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Chief AI & Computer Vision Leader — Real-Time Sports Data

Stats Perform

Greater London

On-site

GBP 125,000 - 150,000

Full time

2 days ago
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Job summary

A leading sports technology company is seeking a Vice President of AI & Computer Vision to spearhead the development and deployment of advanced Sports AI Platforms. You will lead efforts in designing cloud-based AI pipelines utilizing AWS tools and overseeing teams responsible for real-time computer vision models. The ideal candidate should have extensive leadership experience in AI/ML, deep expertise in computer vision methods, and a strong background in scaling cloud-native architectures. You'll play a crucial role in driving innovative solutions that enhance sports data collection and fan engagement.

Benefits

Mental Health Days Off
Flexible working schedules
Volunteering Time Off
Diversity and Inclusion initiatives

Qualifications

  • 15+ years of leadership experience in AI/ML.
  • Proven experience scaling cloud-native architectures on AWS.
  • Deep expertise in computer vision methods.
  • Strong command of ML Ops frameworks and modern data pipelines.
  • Track record of leading large-scale technical organizations.

Responsibilities

  • Define and execute the AI and CV strategy.
  • Lead the design of cloud-based AI pipelines.
  • Oversee teams developing real-time CV models.
  • Build platforms optimizing latency and accuracy.
  • Partner with product leaders for B2B opportunities.
  • Drive data quality frameworks and MLOps governance.
  • Recruit top CV/ML scientists and data engineers.

Skills

AI leadership experience
Cloud-native architecture
Computer vision methods
ML Ops frameworks
Background in sports technology
P&L understanding
Exceptional communication

Tools

AWS services
SageMaker
Kubeflow
MLFlow
Ray
Job description
A leading sports technology company is seeking a Vice President of AI & Computer Vision to spearhead the development and deployment of advanced Sports AI Platforms. You will lead efforts in designing cloud-based AI pipelines utilizing AWS tools and overseeing teams responsible for real-time computer vision models. The ideal candidate should have extensive leadership experience in AI/ML, deep expertise in computer vision methods, and a strong background in scaling cloud-native architectures. You'll play a crucial role in driving innovative solutions that enhance sports data collection and fan engagement.
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