AI Software Engineer (Fixed term 25 months)

The job requirements are detailed below. Where applicable the skills, qualifications and memberships required for this job have also been included.

Job details

Job reference REQ0001855
Date posted 10/03/2025
Application closing date: Midnight 06/04/2025
Location Leeds
Salary Salary up to £42,000 depending on skills and experience
Package Please refer to Candidate Pack
Job category/type Administrative/Support, Professional/Managerial
Attachments Candidate Pack – AI Software Engineer REQ0001855.pdf

AI Software Engineer (Fixed term 25 months)

We are seeking an ambitious, talented, motivated, and goal-driven individual to be at the centre of an innovative KTP project with Quality Bearings Online Ltd (QBOL) – a Leeds based SME which is looking to exploit AI-enabled digital innovation to rapidly advance its recent global growth.

The project will develop a unique cutting-edge data-driven intelligent system that will exploit advanced data analytics to support QBOL’s strategic key accounts management and its drive towards a net zero carbon supply chain goal in the near future.

The Role

Supported by a comprehensive project plan and academic experts at Leeds Beckett University, you will work with the team at QBOL to undertake the following tasks:

1. Business and Technical requirements analysis – including functional / non-functional technical requirements gathering and analysis; review of relevant management accounting and sustainable supply chain logistics-related data.
2. Data pipeline development – identification and integration of relevant data sources; appropriate data storage; data workflow and pipeline creation.
3. Machine learning models building and validation – encompasses data visualisation and analytics; data pre-processing; models building.
4. Software system development – design and development of a user-centric software system with efficient frontend and backend functionalities.
5. Deployment, QBOL staff training and commercial roll out to stakeholders.

The Company

QBOL is a highly-successful Leeds-based distributor and exporter of quality bearings products. It supplies precision bearings, engineering spares, and technologically advanced lubricants to customers worldwide.

QBOL are recipients of the Queens Award for Export (2021) and on an impressive growth trajectory since the business was founded in 2012. You will be based at the QBOL premises in Leeds and will be championed as part of the senior team.

The Person

We are looking for applications from a self-starter, with strong interpersonal skills, and project management experience. You will have a minimum undergraduate degree in Computing, or similar, along with business or commercial awareness (ideally 1 year minimum work experience). The candidate will have a strong technical background in AI software development (i.e. AI and Machine Learning programming). Some experience in full stack development for web-based applications would be desirable.

The role will provide you with senior-level experience and an opportunity to lead a project across a range of business functions. This will be an exciting role for the right candidate presenting an excellent opportunity to make a tangible difference to the business. You will be well supported by academic experts at Leeds Beckett and colleagues at QBOL. To be effective in the role, you will need to be open to new challenges and be prepared to involve yourself in all aspects of the business.

This role is part of the national Knowledge Transfer Partnership scheme. You will benefit from a management training programme and a personal development package of £4500 to deliver this project. KTPs are an invaluable way for talented graduates to fast-track their career development and establish themselves as the industry leaders of tomorrow. Leeds Beckett University also offer all our KTP project leaders the opportunity to pursue a fully funded postgraduate research degree.

We are looking for a candidate who has completed their studies and is ready to start the role as soon as possible.

Interview date: Interviews will be over 2 stages – week commencing 22nd April and week commencing 28th April.

To apply for this role, please select \’Apply online\’ below and complete the short application form. Please also attach an updated CV and a covering letter of no more than two sides of A4 paper outlining how your education, skills and experience make you suitable for this role – where possible please address the specific requirements of the role as per the Employee Specification and outline your own suitability with relevant examples.

We ask you not to use an AI assistant model such as Chat GPT to generate your CV or cover letter.

Working here means you’ll also have access to a wide range of benefits including our generous pension schemes, excellent holiday entitlements, flexible working, reduced study fees, subsidised fitness facilities and a lot more.

We welcome applications from all individuals and particularly from black and minority ethnic candidates as members of these groups are currently under-represented at this level of post. All appointments will be based on merit.

#J-18808-Ljbffr