Senior ML QA Engineer — Flexible, Remote Validation

Confidential; Cambridge; On-site; GBP 50,000 - 75,000; Full time

Benefits offered by this job

Unlimited annual leave

Up to 5% matched pension

Phantom equity

Flexible working

On-site barista

Health cash plan

Income protection

Life assurance

Job summary

United States Digital Space LLC in Cambridge is looking for a skilled engineer to validate and enhance its machine learning software stack. This role focuses on building test infrastructures and automation necessary for AI compute, providing an opportunity to work at the forefront of technology.

The ideal candidate will possess robust software design skills, significant experience in production Python, and familiarity with CI/CD processes. Benefits include unlimited annual leave, a matched pension plan, and a collaborative office environment.

Qualifications

• Experience building maintainable systems across large codebases.
• Testable, reliable Python code used in production environments.
• Automated testing in Linux-based development workflows.

Responsibilities

• Build test infrastructure and automation for validating ML systems.
• Shape test architecture across large codebases and CI pipelines.
• Mentor engineers and improve technical practices.

Skills

Strong software design skills

Production Python experience

CI/CD experience

Familiarity with C or C++

Understanding of ML frameworks

Mentoring and ownership ability

Job description

United States Digital Space LLC in Cambridge is looking for a skilled engineer to validate and enhance its machine learning software stack. This role focuses on building test infrastructures and automation necessary for AI compute, providing an opportunity to work at the forefront of technology.

The ideal candidate will possess robust software design skills, significant experience in production Python, and familiarity with CI/CD processes. Benefits include unlimited annual leave, a matched pension plan, and a collaborative office environment.