KTP Associate - Machine Learning and Vision Systems Engineer

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.

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• Degree (1st or 2:1) or equivalent in AI, Computer Vision, Machine Learning, Data Science (ML specialisation) or Robotics.
  
• Strong knowledge and skills in machine learning (model design, training, and evaluation) and machine vision (image/video acquisition and processing).
  
• Comfortable working with hardware (cameras and edge devices) and proficiency in programming languages commonly used in AI, (Python).
  
• Skilled in data handling: collection, cleaning, preprocessing, and annotation workflows.
  
• Eligibility for enhanced DBS or equivalent safeguarding clearance, required for working in nursery environments with children.
  

In this role you will be based at Family Adventures Group Ltd, Weston Super-Mare, BS23 1AY.

We are one of the largest providers of Higher Education in the South West with 38,000 students and 4,000 staff from right across the globe. Based in vibrant Bristol , our ambitions are to make a positive difference to our planet, transforming futures through actions and solving real world challenges.

UWE Bristol recognises the power of a truly diverse university community .

We’re part of a vibrant, multicultural city and welcome talented people from all backgrounds. Diversity is our strength, enhancing creativity, decision‑making, and problem‑solving. Join our supportive community and thrive.

We particularly encourage applications from global majority candidates as we are currently under-represented in this area, however all appointments are made strictly on individual merit.

As a Disability Confident employer we welcome applications from those who identify as having a disability.

If you would like to speak to us to find out more about this role, please contact Wenhao Zhang email:

Shortlisting is expected to be completed within 2 weeks of the closing date depending on application volumes. We aim to give candidates at least a week's notice to attend interview.

This is a full-time, fixed-term post for 30 months, working 37.5 hours per week.

If offered a role, you will need to provide valid documentation confirming your right to work in the UK before employment begins. Guidance on acceptable documents is available via the Home Office Right to Work Checklist .

We may be able to endorse eligible candidates for a Global Talent Visa (Endorsed Funder route) . You may also wish to explore other visa options which will allow you to work in the UK.

Please note that UWE Bristol does not cover any visa or health surcharge costs.

We’d love to hear from you - if this role excites you, please complete our application form as soon as possible and tell us how your skills and experience meet the criteria listed in the Person Specification, using clear and relevant examples wherever possible.

We’ll keep you informed of the outcome by email once shortlisting is complete.