Lead Quality Assurance Engineer - Machine Learning

Hudl
London
Workplace: HybridContractFunction: QA, Test & Release EngineeringSkills: ["Leadership","Mentoring","Communication","Collaboration","Problem-solving"]

Lead the AML Platform QA efforts, shaping quality infrastructure for an ML platform, mentoring cross-functional teams, and driving scalable, safe delivery of ML products from development to inference within Hudl’s AML division.

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FursaFursa
Hudl
Hudl
1 year ago

Lead Quality Assurance Engineer - Machine Learning

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Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Lead the AML Platform QA efforts, shaping quality infrastructure for an ML platform, mentoring cross-functional teams, and driving scalable, safe delivery of ML products from development to inference within Hudl’s AML division.
Location: London
Workplace: Hybrid
Employment Type: Contract
Job Function: QA, Test & Release Engineering
Seniority: Manager level

Key Responsibilities

  • •Provide technical leadership across the AML Platform Squad and broader AML organization to help squads ship ML products faster, safer, and with greater confidence—from model development through to scaled inference.
  • •Own the architecture and strategy by designing and building quality infrastructure across the MLOps platform, including test frameworks, deployment safety tooling, and observability—while ensuring long-term scalability.
  • •Collaborate across AML squads to drive alignment on quality initiatives from CI/CD standards to canary release patterns and hardware-in-the-loop testing for scalable platform solutions.
  • •Contribute hands-on to the AML Platform Squad’s engineering work — writing code, designing systems, and implementing quality solutions to ensure reliable, efficient delivery.
  • •Proactively identify and mitigate risks across the ML product lifecycle (experimentation, deployment, inference, observability) and coach teammates on technical quality and innovation.

Key Requirements

  • •A proven leader with experience leading complex quality initiatives across platform and product teams.
  • •Technical expertise in CI/CD pipelines, deployment safety patterns (canary, A/B, automated rollback), and proactive ML/production quality methodologies.
  • •An expert coach who can influence and guide teams, promoting quality, observability, and automation.
  • •A problem-solver who can autonomously address quality challenges across distributed ML systems.
  • •MLOps or platform engineering experience designing and building shared ML platform tooling (experimentation infrastructure, model deployment pipelines, observability, or inference at scale).
Experience:MLSportsSaaS
Skills:LeadershipMentoringCommunicationCollaborationProblem-solving
Languages:English
Tech Stack:CI/CDMLOpsObservabilityCanaryA/B testingPythonDockerKubernetes

Company Brief

Hudl
Provides video analysis and performance tools for sports teams and athletes, offering software to capture, review, and share game footage and analytics across youth, amateur, and professional sports organizations.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: Lincoln, United States
Founded: 2006
WebsiteLinkedIn