Research Engineer: Generative AI & Scalable ML

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

Job summary

Principle in London is seeking a Research Engineer to advance AI and machine learning research. You will be deeply embedded in a research team, building ML systems, experimenting with progress around large AI models and multi-agent setups.

The role emphasizes hands-on engineering alongside theoretical inquiry, contributing to synthetic data and reinforcement learning projects within a fast-moving environment.

Qualifications

• 2+ years hands-on Machine Learning/AI experience.
• Experience developing ML models at scale.
• Experience running complex experiments with large AI models and datasets.
• Strong understanding of the scientific/research process.
• Comfortable operating in a fast-moving, ambiguous research environment.

Responsibilities

• Build and experiment with ML systems and research infrastructure.
• Collaborate with researchers on complex AI problems.
• Investigate why approaches succeed or fail and iterate.

Skills

ML/AI experience

Large AI models

Experimentation

Research mindset

Adaptability

Education

Master's or PhD in ML/AI

Tools

PyTorch

LLMs

Reinforcement learning

Generative AI

Multi-agent systems

Job description

Principle in London is seeking a Research Engineer to advance AI and machine learning research. You will be deeply embedded in a research team, building ML systems, experimenting with progress around large AI models and multi-agent setups.

The role emphasizes hands-on engineering alongside theoretical inquiry, contributing to synthetic data and reinforcement learning projects within a fast-moving environment.