Machine Learning and Vision Systems Engineer – KTP Associate

This is an exciting opportunity to work in a collaborative partnership between the University of the West of England (UWE Bristol) and Family Adventures Group Ltd under the UK Government sponsored Knowledge Transfer Partnership (KTP) programme.

This is a 30-month fixed-term role offering comprehensive development opportunities, including residential management and business training through the national KTP programme at Ashorne Hill, plus a £2,000 annual training budget for tailored personal development.

You’ll be based at our multi-award winning partner, Family Adventures Group, who specialise in childcare and leisure across the South West, Midlands, and Wales. They focus on delivering high-quality early years education through their nursery brands and run immersive indoor play centres.

Supported by academics from UWE Bristol’s Centre for Machine Vision, you will lead and develop AI capabilities to enhance safety and reduce risk in early-years nursery settings through both proactive prevention and reactive response.

Skills & Experience

Essential

1. Strong analytical and problem-solving skills, with the ability to work independently and communicate effectively across interdisciplinary teams.
2. Strong fundamental understanding and hands-on skills in machine learning (including model design, training, and evaluation) and machine vision (such as image/video acquisition and processing).
3. Willingness and ability to work with hardware (including cameras and edge devices) andproficiency in programming languages commonly used in AI, (e.g., Python).
4. Skilled in data handling: collection, cleaning, pre-processing, and annotation workflows.
5. Eligibility for enhanced DBS or equivalent safeguarding clearance, required for working in nursery environments with children.

Desirable

1. Software development experience: version control, collaborative coding, and designing user-facing applications.
2. Experience applying advanced deep learning models to video-based analysis.
3. Understanding of data privacy, ethics, and regulatory compliance in sensitive environments

To carry out a 30 month Knowledge Transfer Partnership (KTP) project between UWE Bristol and Family Adventures Group Ltd. The project objective is to develop AI capabilities that enhance safety and reduce risk in early-years nursery settings through both proactive prevention and reactive response.