Lead Quality Assurance Engineer – Machine Learning

Overview

As part of Hudl’s Applied Machine Learning (AML) team, you will lead quality across AI/ML initiatives at scale, guiding QA engineers, software engineers, and data scientists. You’ll drive long-term quality strategy while delivering reliable, efficient solutions for coaches, athletes, and fans. You’ll collaborate across teams to align quality with strategic objectives and stay ahead of industry developments. This role offers autonomy, focus on career growth, and a vibrant, hybrid work environment in London or UK-wide remote.

Pay / Benefits

• flexible vacation time
• remote work options
• medical and retirement benefits (location-dependent)
• Employee Assistance Program
• employee resource groups
• inclusive culture

Responsibilities

• Drive cross-team alignment on quality initiatives to meet long-term objectives
• Proactively identify and mitigate quality risks to prevent defects
• Own long-term quality and engineering objectives and ensure day-to-day execution meets standards
• Leverage industry insights to evolve quality processes and frameworks with technology advances

Key requirements

• problem-solver
• mentorship
• curiosity
• global mindset

• problem-solving autonomy
• mentorship mindset
• curiosity about new technologies
• quality assurance leadership across software, data, and ML domains
• cross-functional collaboration with engineers and data scientists
• scaling quality practices for AI/ML systems

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