Engineering Manager - Machine Learning

We’re hiring an Engineering Manager to join our Applied Machine Learning team to lead our squads across American football and ice hockey. You’ll drive game-changing initiatives using computer vision and deep learning at scale to automatically generate game data, event detection and player tracking - delivering critical, real-time insights directly to coaches during games as well as powering post-game analysis products. Our systems process thousands of games in parallel during peak hours, using models grounded in recent research.

As the Engineering Manager, you’ll:

• Deliver for customers and manage teams. Directly manage members across two established squads, helping them meet quarterly commitments, resolve unknowns and engage stakeholders to prioritise high-impact deliverables.
• Drive technical and modeling excellence. Set high standards across both engineering and data science, balancing model precision with execution speed and cost-effectiveness in cloud infrastructure.
• Solve complex real-world challenges. Lead your team to maintain model accuracy across diverse, real-world camera footage and environmental conditions.
• Collaborate cross-functionally. Work closely with product stakeholders, cross-functional partners and leaders to align roadmap priorities and resolve dependencies.
• Cultivate an empowered environment. Foster a high-performing, supportive environment that enables your squads to operate at their highest potential and grow professionally.

Time spent collaborating with your teammates in-office will be a regular part of how you work. We’re currently considering applicants within commuting distance of London. You’ll be expected to work more days in-office than remote, but will have the freedom to coordinate your specific in-office schedule with your team. We're also open to remote candidates in the UK.

• A proven leader. You have experience managing teams of individual contributors, including engineers and data scientists, and you love helping teammates grow.
• Production AI/ML and computer vision experience. You’ve built and deployed machine learning systems and computer vision models at scale in production environments.
• Balanced between engineering and modeling. You can push data science modeling forward while building scalable software, keeping a sharp eye on system efficiency, speed and cost.
• A strong communicator. You easily break down complex technical trade-offs for anyone across the company and naturally build strong relationships with cross-functional partners.

• Sports tech background. You have experience applying AI, machine learning or computer vision to sports performance or analytics.
• Real-time systems experience. You’ve built or fine-tuned real-time data processing pipelines or high-volume parallel cloud workloads.

• 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.