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

Stats Perform; Greater London; On-site; GBP 125,000 - 150,000; Full time

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.