22 days ago
Bristol, United KingdomEntry Level
Responsibilities
- Implement, train and optimise advanced machine learning models on Graphcore hardware.
- Benchmark models, profile performance bottlenecks and design and explain ML experiments.
- Contribute fixes across models, software and accelerator systems.
- Work on low-level kernel optimisation and research-level algorithms for new AI models.
- Collaborate with Research, Software and Product teams to evaluate ideas for future hardware.
Requirements
- Bachelor’s or Master’s degree in Machine Learning, Computer Science, Maths, Data Science or a related field.
- Software development skills and proficiency with a deep learning framework such as PyTorch or JAX.
- Understanding of deep learning architectures, optimisation, evaluation and scaling.
- Ability to design, run and explain machine learning experiments.
- Skills may be demonstrated through coursework, a dissertation, personal or team projects, research or other relevant experience.
- Collaborative approach, willingness to tackle unfamiliar technical problems, and readiness to ask questions and take responsibility.
Benefits
- Permanent role with a two-year graduate programme starting in September 2027.
- Flexible working arrangements and thoughtfully designed Bristol office spaces for collaboration.
- Up to 5% matched pension, phantom equity, income protection and life assurance.
- Free food and an on-site barista.
- Electric vehicle scheme through salary sacrifice.
- Flexible benefits including private medical insurance, dental cover, health cash plan, cycle to work scheme and give as you earn.
- The role requires existing UK work authorisation for the full programme duration; work visa sponsorship is unavailable.
Tech Stack
Categories
About Graphcore
Graphcore designs and sells Intelligence Processing Units (IPUs), systems, and a full software stack for training and inference of AI models in data centers and research labs. Revenue comes from hardware systems and associated software tools and services, used for workloads across NLP, computer vision, and graph neural networks. Founded in 2016 and headquartered in Bristol, the company is part of SoftBank Group and focuses on on‑prem and cloud deployments.