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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