Location: | Leeds |
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Salary: | Salary up to £42,000 depending on skills and experience |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 11th March 2025 |
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Closes: | 6th April 2025 |
Job Ref: | REQ0001855 |
Full-time, 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 list of tasks:
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.
We are looking for a candidate who has completed their studies and is ready to start the role as soon as possible.
To arrange an informal discussion about this post, please contact k.frenneaux@leedsbeckett.ac.uk.
Closing date: Sunday 6th April 2025 (23:59)
For more information and to apply please visit: tinyurl.com/498377pn
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 global majority candidates as members of these groups are currently under-represented at this level of post. All appointments will be based on merit.
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