Lead Quality Assurance Engineer - Machine Learning

Your Role

Our Applied Machine Learning (AML) team's vision is to extract valuable insights from video and deliver them to coaches, athletes, and fans at the perfect moment; serving over 230K sports teams across 40+ sports, including 11K+ professional teams. We're looking for a Lead Quality Assurance Engineer to join our AML Platform squad - the team that designs, builds, and operates our shared MLOps platform, reducing delivery friction, and acting as a force-multiplier for every squad we support.

As the Lead QA Engineer, you'll:

• Provide technical leadership. You'll deliver quality leadership across the AML Platform Squad and broader AML organization, helping squads ship ML products faster, safer, and with greater confidence - from model development through to scaled inference. .
• Own the architecture and strategy. You will be hands-on in designing and building our quality infrastructure across the MLOps platform - architecting test frameworks, deployment safety tooling, and observability solutions - while owning the long-term technical strategy to ensure it scales with development speed.
• Collaborate across departments. You'll work across AML squads to drive alignment on quality initiatives from CI/CD pipeline standards to canary release patterns and hardware-in-the-loop testing, ensuring scalable platform solutions meet long-term strategic objectives.
• Build and deliver. You'll be a hands-on contributor to the AML Platform Squad's engineering work - writing code, designing systems, and implementing quality solutions - while ensuring long-term objectives stay aligned with reliable, efficient delivery.
• Drive proactive quality. By anticipating risks across the ML product lifecycle - experimentation, deployment, inference, and observability - , you'll identify and address potential obstacles to prevent issues before they ever reach production.
• Coach and mentor. You'll guide Software Engineers, Data Scientists, and QA practitioners  on technical quality and innovation, fostering an environment where your teammates and the squads we support can grow and succeed.

Location

We'd like to hire someone for this role who lives near our office in London, but we're also open to remote candidates in the U.K.

Must-Haves

• MLOps or platform engineering experience. You have hands-on, practical experience designing and building shared ML platform tooling — experimentation infrastructure, model deployment pipelines, observability systems, or inference at scale. As you'd be the first QA in our ML team, this knowledge is essential.
• A proven leader. You have experience leading complex quality initiatives across platform and product teams, with the ability to define strategy for shared infrastructure that serves multiple squads simultaneously.
• Technical expertise. You have a deep understanding of CI/CD pipelines, deployment safety patterns (canary, A/B, automated rollback), and a proactive approach to adopting new quality methodologies in ML and production engineering contexts.
• An expert coach. You know how to influence and guide teams even when they don't report to you, helping them adopt best practices and fostering a mindset of quality, observability, and confidence-through-automation.
• A problem-solver. You can autonomously identify and solve critical quality challenges across complex, distributed ML systems - navigating both platform and product concerns to keep AML squads on track..
• Global mindset. Our ML team is spread across the U.S. and Europe, so strong remote collaboration skills are a must.

Nice-to-Haves

• ML sports industry experience. It's a bonus if you've used AI/ML in sports to generate data or create insights.

Our Role

• Champion work-life harmony. We'll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays, remote work options and more) so you can enjoy your personal life too. Plus, every five years, we give you a paid sabbatical to unplug and recharge.
• Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you'll own your work and have the agency to try new ideas.
• Encourage career growth. We're lifelong learners who encourage professional development. We'll give you tons of resources and opportunities to keep growing.
• Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. But whether you're at the office or working remotely, we'll provide you the tech you need to do your best work.
• Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees—but no matter where you're located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health.

Compensation