Machine Learning - Engineering Manager

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; 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. 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. 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. 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. 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. 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. You’ve built, maintained and monitored complex AI/ML models and systems in production at scale. 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. You know how to focus on products, delivering impactful AI/ML products through close collaboration with partners. If you’ve used AI/ML in sports to generate data and/or create insights, that’s a plus. Champion work-life harmony. 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. 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. But whether you’re at the office or working remotely, we’ll provide you the tech you need to do your best work. 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 The base salary range for this role is displayed below, and may be eligible for bonuses which are offered at Hudl\’s sole discretion. Where a candidate is placed within this base salary range is determined by experience, skills, education and training required for the job as well as our internal pay equity. Discretionary bonuses, if awarded, may include annual targets based on company performance and a long-term incentive award. Inclusion at Hudl 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.