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

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

We are looking for aSenior Machine Learning Engineerto 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 withC++ and Python.
• Proficiency with some of the following:Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, AWS.
• Demonstrated success in building and maintainingproduction-scale AI/ML systems.
• A track record of collaborating with product teams to deliver user-impactful solutions.

Preferred Qualifications

• Experience usingAI/ML in the sports domainto 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 forlatency and utilization, using tools likeNvidia NSight.
• Working withembedded 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