Hybrid - 3 days onsite

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.

Non negotiable skills:

• 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.