Graduate Machine Learning Engineer 2027
From £45k • Bristol, UK • Full-time
Posted 11d ago
Remote Work Policy
On-site
Employment Type
Full-time
Categories
Machine Learning Engineer
About the job
Join Graphcore's Graduate Programme for a two-year, hands-on learning experience in a permanent role. You will be trusted to take ownership, share ideas, and contribute to shaping innovative AI systems. This program offers the opportunity to tackle challenging problems alongside a supportive team dedicated to your development and success. You will gain exposure to cutting-edge AI models and accelerator systems, working across the full stack from hardware to applications, identifying opportunities to innovate and differentiate Graphcore's technology.
Responsibilities
- Implement, train, and optimize advanced AI models on Graphcore's hardware.
- Benchmark models and use profiling to identify performance bottlenecks.
- Design experiments and contribute fixes across models, software, and accelerator systems.
- Test ideas that could inform future hardware development in collaboration with Research, Software, and Product teams.
- Understand current AI models, applications, and software to ensure Graphcore technology scales effectively.
- Contribute to low-level kernel optimization and the implementation of research-level algorithms for new AI models.
- Engage in experiments, profiling, code reviews, and technical debates to understand AI system integration.
- Drive decisions with evidence, performance data, and engineering judgment.
Requirements
- Bachelor's or Master's degree in Machine Learning, Computer Science, Maths, Data Science, or a related field.
- Proficiency in software development and a deep learning framework such as PyTorch or JAX.
- Understanding of deep learning architectures, optimization, evaluation, and scaling.
- Ability to design, run, and explain ML experiments.
- Collaborative approach and willingness to work through unfamiliar technical problems.
- Ability to ask questions and take responsibility for work.
Benefits
- Flexible working arrangements.
- Up to 5% matched pension.
- Phantom equity.
- On-site amenities including free food and a barista.
- Income protection and life assurance.
- Electric Vehicle Scheme (salary sacrifice).
- Flexible benefits package including private medical insurance and dental cover.
- Optional benefits such as health cash plan and cycle to work scheme.