Senior ML QA Engineer - Build Reliable AI Stack (Flexible)

EngineersOfAI

Cambridge

Hybrid

GBP 60,000 - 80,000

Full time

14 days+

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Benefits offered by this job

Unlimited annual leave
Up to 5% matched pension
Phantom equity
True flexibility
Office spaces designed for collaboration
Free food and on-site barista
Health cash plan
Income protection
Life assurance

Job summary

EngineersOfAI in Cambridge is seeking a skilled engineer to validate the machine learning software stack crucial for future AI systems. You will build reliable test infrastructure and automate processes that enhance performance and maintainability across multiple frameworks.

Your role involves not just testing but shaping the architecture of large codebases, and mentoring team members to improve engineering practices effectively.

Qualifications

  • Experience building maintainable systems across large codebases.
  • Production Python experience with reliable code.
  • Experience with CI/CD and automated testing workflows.
  • Familiarity with C or C++ for low-level debugging.
  • Understanding of ML frameworks beyond API usage.
  • Ability to mentor engineers and improve practices.

Responsibilities

  • Validate the software stack behind AI compute.
  • Build test infrastructure, automation, and tooling.
  • Shape test architecture across large codebases.
  • Improve reliability, performance, and maintainability.
  • Collaborate with engineers to identify gaps and improve tooling.

Skills

Software design skills
Production Python
CI/CD
C or C++ familiarity
Understanding of ML frameworks
Mentoring ability

Job description

EngineersOfAI in Cambridge is seeking a skilled engineer to validate the machine learning software stack crucial for future AI systems. You will build reliable test infrastructure and automate processes that enhance performance and maintainability across multiple frameworks.

Your role involves not just testing but shaping the architecture of large codebases, and mentoring team members to improve engineering practices effectively.

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