Esports Computer Vision AI Data Scientist - Live Analytics

University of Essex; Milton Keynes; Hybrid; GBP 30,000 - 50,000; Full time

Job summary

The University of Essex, in partnership with Sports Information Services Ltd, invites a graduate to help develop computer vision-based techniques for information capture from live esports streams. The role combines ML/DL, CV, and data processing to create low-latency AI capabilities.

Candidate should have an MSc in a relevant STEM field and strong Python/TensorFlow/PyTorch skills, plus experience with data-driven modeling and cross-team collaboration.

Qualifications

• MSc in Computer Science, ML, DS or STEM (essential).
• Strong ML and CV fundamentals; experience in DL tooling.
• Experience with processing mixed structured/unstructured data.
• Proficient in Python with TensorFlow or PyTorch.

Responsibilities

• Design and deliver a live-stream processing capability for game events.
• Align data to improve odds pricing in in-play and future markets.
• Develop ultra-low-latency AI calculations for statistics.
• Use historical data and video feeds to detect irregular play.
• Collaborate with stakeholders and document progress.

Skills

Machine Learning

Deep Neural Networks

Computer Vision

Python

Java

Data Analysis

Education

MSc in Computer Science or related STEM

Tools

TensorFlow

PyTorch

Video Processing Libraries

Git

Job description

The University of Essex, in partnership with Sports Information Services Ltd, invites a graduate to help develop computer vision-based techniques for information capture from live esports streams. The role combines ML/DL, CV, and data processing to create low-latency AI capabilities.

Candidate should have an MSc in a relevant STEM field and strong Python/TensorFlow/PyTorch skills, plus experience with data-driven modeling and cross-team collaboration.