Research Engineer - Machine Learning and Generative AI

Onsitewe're
London, UK
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
£64,000.0 - £71,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Python (Programming Language) Machine Learning Recommender Systems Reinforcement Learning Pytorch Large Language Models Multi-Agent Systems Generative AI Machine Learning Operations

Requirements

Research Engineer - Machine Learning & Generative AI12-month contract | £64,000-£71,000 | London | Hybrid - 3 days onsiteWe’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 skillsExperience developing ML models at scaleExperience 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. #J-18808-Ljbffr

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