Senior Software Engineer (ML QA) London, UK

graphcore; Greater London; On-site; GBP 50,000 - 70,000; Full time

Benefits offered by this job

Unlimited annual leave

Up to 5% matched pension

Phantom equity

True flexibility in work arrangements

Office spaces designed for collaboration

Free food and on-site barista

Health cash plan

Income protection

Life assurance

Job summary

Graphcore in Greater London is looking for a skilled Software Engineer to validate the machine learning software stack essential for future AI systems. You will build test infrastructure and tooling to enhance reliability and performance while mentoring engineers.

The role involves strong software design and production Python experience, including CI/CD automation. The position emphasizes ownership and requires familiarity with C/C++ and ML frameworks. Enjoy unlimited annual leave and a flexible work environment.

Qualifications

• Experience in building maintainable systems across large codebases.
• Production Python code that is testable and reliable for other engineers.
• Experience with automated testing and Linux-based workflows.
• Confidence in reading and debugging low-level C or C++ code.
• Familiarity with ML frameworks and model execution.

Responsibilities

• Validate a complex machine learning stack before customer delivery.
• Build the test infrastructure, automation and tooling for engineers.
• Shape test architecture across large codebases and CI pipelines.

Skills

Strong software design skills

Production Python experience

Experience with CI/CD

Familiarity with C or C++

Understanding of ML frameworks

Ability to mentor engineers

Job description

Help prove the ML software stack that future AI systems will depend on. Graphcore is expanding the software systems behind AI compute at datacenter scale. This role focuses on validating a complex machine learning stack before it reaches customers and hardware. You will build the test infrastructure, automation and tooling that engineers trust every day. Your work will help raise reliability, performance and maintainability across frameworks, simulators, emulators and future hardware. You will shape test architecture across large codebases, CI pipelines and representative ML workloads. You will use strong software engineering judgement to turn complex technical goals into scalable validation systems.

This is a role for someone who enjoys depth, ownership and useful engineering. You will make quality easier, faster and more visible for teams building at the edge of AI compute.

The team and culture

The ML QA team sits where Graphcore’s software components come together. Engineers work across unit tests, integration tests, full model runs, subgraph validation and benchmarking.

Work is organised through focused squads with clear ownership. People are expected to step up, speak openly and improve how the team builds, tests and learns.

Decisions are grounded in evidence from code, data and system behaviour. The team works closely with software teams to identify gaps, improve tooling and move priorities forward quickly.

What we’re looking for

• Strong software design skills, with experience building maintainable systems across large codebases.
• Production Python experience, including testable, reliable code used by other engineers.
• Experience with CI/CD, automated testing and Linux based development workflows.
• Familiarity with C or C++, with confidence reading and debugging low level code.
• Understanding of ML frameworks, workloads or model execution beyond simple API usage.
• Ability to mentor engineers, improve practices and take ownership of complex technical problems.

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 available for private medical insurance, dental plan, etc.

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.