AI Research Engineer

Skills

About the Role

Investigate AI and machine-learning ideas, design and run experiments, evaluate results, develop scalable implementations, present research, produce technical reports, and collaborate on next-generation AI hardware.

Requirements

• Master’s degree, PhD, or equivalent experience in a technical discipline.
• Python programming experience with a modern deep-learning framework such as PyTorch or JAX.
• Familiarity with deep-learning models, optimisation, evaluation, and scaling.
• Ability to design, execute, and report on machine-learning experiments.
• Lower-level programming experience for hardware efficiency, such as C++, CUDA, or Triton.
• Practical familiarity with deep-learning hardware capabilities, including threads, caches, vector and matrix engines, data dependencies, bus widths, and throttling.
• Practical familiarity with deep-learning software stacks, including compilation, kernel fusion, XLA or ATen operations, streams, and asynchronous execution.
• Right to work in the United Kingdom.

Responsibilities

• Generate AI and machine-learning ideas, design experiments, implement them, and evaluate results.
• Prepare, submit, and present work at AI conferences and workshops.
• Provide technical insight through experiments and clear, actionable reports.
• Collaborate with researchers, silicon engineers, and software engineers to define, build, and test next-generation AI hardware.

Benefits

• Flexible working
• Generous annual leave policy
• Private medical insurance
• Health cash plan
• Dental plan
• Pension matched up to 5%
• Life assurance
• Income protection
• Generous parental leave policy
• Employee assistance programme with health, mental wellbeing, and bereavement support
• Healthy food and snacks at the central Bristol office
• Barista bar at the central Bristol office