Engineering Manager - Machine Learning

Leads squads across American football and ice hockey within the Applied Machine Learning team. It drives game-changing initiatives using computer vision and deep learning at scale to automatically generate game data, event detection and player tracking. These systems deliver critical, real-time insights to coaches during games and power post-game analysis products, processing thousands of games in parallel during peak hours using models grounded in recent research.

• Manage members across two established squads, helping them meet quarterly commitments, resolve unknowns and engage stakeholders to prioritise high-impact deliverables.
• Drive technical and modelling excellence by setting high standards across engineering and data science, balancing model precision with execution speed and cost-effectiveness in cloud infrastructure.
• Lead the team to maintain model accuracy across diverse, real-world camera footage and environmental conditions.
• Collaborate cross-functionally with product stakeholders, cross-functional partners and leaders to align roadmap priorities and resolve dependencies.
• Foster a high-performing, supportive environment that enables squads to operate at their highest potential and grow professionally.
• Drive game-changing initiatives using computer vision and deep learning at scale to automatically generate game data, event detection and player tracking.
• Deliver critical, real-time insights directly to coaches during games and power post-game analysis products.

• Proven leadership experience managing teams of individual contributors, including engineers and data scientists, and helping teammates grow.
• Experience building and deploying machine learning systems and computer vision models at scale in production environments.
• Ability to balance engineering and modelling, pushing data science modelling forward while building scalable software and maintaining a sharp eye on system efficiency, speed and cost.
• Strong communication skills, with the ability to break down complex technical trade-offs for anyone across the company and naturally build strong relationships with cross-functional partners.

• Experience applying AI, machine learning or computer vision to sports performance or analytics.
• Experience building or fine-tuning real-time data processing pipelines or high-volume parallel cloud workloads.

• Time spent collaborating with teammates in-office is a regular part of how you work.
• Applicants within commuting distance of London are currently being considered.
• Is expected to work more days in-office than remote, with the freedom to coordinate a specific in-office schedule with the team.
• Remote candidates in the UK are also open.

• Flexibility to support work-life harmony, including flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, and remote work options.
• An open, honest culture with trust from day one, team support, ownership of work and agency to try new ideas.
• Professional development resources and opportunities to keep growing.
• Offices designed with employees in mind.
• Technology provided to do best work whether in the office or working remotely.
• Depending on location, medical and retirement benefits.
• Employee Assistance Program and employee resource groups to support mental health.

Hudl describes itself as the team behind the team, supporting the lifelong impact sports can have, and helps teams from all over the world see their game differently.