Principal ML Engineer: Live Sports AI & Computer Vision

Principal ML Engineer: Live Sports AI & Computer Vision

Full-Time 75600 - 92400 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the development of AI for live sports, turning data into real-time insights.
  • Company: Sky, a leader in innovative sports technology.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Join a dynamic team passionate about transforming fan experiences.
  • Why this job: Shape the future of sports with cutting-edge AI and computer vision.
  • Qualifications: Experience in machine learning and strong leadership skills.

The predicted salary is between 75600 - 92400 Β£ per year.

Sky is building AI that understands live sport, turning live video and sports data into real-time insights and new fan experiences.

We seek a Principal ML Engineer to lead technical direction for our Sports AI platform and own system design and productionization.

You will mentor engineers, shape architecture for low-latency inference, and guide AI initiatives from idea to production at scale.

This role blends hands-on coding with strategic leadership.

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Principal ML Engineer: Live Sports AI & Computer Vision employer: Appcastenterprise

The RAC is an exceptional employer, offering a competitive salary and a range of benefits that truly support our employees' well-being and career growth. With a strong focus on flexibility, local work arrangements, and a commitment to innovation, we empower our Superflex Roadside Mechanics to thrive in a dynamic environment while making a meaningful impact on our members' lives. Join us in Wembley, where you can enjoy generous holidays, wellbeing support, and the opportunity to share in our success through our colleague share scheme.

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Contact Details:

Appcastenterprise Recruitment Team

We think you need these skills to ace Principal ML Engineer: Live Sports AI & Computer Vision

Machine Learning
Computer Vision
AI System Design
Productionisation
Low-Latency Inference
Mentoring
Architecture Design