Software Engineer in Artificial Intelligence and Code Optimisation; Transfer Partnership

Software Engineer in Artificial Intelligence and Code Optimisation (Knowledge Transfer Partnership)

Join to apply for the Software Engineer in Artificial Intelligence and Code Optimisation (Knowledge Transfer Partnership) role at University of Leeds

You will be employed within the School of Computing, Faculty of Engineering & Physical Sciences. This role is located at Turin Tech, 1 Finsbury Ave, London EC2M 2PF
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Do you have a strong background in data analytics and software development? Would you like to work with an industry-leading company to develop cutting‑edge data and code optimisation tools?

The University of Leeds has an opportunity for you to ‘fast‑track’ your career in industry by leading a project to develop, deploy and embed advanced, AI‑driven code optimisation techniques to intelligently increase the efficiency and output of software programs. Through a Knowledge Transfer Partnership (KTP), you will be working in collaboration with a sector‑leading artificial intelligence company, Turin Tech, and Leeds University’s School of Computing.

As a KTP Associate, you will be expected to manage this project and effectively transfer knowledge from the academic knowledge base at The University of Leeds to Turin Tech. You will be working closely with academics in the School of Computing and Turin Tech’s team of experienced software engineers and AI researchers to create an innovative and robust software development tool that is able to strengthen existing and accelerate future software development.

Turin Tech is an innovative and ground‑breaking artificial intelligence company whose mission is to create AI based tools to facilitate enhanced software development, most notably through their flagship product, Artemis. Turin Tech’s reputation within the finance and technology sector is growing all the time, with clients and collaborations that include well‑known organisations such as Lloyds Banking Group, Intel, and other financial and tech institutions.

Please note that due to Home Office visa requirements, this role may only be suitable for first‑time Skilled Worker visa applicants if they are eligible for salary concessions. For more information please visit: ‑worker‑visa.

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

ACADEMIC SUPERVISOR
Professor Zheng Wang / Professor of Intelligent Software Technology (University of Leeds)
Email:

Company Supervisor
Dr Mike Basios / Chief Technology Officer and Co‑Founder (Turin Tech AI)
Email: mike

James Hartford
Innovation Support Coordinator (University of Leeds)
Email:

Seniority level: Entry level

Employment type: Full-time

Job function: Engineering and Information Technology

Industries: Higher Education