At a Glance
- Tasks: Lead impactful machine learning projects in sports using cutting-edge computer vision and deep learning.
- Company: Join a dynamic tech company focused on revolutionising sports experiences.
- Benefits: Enjoy flexible working, career growth opportunities, and wellbeing support.
- Other info: Flexible work environment with a culture of trust and autonomy.
- Why this job: Make a real impact in the sports industry with your AI skills.
- Qualifications: Strong C++ and Python experience; familiarity with AI/ML systems.
The predicted salary is between 43200 - 72000 £ per year.
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 employer: Enigma
Enigma is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With a strong focus on employee growth, we provide ample opportunities for professional development and hands-on experience in cutting-edge technologies within the healthcare sector. Our commitment to reliability, security, and privacy compliance ensures that you will be part of a meaningful mission, making a real impact on clinical monitoring and patient care.
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We think you need these skills to ace Senior Machine Learning Engineer | Computer Vision | Deep Learning | Python | C++| London, Hybrid
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