Machine Learning Engineering Manager | Computer Vision | Deep Learning | Python | C++ | London,[...] (London)

We are seeking an Engineering Manager to join our Applied Machine Learning team, focused on delivering innovative experiences and insights for coaches, athletes, and fans. This role leads high-impact initiatives using advanced computer vision and deep learning technologies at scale—powering sports experiences from elite organizations to local communities.

Key Responsibilities

• Deliver Results: Independently manage a multidisciplinary team of 5 to 10 Engineers and Data Scientists. Drive progress toward quarterly and annual goals, while ensuring high-impact outcomes for users and the business.
• Foster Collaboration: Work cross-functionally with other teams and organizational leaders to deliver projects in iterative increments, manage dependencies, and uphold product quality.
• Set Technical Standards: Lead by example in architectural decisions, code quality, and system health. Guide the team in building reliable, scalable, and cost-effective solutions that support long-term goals.
• Build High-Performing Teams: Create and nurture an environment where your team is empowered, motivated, and set up for success. Optimize technical processes and team structures for consistent delivery.
• Talent Development: Provide mentorship and career guidance to Applied Scientists and Engineers, supporting growth across both technical and leadership paths.

Location and Flexibility

This role is open to candidates living within commuting distance of a London office. There are currently no in-office requirements, thanks to our flexible work policy.

Required Qualifications

• Leadership Experience: Proven success in managing a team of 5–10 technical contributors and supporting their development and productivity.
• Systems Expertise: Hands-on experience in building, maintaining, and monitoring complex AI/ML systems in production at scale.

Technical Proficiency

• Strong experience in several domains: Classical and deep learning-based computer vision, GPU-accelerated computing, edge inference, real-time systems, signal processing.

Additional Skills

• Excellent communication skills to explain complex technical topics to both technical and non-technical stakeholders.
• Product-focused with a track record of delivering impactful ML/AI features in collaboration with product and engineering teams.

Preferred Qualifications

• Experience applying AI/ML techniques to the sports domain, especially for generating insights or performance data.

What We Offer

• Flexible work-life balance with benefits supporting personal and professional life, including generous vacation policies, company holidays, meeting-free days, and remote options.
• Autonomy and ownership culture encouraging individual initiative, open communication, and innovation.
• Continuous learning opportunities through career development resources, mentorship, and internal growth programs.
• Supportive, well-equipped workspaces—remote or in-office—designed for productivity.
• Comprehensive wellbeing support, including medical, retirement benefits, mental health resources, employee assistance programs, and affinity groups.