At Hudl, we build great teams. We hire the best of the best to ensure you’re working with people you can constantly learn from. You’re trusted to get your work done your way while testing the limits of what’s possible and what’s next. We work hard to provide a culture where everyone feels supported, and our employees feel it—their votes helped us become one of Newsweek's Top 100 Global Most Loved Workplaces.
We think of ourselves as the team behind the team, supporting the lifelong impact sports can have: the lessons in teamwork and dedication; the influence of inspiring coaches; and the opportunities to reach new heights. That’s why we help teams from all over the world see their game differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more.
Ready to join us?
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.
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..
- 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..
- 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.
- Global mindset. Our ML team is spread across the U.S. and Europe, so strong remote collaboration skills are a must.
- ML sports industry experience. It’s a bonus if you’ve used AI/ML in sports to generate data or create insights.
- 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 and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too.
- 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.
The base salary range for this role is displayed below—starting salaries will typically fall near the middle of this range.
We make compensation decisions based on an individual's experience, skills and education in line with our internal pay equity practices.
This role will also be eligible for a long-term incentive (LTI) award. Any bonuses awarded are based on individual and company performance paid at Hudl's discretion.
Base Salary Range
£76,000 - £127,000 GBP
Hudl is an equal opportunity employer. Through our actions, behaviors and attitude, we’ll create an environment where everyone, no matter their differences, feels like they belong.
We offer resources to ensure our employees feel safe bringing their authentic selves to work, including employee resource groups and communities. But we recognize there’s ongoing work to be done, which is why we track our efforts and commitments in annual inclusion reports.
We also know imposter syndrome is real and the confidence gap can get in the way of meeting spectacular candidates. Please don’t hesitate to apply—we’d love to hear from you.
