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# Senior Engineer (ML Engineer)

- **Company:** Graphcore
- **Location:** Bristol, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Artificial Neural Networks, Unit Testing, Software Debugging, Linux, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, Pytorch
- **Published:** August 15, 2026
- **Apply:** https://www.totaljobs.com/job/senior-ml-engineer/graphcore-job107846201

## About the Role

· 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.

## Description

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. That includes numerical precision, quantisation, attention mechanisms, distributed execution and 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.

The team and culture

The ML QA team is where Graphcore's ML software stack comes together for validation. Work spans unit tests, full model benchmarks, distributed workloads, simulators, emulators and hardware targets.

Engineers are expected to take ownership, question assumptions and improve how testing is done. The team moves quickly, but decisions are grounded in evidence, benchmark data and technical discussion.

You will work closely with software, infrastructure and hardware teams. Squads organise around priorities, with space for engineers to shape roadmaps and raise the quality bar.


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