Senior Machine Learning Engineer | Computer Vision | Deep Learning | Python | C++| London, Hybrid

Senior Machine Learning Engineer | Computer Vision | Deep Learning | Python | C++| London, Hybrid

Senior Machine Learning Engineer | Computer Vision | Deep Learning | Python | C++| London, Hybrid

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

Senior Machine Learning Engineer | Computer Vision | Deep Learning | Python | C++| London, Hybrid

We are looking for a Senior Machine Learning Engineer to help deliver new experiences and insights to coaches, athletes, and fans across all levels of sport. In this role, you’ll lead impactful projects using cutting-edge computer vision and deep learning at scale—from professional organizations to grassroots teams.

Key Responsibilities

• ML at Scale: Design, build, and deploy machine learning models and systems for both cloud and edge environments, supporting thousands of concurrent sports events.
• Project Leadership: Take ownership of major initiatives that drive value for users and the business, aligning with quarterly team objectives.
• Collaborative Development: Work cross-functionally with product and engineering teams to deliver high-quality results through incremental improvements.
• ML Lifecycle Optimization: Enhance team capabilities across the entire ML lifecycle, including data annotation, model training, deployment, and monitoring.

Location and Flexibility

This role is open to candidates based within commuting distance of a London office. While in-office presence is not currently required, flexible working is supported.

Required Qualifications

• Strong experience with C++ and Python.
• Proficiency with some of the following: Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, AWS.
• Demonstrated success in building and maintaining production-scale AI/ML systems.
• A track record of collaborating with product teams to deliver user-impactful solutions.

Preferred Qualifications

• Experience using AI/ML in the sports domain to create insights or data.
• Advanced systems knowledge, such as:
• Developing GPU kernels or ML compilers (e.g., CUDA, OpenCL, TensorRT Plugins, MLIR, TVM).
• System optimization for latency and utilization, using tools like Nvidia NSight.
• Working with embedded SoCs (e.g., Nvidia, Qualcomm).

What You’ll Get

• Flexibility and Balance: A range of benefits to support work-life harmony, including flexible vacation policies, company holidays, and meeting-free days.
• Autonomy and Ownership: A culture of trust and support that allows you to own your work and explore new ideas.
• Career Growth: Access to development opportunities, resources, and learning programs.
• Tech-Enabled Work: Whether remote or on-site, we provide the tools and environment you need to thrive.
• Wellbeing Support: Resources to support your mental, physical, and financial wellbeing, including access to assistance programs and employee communities.

Senior Machine Learning Engineer | Computer Vision | Deep Learning | Python | C++| London, Hybrid

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Sports Teams and Clubs and Spectator Sports

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