Senior Edge MLOps Engineer – Remote UK/London, SportsTech

La Fosse

Greater London

Teletrabalho

GBP 108 000 - 132 000

Tempo integral

Há 4 dias
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Vantagens oferecidas por esta oferta de emprego

Annual bonus 7.5%
£10,000 in share options

Resumo da oferta

La Fosse is seeking a Senior MLOps Engineer to join a fast growing SportsTech platform that analyses live video to deliver insights for professional sports. You will deploy ML models across edge platforms, scale to thousands of concurrent events, and collaborate with engineering, product and leadership to ship AI features.

The role values a product-minded, hands-on technologist with Python/C++, Kubernetes, and AWS expertise, and offers remote UK or London-based flexibility with a strong focus on

Qualificações

  • Experience deploying ML models to edge platforms.
  • Strong Python and/or C++ programming.
  • Proficiency with Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson and AWS.
  • Proven ability to deliver AI/ML products with cross-functional teams.
  • Experience building production AI/ML systems at scale.

Responsabilidades

  • Deliver at scale: deploy ML models across edge platforms for thousands of events.
  • Lead initiatives that improve athletes', coaches', and fans' experience.
  • Collaborate with engineering, product and leadership to deliver best-in-class solutions.

Conhecimentos

MLOps
Edge computing
Cross-functional collaboration
Production AI/ML systems

Ferramentas

Python
C++
Kubernetes
TensorRT
Nvidia DeepStream
Nvidia Jetson
AWS

Descrição da oferta de emprego

La Fosse is seeking a Senior MLOps Engineer to join a fast growing SportsTech platform that analyses live video to deliver insights for professional sports. You will deploy ML models across edge platforms, scale to thousands of concurrent events, and collaborate with engineering, product and leadership to ship AI features.

The role values a product-minded, hands-on technologist with Python/C++, Kubernetes, and AWS expertise, and offers remote UK or London-based flexibility with a strong focus on

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