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

Enigma

United Kingdom

Hybrid

GBP 80,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Flexible Work-Life Balance

Autonomy and Ownership

Continuous Learning

Optimized Work Environment

Comprehensive Wellbeing Support

Job summary

A leading technology company in the sports sector is looking for a Machine Learning Engineering Manager. The successful candidate will lead innovative projects leveraging computer vision and deep learning technologies to enhance user experiences for coaches, athletes, and fans, with a focus on collaboration and mentorship.

Qualifications

Proven success in managing a technical team of 5-10.
Hands-on experience with complex AI/ML systems in production.
Strong experience in classical/deep learning based computer vision.

Responsibilities

Independently manage a multidisciplinary team of 5 to 10 Engineers and Data Scientists.
Work cross-functionally to deliver projects in iterative increments.
Lead by example in architectural decisions and code quality.

Skills

Computer Vision

Deep Learning

Python

C++

Communication

Job description

Direct message the job poster from Enigma

Founder @ Enigma | Creator of Vision to Venture Podcast & The Neural Network Community

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 who live within commuting distance of a London office. There are no current requirements for in-office presence, thanks to a 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 operating in production at scale.

Technical Proficiency: Strong experience in several of the following domains:

Classical and deep learning-based computer vision
GPU-accelerated computing
Edge inference
Real-time systems
Signal processing

Excellent Communication: Ability to explain complex technical topics and decisions clearly to both technical and non-technical stakeholders.

Product Focus: Track record of delivering impactful ML/AI-driven features in close collaboration with product and engineering teams.

Preferred Qualifications

Sports Technology Experience: Familiarity with applying AI/ML techniques to the sports domain, especially to generate insights or performance data.

What We Offer

Flexible Work-Life Balance: Benefits designed to support both your personal and professional life, including generous vacation policies, company holidays, meeting-free days, and remote work options.
Autonomy and Ownership: A culture that encourages individual ownership, open communication, and innovation.
Continuous Learning: Access to career development resources, professional growth opportunities, and internal mentorship.
Optimized Work Environment: Supportive, well-equipped workspaces—whether remote or in-office—designed to help you do your best work.
Comprehensive Wellbeing Support: Medical and retirement benefits based on location, along with mental health resources, employee assistance programs, and affinity groups.

Seniority level

Seniority level
Director

Employment type

Employment type
Full-time

Job function

Job function
Information Technology
Industries
Sports Teams and Clubs and Spectator Sports

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