Senior Machine Learning Engineer - Remote

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