Senior Software Engineer (ML QA)

EngineersOfAI; Greater London; On-site; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Unlimited annual leave

Up to 5% matched pension

Phantom equity

Health cash plan

Income protection

Life assurance

Free food and on-site barista

Job summary

EngineersOfAI in Greater London is looking for a candidate to validate the machine learning software stack necessary for future AI systems. You will build trusted test infrastructure and tooling to enhance performance across various frameworks. Your work will improve the maintainability and reliability of AI compute systems.

The ideal candidate has strong software design skills in Python and a familiarity with CI/CD practices. Benefits include unlimited annual leave, matched pension contributions, and various health plans.

Qualifications

• Experience building maintainable systems across large codebases.
• Testable and reliable Python code used by other engineers.
• Confident reading and debugging low level code.

Responsibilities

• Build the test infrastructure and automation for AI systems.
• Shape test architecture across large codebases and CI pipelines.
• Collaborate with software teams to improve tooling.

Skills

Strong software design skills

Production Python experience

Experience with CI/CD

Familiarity with C or C++

Understanding of ML frameworks

Mentorship ability

Job description

About the job

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
• Along with other benefits you can choose from (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.