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KTP Associate - Machine Learning Engineer

Do you hold a Master’s degree in Computer Science, Software Engineering, Data Science, Mathematics, Statistics, Business Analytics, or a related field? Do you excel in programming, visualisation, analysis, machine learning, and large language model (LLM) skills using Python? Do you have a strong understanding of quantitative methods and business decision-making processes?

If you're passionate about applying your expertise to solve complex challenges in a commercial environment, this role is for you! Take the lead in embedding and utilising an LLM-enhanced approach to data analysis to disrupt standard industry practices. 

The University of Leeds has an excellent opportunity for you to ‘fast track’ your career in industry by leading a strategically important project to a successful conclusion. Through a Knowledge Transfer Partnership (KTP), you will be working in partnership with SR Mailing Limited and Leeds University Business School at the University of Leeds, one of the UK’s leading research-intensive universities.  

SR Mailing Limited, based in Manchester strives to be the premier provider of sustainable packaging through customer-centric innovations underpinned by a data-driven business model. This project aims to offer the company a cost-effective way to understand customers, meet evolving needs, and accelerate business growth. 

You will be integrated into SR Mailing’s R&D team in Manchester. This provides a unique environment to undertake extensive research, testing and development throughout the duration of your project. This will be supplemented when necessary during the project by utilising the "state of the art" facilities available at the University of Leeds.

Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information please visit: www.gov.uk/skilled-worker-visa.

For research and academic posts, we will consider eligibility under the Global Talent visa. For more information please visit: https://www.gov.uk/global-talent

What are the benefits of being a KTP Associate?

  • Freedom to lead, develop and implement innovative solutions and cutting-edge research at the heart of energy related industry.
  • KTP Associates spend 10% of their time on Personal Development, making full use of a £4,000 PD budget.
  • Experience of cutting-edge consumer research techniques and project management.
  • Access to two residential training sessions aimed at developing project management skills.
  • Opportunity to gain both management and academic experience.
  • Potential to fast-track a career in industry.
  • Access to a wealth of academic resources.
  • Access to a Travel & Subsistence and Consumables budget.
  • Access to mentoring sessions through Innovate UK.

To explore the post further or for any queries you may have, please contact: 

Academic Supervisor, Peizhi Shi

Email: p.shi@leeds.ac.uk 

Company Supervisor, Ludan Huang 

Email: ludan@srmailing.co.uk  

Katie Wallett, Innovation Support Co-ordinator (University of Leeds)

Email: K.Wallett@leeds.ac.uk 

Further Details:
Candidate Brief
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Job Details
Location
Leeds - Main Campus
Faculty/Service
Professional Services
School/Institute
Research & Innovation Service
Section
Knowledge Transfer Partnership (KTP)
Category
Research
Grade
Off grading structure
Salary
£32,000 to £40,000 p.a.
Post Type
Full Time
Contract Type
Fixed Term (24 months to complete specific time limited work)
Release Date
Wednesday 07 May 2025
Closing Date
Tuesday 03 June 2025
Reference
CSRIS1363
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