Computer Vision AI Data Scientist for eSports (KTP Associate)

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

KTP

Knowledge Transfer Partnerships (KTPs) are a unique UK-wide activity that help businesses to improve their competitiveness and productivity by making better use of the knowledge, technology and skills within universities, colleges and research organisations.

Further information is available at: https://iuk-ktp.org.uk/.

THE PROJECT

The University of Essex in partnership with Sports Information Services Ltd offers an exciting opportunity to a graduate with the relevant skills and knowledge to develop novel computer vision-based techniques for information capture and analysis of live-broadcasted eSports events.

DUTIES OF THE POST

The duties of the post will include:

• The design and delivery of a bespoke capability to process live streams of games and gamers to identify in-game events to support the collection of data and associated statistics.
• Align live-captured data to improve the quality of prices (odds) for both in-play markets and future pre-match markets for future events.
• To implement the capability for extremely low-latency AI calculations, able to react to the accumulation of statistics across the course of a game.
• To make use of historical game data and video feeds to identify irregular play patterns.
• Communicating the objectives and progress of a project effectively with key internal stakeholders.
• Combining the usage of multiple coding languages by delivering a final product using the appropriate technology, such as Python, whilst working alongside colleagues familiar with Java and .NET.
• To contribute to the development of in-house AI and data science capabilities within SIS TV in order to increase operational independence.

These duties are a guide to the work that the post holder will initially be required to undertake. They may be changed from time to time to meet changing circumstances.

KEY REQUIREMENTS

Qualifications

• MSc in Computer Science, Machine Learning, Data Science or another STEM degree (essential).

Skills and Experience

• Thorough understanding of machine learning and deep neural networks; experience of designing and deploying machine learning-enabled tools.
• An understanding of fundamentals of Computer Vision and Video processing as a discipline of AI.
• Experience of building algorithms to process mixed structured / unstructured data.
• Experience of coding in Python, with good command of Tensorflow or Pytorch and related libraries.
• Experience in developing, training and evaluating predictive models using machine learning or deep learning methods.
• Strong general programming skills, with a proficiency in the use of Java.

Attributes

• A keen desire to learn new concepts.
• Demonstrable leadership potential.
• An ability to work independently, to use initiative and work as part of team.
• Strong problem-solving skills, with a particular emphasis on creative solutions.
• Good project management skills.
• An ability to write technical documentation and communicate complex technical issues to a non-technical audience effectively.
• An ability to process video data using computer vision techniques including object detection, pose estimation and temporal analysis.
• An ability to design predictive modelling approaches.
• Previous experience working in an industry setting (desirable).

LOCATION

Sports Information Services Ltd, 2 Whitehall Avenue, Kingston, Milton Keynes, Buckinghamshire, MK10 0AX.

Our website http://www.essex.ac.uk contains more information about the University of Essex. If you have a disability and would like information in a different format, please email .