Staff Engineer - Machine Learning

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. We build new experiences and power automation across Hudl, using cutting-edge computer vision and deep learning technologies, deployed both in the cloud and on our Focus cameras at the edge.

As a Staff Engineer, you’ll provide technical leadership for Engineers across the AML squads to deliver AI/ML solutions at scale, shaping the future of sports technology. The priorities for this role include:

• Define the technical direction. You’ll set the tone for the systems architecture and technical capabilities required to stay ahead of challenges we’ll likely encounter over the next 12–24 months.
• Own complex, high-impact AI/ML projects. You’ll work across multiple business units, ensuring high-quality delivery that aligns with business goals
• Define excellence. Through your example, you’ll set the bar for engineering excellence, best practices and quality within AML.
• Drive innovation. Generate and implement new ideas that open up technical or business opportunities in unexpected ways.

For this role, we\'re currently considering candidates who live within a commuting distance of our offices in London. But with our flexible work policy, there aren\'t any current requirements for the number of days you come to the office.

• A product focus. You have a proven track record of delivering impactful AI/ML products at scale.
• Leadership experience. You know how to coach and influence a team of Engineers in large organizations.
• Technical expertise. You have built, maintained and scaled complex AI/ML systems in production, and you’re familiar with the full lifecycle of AI/ML models, from design to deployment and monitoring. You also have extensive experience in several of the following areas: GPU acceleration; inference at scale on both edge devices and cloud; real-time systems; active-learning; and MLOps.
• Communication skills. You can easily and clearly express yourself verbally and in a written format. You’re able to convey complex technical concepts and trade-offs to cross-functional stakeholders at all levels of the organization.

• Sports industry experience. You’ve used AI/ML in sports to generate data and/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: £90,000—£150,000 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.

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