Senior Engineer (ML Engineer)

Role Description

Validate the ML stack that turns accelerator hardware into trusted AI performance. This role sits where modern ML models meet Graphcore’s software and hardware stack. You will test, benchmark and validate complex systems before they reach customers.

• Your work will expose regressions, correctness issues and performance limits across frameworks, models and execution environments.
• You will help teams understand what is working, what is breaking and why.
• You will run open source models, build automated benchmarking pipelines and create targeted tests for low level ML behaviour, including:
• Numerical precision
• Quantisation
• Attention mechanisms
• Distributed execution
• Model subgraphs
• This is a role for someone who wants to stay close to how AI systems really work. You will not design new models, but you will make them run reliably on ambitious infrastructure.

Qualifications

• Strong experience in Machine Learning or ML-adjacent software engineering roles.
• A solid grasp of neural networks, training, inference, numerical precision and performance trade-offs.
• Hands-on experience with PyTorch, TensorFlow, JAX, Triton or similar ML frameworks and tools.
• Strong Python skills for automation, experimentation, benchmarking and reporting.
• Experience designing, running and analysing ML benchmarks or model experiments.
• Confident debugging skills in Linux, with curiosity about model behaviour and system performance.

Benefits

• Unlimited annual leave
• Up to 5% matched pension
• Phantom equity – share in Graphcore’s success
• True flexibility in how and where you work
• Office spaces designed for collaboration
• Free food and an on-site barista
• Health cash plan
• Income protection
• Life assurance
• Along with other benefits you can choose from (private medical insurance, dental plan etc)