Senior Engineer (ML Engineer) Bristol, UK

graphcore; Bristol; On-site; GBP 50,000 - 75,000; Full time

Benefits offered by this job

Unlimited annual leave

5% matched pension

Phantom equity

Flexible work arrangements

Free food and barista

Job summary

Graphcore in Bristol is seeking a skilled professional to validate their ML stack, ensuring trusted AI performance. This role involves testing complex systems, running benchmarks, and collaborating with various engineering teams.

The successful candidate will need strong ML experience, proficiency with tools like PyTorch and TensorFlow, and solid Python skills for automation. The position offers numerous benefits including unlimited annual leave and flexible work arrangements.

Qualifications

• Strong experience in ML or ML-adjacent software engineering roles.
• Good grasp of training, inference, numerical precision.
• Hands-on experience with ML frameworks.

Responsibilities

• Test, benchmark and validate ML systems.
• Run open source models and build benchmarking pipelines.
• Collaborate with hardware and software teams.

Skills

Machine Learning experience

Neural networks understanding

Experience with PyTorch

Automation with Python

Experimentation and benchmarking

Tools

TensorFlow

JAX

Triton

Job 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. 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.

What we’re looking for

• 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
• Other benefits such as private medical insurance, dental plan and more

We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work.

We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know – we’re happy to support you.