Machine Learning Engineering Manager

Your Role

We’re looking for an Engineering Manager to join our Applied Machine Learning team and deliver new experiences and valuable insights to our coaches, athletes and fans across Hudl. You’ll drive game-changing initiatives that use cutting-edge computer vision and deep learning at scale to shape the future of sports, from professional teams to local high schools.

At Hudl, Engineering Managers:

• Deliver for customers. You’ll independently manage your multidisciplinary team of 5 to 10 Engineers and Data Scientists, ensuring quarterly and annual goals are met while supporting their efforts to deliver high-impact results for customers and the business.
• Collaborate. You’ll work closely with other teams and leaders to deliver your projects in small increments, resolve your cross-team dependencies, and ensure our products meet the highest standards.
• Be the technical example. You’ll set high standards for architecture, code quality, and system health, while guiding your team in building resilient, cost-effective solutions that contribute to Hudl’s long-term success.
• Cultivate an empowered environment. You’ll build and maintain an environment where your team is supported, engaged, and able to operate at their highest potential. You’ll optimize across technology, people and process to create a high-performing, scalable team that consistently delivers results.
• Hire and develop top talent. You’ll provide technical and career development guidance to Applied Scientists and Engineers across the organization.

For this role, we’re currently considering candidates who live within a commuting distance of our office 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

• Leadership experience. In previous roles, you’ve supported a team of 5–10 individual contributors to operate at their highest potential.
• System expertise. You’ve built, maintained and monitored complex AI/ML models and systems in production at scale.
• Strong technical proficiency. You have extensive experience in several of the following areas: machine vision (classical and deep learning), multi-view geometry, GPU accelerators, inference on edge devices, LLM’s models, real-time systems, and signal processing.
• Communication skills. You have excellent verbal and written communication, with the ability to clearly convey complex technical concepts and trade-offs across all levels of the organization and to cross-functional stakeholders.
• A proven track record. You know how to focus on products, delivering impactful AI/ML products through close collaboration with partners.

Nice-to-Haves

• Sports industry experience. If you’ve used AI/ML in sports to generate data and/or create insights, that’s a plus.

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 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.