Staff Engineer - Machine Learning London

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:

1. 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.
2. Own complex, high-impact AI/ML projects. You’ll work across multiple business units, ensuring high-quality delivery that aligns with business goals.
3. Define excellence. Through your example, you’ll set the bar for engineering excellence, best practices, and quality within AML.
4. 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.

Must-Haves

1. A product focus. You have a proven track record of delivering impactful AI/ML products at scale.
2. Management experience. You know how to coach and influence a team of Engineers in large organizations.
3. 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.
4. 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.

Nice-to-Haves

1. Sports industry experience. You’ve used AI/ML in sports to generate data and/or create insights.

Our Role

1. 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.
2. 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.
3. Encourage career growth. We’re lifelong learners who encourage professional development. We’ll give you tons of resources and opportunities to keep growing.
4. 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.
5. 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

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