Machine Learning Engineer - KTP Associate

Key Skills

Aartificial intelligence, Business Process Management (BPM), Leadership Skill, Machine learning techniques, Teamwork

Job Description

Salary: £40,000 - £50,000 p.a. depending on experience, plus a Personal Development budget of £4,000.

Do you have a PhD or Master’s in Computer Science, Mathematics, Engineering, or a related discipline? Do you have a background in Artificial Intelligence and Machine Learning? Are you interested in leading an innovative and ground-breaking project? Would you like the opportunity to work with a leading provider of software-based technologies in the legal sector?

The University of Leeds has an exciting opportunity for you to ‘fast-track’ your career in industry by leading a high-profile, strategically important project from start to completion. Through a Knowledge Transfer Partnership (KTP), you will work with Katchr, a sector leading company to develop, deploy and embed a bespoke business Management Information solution. The solution will be driven by complex artificial intelligence (AI) and machine learning algorithms to enable tailored and customer-centric financial service provisions in the legal sector.

As a KTP Associate you will be expected to manage this project and effectively transfer relevant and bleeding edge knowledge from academia to Katchr by developing cutting edge AI and ML models and translate them for use in real world business applications. You will be working with academics from Leeds University Business School, and the Technical Team at Katchr. You will also have access to cutting edge research resources, vast pools of data, and scientific expertise to assist you in building a robust and futureproof business dashboard.

Katchr is a leading provider of software-based technologies in the legal sector. The chance to work with such a prominent company is a fantastic opportunity to help further your career in industry whilst also expanding your technical and research skills with an established team of academic researchers. This is a great opportunity to establish a career at Katchr, with the potential to build and lead an AI/ML team in the future.

Find out more about careers at Katchr here: https://careers.katchr.com/

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

Dr Nabi Omidvar (University of Leeds), Academic Supervisor

Email: M.N.Omidvar@leeds.ac.uk Or

Niall Staward, Company Supervisor

Email: Niall.Staward@Katchr.com Or

Katie Wallett, Innovation and Business Development Project Coordinator (University of Leeds)

Email: K.Wallett@leeds.ac.uk