AI Jobs Map

Principle · London, England, United Kingdom

Research Engineer - Machine Learning and Generative AI

Hybridcontract$86,928 – $96,435 / yearPosted today
Apply on LinkedInOpens the original posting. AI Jobs Map never asks for your details.

Stack mentioned

pythonpytorchllmmachine-learninggenerative-aireinforcement-learningartificial-intelligencerecommender-systems

Research Engineer - Machine Learning & Generative AI, Global Tech

12-month contract | £64,000-£71,000 | London | Hybrid - 3 days onsite

We're hiring a Research Engineer to join a world-leading technology organisation working at the forefront of AI and machine learning research. This is a rare opportunity to be deeply embedded within a research team, contributing directly to cutting-edge work around large AI models, reinforcement learning, synthetic data and multi-agent systems.

You'll combine hands-on engineering with research, building and experimenting with ML systems, developing robust research infrastructure and working alongside researchers on complex, rapidly evolving problems.

Non negotiable skills:

- 2+ years' hands-on Machine Learning/AI experience - including ML, artificial intelligence, recommendation systems or pattern recognition.

- Strong Python programming skills

- Experience developing ML models at scale, ideally gained within a major technology company, AI research lab or similarly sophisticated environment.

- Experience running complex experiments with large AI models and datasets.

- Strong understanding of the scientific/research process and the ability to investigate why approaches succeed or fail.

- Comfortable operating in a fast-moving, highly ambiguous research environment where priorities can change quickly.

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 ML/AI is advantageous but not essential.

Deadline for this role is Monday the 14th of December, apply today!

More jobs at Principle