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

• 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., * 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.

• 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).