Senior Engineering Manager - Applied Machine Learning

Your Role

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 just getting started - our team builds new experiences and powers 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 Senior Engineering Manager, you’ll lead two teams of Applied Scientists and Engineers to deliver AI/ML solutions at scale, shaping the future of sports technology. Your role will blend technical expertise, management skills, product focus, and business understanding to deliver ambitious solutions that move the needle for our customers and Hudl.

As a Senior Engineering Manager, you will: 

• Set Direction. Define a long-term vision and direction, driven by our customers' needs, translating it into roadmaps, and foster collaboration across teams, functions, and business units to define and execute complex projects.
• Develop and manage a research agenda, that balance between short-term deliverables with measurable business impact, as well as long-term investments.
• Act as a technical supervisor. You’ll guide development efforts to maximize outcomes in your team's area.
• Hire and develop top talent. You’ll provide technical and career development guidance to Applied Scientists and Engineers across the organization.
  Innovate. Drive continued scientific innovation and advance the team's engineering craftsmanship as a practitioner and thought leader.

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

• Product focus. You have a proven track record of shipping impactful products.
• Management expertise: You’ve led teams of Applied Scientists and ML Engineers.
• System expertise. You have experience in building, maintaining, and monitoring complex AI/ML models and systems in production.
• Technical expertise. Extensive knowledge and practical experience in several of the following areas: machine vision (classical and deep learning), multi-view geometry, GPU accelerators, inference on edge devices, foundational models, real-time systems, and event detection.
• Communication skills. Excellent verbal and written communication, and can communicate complex technical concepts and solutions to all levels of the organization and diverse stakeholders.

Nice-to-Haves

• Sports industry experience. Experience of using AI/ML in sports to generate data and/or create insights.

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.

Compensation