- Company: Hudl
- Location: London, UK, UK
- Salary: £76,000/yr
Hudl at a glance
hudl.comSEC filings mentioning "Hudl": 73 — search EDGAR
Registered as a global legal entity (LEI 549300GXMD2OQG8WMX80, US) — via GLEIF
Hudl (hudl.com) is hiring a Lead Quality Assurance Engineer focused on machine learning. Public listing data here is limited to the company domain and role title—confirm product areas, team size, and stack on the official careers site.
Lead Quality Assurance Engineer - Machine Learning
Hudl
London, UK, UK
Full Time, No Remote
What This Role Involves
In this role, you will be responsible for leading the quality assurance efforts of Hudl’s Applied Machine Learning (AML) team. You will ensure that our products deliver reliable and consistent insights to coaches, athletes, and fans. Your responsibilities include developing and maintaining test strategies, creating automated testing frameworks, and collaborating with cross-functional teams to improve product quality.
What You'll Do
- Develop comprehensive test plans for AML products, ensuring they meet the highest standards of reliability and accuracy.
- Create and maintain robust automated testing frameworks to streamline the testing process and reduce manual effort.
- Collaborate with development teams to identify and resolve quality issues early in the product lifecycle.
- Conduct thorough testing across various environments, including local, staging, and production, to ensure seamless deployment of products.
- Participate in code reviews and provide feedback on testability and maintainability of codebases.
Who We're Looking For
We are seeking a highly skilled Lead Quality Assurance Engineer with experience in machine learning environments. You should have a deep understanding of testing methodologies, strong technical skills, and the ability to work effectively in a fast-paced environment. A background in sports analytics or similar fields is a plus.
- 5+ years of experience as a QA engineer, preferably in a machine learning context.
- Demonstrated expertise in automated testing frameworks and tools.
- Strong understanding of software development lifecycle (SDLC).
- Experience with test-driven development (TDD) and behavior-driven development (BDD).
- Affinity for sports or experience working in the sports industry is a bonus.
Working at Hudl
At Hudl, we value our employees and provide a supportive work environment that fosters growth and innovation. Our team has been recognized as one of Newsweek's Top 100 Global Most Loved Workplaces in 2023. We believe in the power of sports to inspire teamwork and dedication, and we are committed to helping teams around the world see their game differently.
Join us and be part of a team that is dedicated to making a positive impact through technology and innovation.
Apply Today
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Explore Hudl online
Working in London, UK, UK
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The role is listed in London, UK, Greater London, UK, England (on-site; not marked remote). London, UK is the UK capital on the River Thames in southeast England, with roughly 9.1 million residents in the city and a large metro area beyond.
England forms most of Great Britain and borders Scotland and Wales; context: England (Wikipedia).
England is a country that is part of the United Kingdom. It is located on the island of Great Britain, of which it covers about 62%, and more than 100 smaller adjacent islands. England shares a land border with Scotland to the north and another land border with Wales to the west, and is surrounded by the North Sea to the east, the English Channel to the south, the Celtic Sea to the south-west, and
- Elevation 18m (59 ft)
Source: Wikipedia (state)
Build the skills for this role
Prioritize automated testing (API/UI/performance), Python or similar for eval harnesses, CI/CD, observability, and ML basics (datasets, metrics, offline vs online evaluation). No certification resources were supplied for this listing.
Prepare stories on leading QA for complex systems, designing tests for nondeterministic ML behavior, risk-based prioritization, and mentoring. Expect system-design-style quality discussions and practical test-case or automation exercises.
Strong fit if you have led QA for software with ML components, can set standards without inventing process theater, and want on-site work in London, UK at Hudl. Thin public data means validate culture, tooling, and level directly with the hiring team.
Job details above are provided by the employer/source. The sections on this page are compiled from public data sources with AI assistance.
Accommodations: if you need a workplace accommodation to apply for or perform this job, see ADA.gov or EEOC.gov for guidance on your rights and how to request one.
Listing facts
- Role Lead Quality Assurance Engineer – Machine Learning
- Employer Hudl
- Location London, UK, UK
- Type Full Time
- Pay (from listing) £76,000/yr
- Posted August 2, 2026
- Apply by September 1, 2026
- Overview Full job description on this page (369 words)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
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