Computer Vision AI Data Scientist for eSports (KTP Associate)

Overview

This position is a Knowledge Transfer Partnership associate role based on a collaboration between the University of Essex and Sports Information Services Ltd. The successful candidate will work within the School of Computer Science and Electronic Engineering to develop computer vision-based techniques for capturing and analyzing information from live-broadcasted eSports events. The role is designed to help the business improve its competitiveness and productivity by utilizing academic expertise.

What you get

The position offers a salary of £41,950 per annum on a fixed-term, full-time contract. The work arrangement follows a hybrid schedule.

Requirements

Applicants must hold an MSc in Computer Science, Machine Learning, Data Science, or another science, technology, engineering, or mathematics degree. Essential skills include a thorough understanding of machine learning and deep neural networks, experience designing and deploying machine learning tools, familiarity with computer vision and video processing fundamentals, and the ability to build algorithms for mixed structured and unstructured data. Candidates must have coding experience in Python with a good command of PyTorch, TensorFlow, or related libraries, as well as general programming proficiency in Java. Additional qualifications include experience developing, training, and evaluating predictive models, and processing video data using techniques such as object detection, pose estimation, and temporal analysis. Attributes required for the post include a desire to learn, leadership potential, independence, teamwork, problem-solving abilities, project management skills, and the capacity to communicate complex technical issues to non-technical audiences. Previous industry experience is considered desirable.

Key dates

The closing date for applications is 2026-11-19.