SVP of AI and Computer Vision
SVP of AI and Computer Vision

SVP of AI and Computer Vision

Full-Time 72000 - 108000 ยฃ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the design and deployment of next-gen AI platforms for sports data and fan engagement.
  • Company: Join Stats Perform, the leader in sports tech, where innovation meets passion.
  • Benefits: Enjoy flexible working, mental health days, and a supportive team culture.
  • Why this job: Make a real impact in sports tech while working with cutting-edge AI and ML technologies.
  • Qualifications: 15+ years in AI/ML leadership, with expertise in computer vision and cloud-native architectures.
  • Other info: Be part of a diverse team that values creativity and inclusion.

The predicted salary is between 72000 - 108000 ยฃ per year.

Company description

Stats Perform is the market leader in sports tech. We provide the most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around the world, access to the very best data, content, and insights. In turn, improving how sports fans interact with their favourite sports teams and competitions. Anywhere you find sport, Stats Perform is there. However, data and tech are only half of the package. We need great people to fuel the engine.

We succeeded thanks to a team of amazing people. They spend their days collecting, analyzing, and interpreting data from a wide range of live sporting events. If you combine this real-time data with our 40-year-old archives, elite journalists, camera operators, copywriters, the latest in AI wizardry, and a host of 'behind the scenes' support staff, you've got all the ingredients to make it a magical experience!

We are seeking a visionary Vice President of AI & Computer Vision to lead the design, development, and deployment of next-generation Sports AI Platforms. This executive will oversee the strategy and build-out of advanced computer vision (CV) and machine learning (ML) solutions that power real-time sports data collection, athlete tracking, video analysis, and fan engagement products. The SVP will partner cross-functionally across product, engineering, operations, and commercial teams, building a highly scalable AI/CV stack on Amazon Web Services (AWS) infrastructure. This leader will be accountable for technical excellence, innovation velocity, and building a world-class engineering culture around data, models, and applied ML.

Responsibilities

  • Define and execute the companyโ€™s AI and CV strategy for automated sports data collection, video intelligence, and platform scalability.
  • Lead the design and build of cloud-based AI pipelines utilizing AWS tools such as SageMaker, Rekognition, Bedrock, Kinesis Video Streams, and Lambda.
  • Oversee teams developing real-time CV models for player/object tracking, ball trajectory, skeletal keypoints, and broadcast automation.
  • Build AI/ML platforms that optimize latency, model accuracy, and computational efficiency under live sports conditions.
  • Partner with product leaders to translate technology capabilities into new B2B sports data monetization opportunities.
  • Drive best-in-class data quality frameworks, leveraging annotation pipelines, synthetic data generation, and MLOps governance.
  • Recruit, develop, and retain top CV/ML scientists, data engineers, and platform architects.
  • Collaborate with clients, federations, and ecosystem partners on adoption of automated data capture solutions.

Required Qualifications

  • 15+ years of leadership experience in AI/ML, with at least 7+ years leading CV-centric platforms at scale.
  • Proven experience scaling cloud-native architectures on AWS, including real-time ingestion, training, deployment, and monitoring of ML models.
  • Deep expertise in computer vision methods (detection, tracking, segmentation, multimodal models).
  • Strong command of ML Ops frameworks (SageMaker, Kubeflow, MLFlow, Ray) and modern data pipelines.
  • Background working in sports technology, broadcast, or real-time tracking systems preferred.
  • Track record of leading large-scale technical organizations (50+ engineers/scientists).
  • Strong P&L understanding and ability to align AI investments with business growth objectives.

Desired traits

  • Visionary yet execution-focused leader.
  • Comfortable operating in fast-growth, high-stakes sports/media environments.
  • Exceptional communicator and executive stakeholder manager.
  • Passion for sports, technology, and transforming live experiences through AI.

What we offer

Why work at Stats Perform? We love sports, but we love diverse thinking more! We know that diversity brings creativity, so we invite people from all backgrounds to join us. At Stats Perform you can make a difference, by using your skills and experience every day, you'll feel valued and respected for your contribution. We take care of our colleagues. We like happy and healthy colleagues. You will benefit from things like Mental Health Days Off, โ€˜No Meeting Fridays,โ€™ and flexible working schedules. We pull together to build a better workplace and world for all. We encourage employees to take part in charitable activities, utilize their 2 days of Volunteering Time Off, support our environmental efforts, and be actively involved in Employee Resource Groups.

