2 months ago
London, United KingdomStaff+
Responsibilities
- Provide technical leadership for quality across the AML Platform squad and broader Applied Machine Learning organization.
- Own the architecture and long-term strategy for quality infrastructure across the MLOps platform.
- Design and build test frameworks, deployment safety tooling, and observability solutions.
- Drive CI/CD pipeline standards, canary release patterns, automated rollback, and hardware-in-the-loop testing.
- Write code, design systems, and implement hands-on quality solutions for reliable ML product delivery.
- Identify and address risks across experimentation, deployment, inference, and observability before production issues occur.
- Coach and mentor software engineers, data scientists, and QA practitioners on technical quality and automation.
Requirements
- Hands-on experience designing and building shared ML platform or MLOps tooling, including experimentation infrastructure, model deployment pipelines, observability systems, or inference at scale.
- Experience leading complex quality initiatives across platform and product teams and defining strategy for shared infrastructure.
- Deep understanding of CI/CD pipelines and deployment safety patterns such as canary releases, A/B testing, and automated rollback.
- Ability to influence and guide teams without direct reporting relationships and promote quality, observability, and automation practices.
- Ability to independently solve critical quality challenges across complex, distributed ML systems.
- Strong remote collaboration skills across U.S. and European teams.
- Experience using AI or machine learning in sports to generate data or insights is preferred.
Benefits
- Flexible vacation time above statutory leave, company-wide holidays, meeting-free timeout days, and remote work options.
- Autonomy, an open and honest culture, and support for trying new ideas.
- Professional development resources and career growth opportunities.
- Well-equipped offices and technology support for both office-based and remote work.
- Medical and retirement benefits depending on location, plus an Employee Assistance Program and employee resource groups.
- The role is open to candidates near Hudl’s London office or remote candidates in the U.K.
Categories
About Hudl
Hudl builds sports video and analytics tools for coaches, athletes, and administrators, combining SaaS software with smart cameras, instant replay, recruiting, and livestreaming features. The company sells subscriptions and hardware such as Hudl Focus to teams from youth to professional levels to capture, analyze, and share performance. Founded in 2006 and headquartered in Lincoln, Nebraska, Hudl is privately held and its platform is used by over 230,000 teams worldwide.