Diversity, Equity, and Inclusion at Stats Perform

By joining Stats Perform, you'll be part of a team that celebrates diversity. A team that is dedicated to creating an inclusive atmosphere where everyone feels valued and welcome. All employees are collectively responsible for developing and maintaining an inclusive environment. That is why our Diversity, Equity, and Inclusion goals underpin our core values. With increased diversity comes increased innovation and creativity. Ensuring we're best placed to serve our clients and communities. Stats Perform is committed to seeking diversity, equity, and inclusion in all we do.

SVP of AI and Computer Vision employer: Stats Perform

At Stats Perform, we pride ourselves on being a leader in sports technology, where innovation meets passion for sports. Our inclusive work culture fosters diverse thinking and creativity, allowing employees to thrive while contributing to cutting-edge AI and computer vision solutions. With benefits like flexible working schedules, Mental Health Days Off, and opportunities for community engagement, we ensure our team feels valued and empowered to make a meaningful impact in the world of sports.
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Contact Detail:

Stats Perform Recruiting Team

StudySmarter Expert Advice ๐Ÿคซ

We think this is how you could land SVP of AI and Computer Vision

โœจTip Number 1

Network like a pro! Get out there and connect with folks in the sports tech scene. Attend industry events, join online forums, and donโ€™t be shy about reaching out on LinkedIn. You never know who might have the inside scoop on job openings!

โœจTip Number 2

Show off your skills! Create a portfolio or a personal website showcasing your projects, especially those related to AI and computer vision. This is your chance to demonstrate what you can bring to the table, so make it shine!

โœจTip Number 3

Prepare for interviews by diving deep into Stats Performโ€™s products and services. Understand how they use AI and machine learning in sports tech. Tailor your responses to show how your experience aligns with their needs โ€“ itโ€™ll make you stand out!

โœจTip Number 4

Donโ€™t forget to apply through our website! Itโ€™s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team at Stats Perform.

We think you need these skills to ace SVP of AI and Computer Vision

AI Strategy Development
Computer Vision Expertise
Machine Learning Solutions
Cloud-Based AI Pipelines
AWS Tools (SageMaker, Rekognition, Bedrock, Kinesis Video Streams, Lambda)
Real-Time Data Processing
Data Quality Frameworks
MLOps Governance
Team Leadership
Technical Excellence
B2B Monetization Strategies
Stakeholder Management
Sports Technology Knowledge
Scalable Architecture Design
Communication Skills

Some tips for your application ๐Ÿซก

Tailor Your CV: Make sure your CV is tailored to highlight your experience in AI and computer vision. Use keywords from the job description to show that you understand what we're looking for.

Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about sports tech and how your background aligns with our mission. Be genuine and let your personality shine through!

Showcase Your Achievements: Donโ€™t just list your responsibilities; showcase your achievements! Use metrics and examples to demonstrate how you've made an impact in previous roles, especially in AI/ML.

Apply Through Our Website: We encourage you to apply directly through our website. Itโ€™s the best way for us to receive your application and ensures youโ€™re considered for this exciting opportunity!

How to prepare for a job interview at Stats Perform

โœจKnow Your Tech Inside Out

Make sure youโ€™re well-versed in the latest AI and computer vision technologies, especially those mentioned in the job description like AWS tools. Brush up on your knowledge of SageMaker, Rekognition, and Kinesis Video Streams, as you might be asked to discuss how you've used these in past projects.

โœจShowcase Your Leadership Experience

Prepare to talk about your leadership style and experiences managing large teams. Stats Perform is looking for someone who can lead a team of 50+ engineers and scientists, so have examples ready that demonstrate your ability to inspire and drive a team towards success.

โœจAlign with Their Vision

Understand Stats Perform's mission and values, particularly their focus on diversity and inclusion. Be ready to discuss how you can contribute to building an inclusive culture and how your vision aligns with their goals in sports technology.

โœจPrepare for Scenario-Based Questions

Expect questions that assess your problem-solving skills in real-time sports data scenarios. Think of specific instances where youโ€™ve had to optimise model accuracy or manage latency under pressure, and be prepared to explain your thought process and outcomes.

SVP of AI and Computer Vision
Stats Perform

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