Department: Department of Computer Science
Location: Birmingham, West Midlands
Salary: £38,000 to £42,000 per annum
Post Type: Full Time Fixed Term
Release Date: 30 March 2026
Closing Date: 27 April 2026 23.59 BST
Reference: ABCE26014
Birmingham City University are looking to appoint a high calibre graduate as a Generative AI and Intelligent Systems Engineer (KTP Associate).
This role presents an exciting opportunity to work in collaboration with leading academics at Birmingham City University, to apply knowledge and technical innovation, delivered on site at the company.
The Knowledge Transfer Project (KTP) is co‑funded by a grant from Innovate UK and Hockley Mint Limited. It is therefore essential you understand the fundamentals of the KTP collaboration between a UK business and a University, which aims to deliver benefits for each (the company, the university, and the graduate). For more information please go to About – Knowledge Transfer Partnerships.
Personal Training & Development Budget
The Generative AI and Intelligent Systems Engineer (KTP Associate) will have access to a personal development budget of £4,333 to upskill during the project.
Location and Reporting
The successful candidate will be employed by Birmingham City University and seconded to work full‑time onsite at Hockley Mint Limited, 65 – 66 Warstone Lane, Hockley, Birmingham, B18 6NG. The project will deliver a 26‑month KTP partnership between Birmingham City University and Hockley Mint Limited.
Hockley Mint Limited
Hockley Mint Limited (HM) is a well‑established and successful jewellery manufacturer seeking to innovate beyond its traditional business model. To unlock further growth opportunities and transform jewellery manufacturing, the company is developing an AI‑powered digital platform enabling customers to design bespoke jewellery within the retailer network. The project will integrate advanced automation with secure workflows and global retailers, shifting the business and enhancing the customer experience. For further information please see www.hockleymint.co.uk.
The successful candidate will have full access to Birmingham City University’s resources such as offices, labs, and library to complete the KTP project.
The Generative AI and Intelligent Systems Engineer (KTP Associate) will be supervised and mentored by both a lead academic and academic supervisor from BCU’s Department of Computer Science and a company supervisor located at Hockley Mint Limited. Their aim is to assist the Associate in delivering knowledge into HM and successfully delivering the 26‑month KTP project for both parties.
Main Duties and Responsibilities
* Designing the system architecture (presentation, application, data, integration layers).
* Developing multilingual conversational AI.
* Building NLP generative rendering pipelines.
* Developing AI‑driven 3D generation and rendering systems.
* Designing and implementing ETL/data pipelines.
* Integrating AI systems into HM’s existing digital platforms.
* Conducting market analysis and business model redesign.
* Developing training materials and embedding knowledge within the company.
* Producing academic dissemination outputs (conference/journal papers).
The Role Requires The Successful Candidate To
* Lead the technical direction of the KTP project.
* Operate as the interface between the university academics and company stakeholders.
* Translate outputs into commercially viable solutions.
* Work independently while managing project milestones and deliverables.
* Present technical progress to senior management.
* Maintain detailed documentation and version control.
* Ensure compliance with ethical AI and data governance standards.
* Deliver measurable business impact through innovation.
The Generative AI and Intelligent Systems Engineer (KTP Associate) will be expected to interact with the senior management, suppliers and clients of the company as well as BCU academics.
They must also be adept at applying their knowledge to commercial projects, driving value and making an impact where possible, with an ability to solve problems and create innovative solutions.
Skills and Experience
The Generative AI and Intelligent Systems Engineer (KTP Associate) will hold a relevant degree. A first degree (equivalent to a first class or 2:1 honours) in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a closely related discipline is required; a master’s degree in Artificial Intelligence, Machine Learning, Generative AI, or a closely related field will be an advantage.
Essential
* A minimum 2:1 undergraduate qualification in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a closely related discipline.
* Strong programming skills (Python essential).
* Experience with machine learning frameworks (e.g., PyTorch, TensorFlow).
* Experience with Large Language Models (LLMs) and NLP systems.
* Experience designing APIs and system architectures.
* Knowledge of cloud computing environments (AWS, GCP, Azure).
* Experience with data modelling and ETL pipelines.
* Strong analytical and problem‑solving skills.
* Experience working on innovation‑led projects.
* Ability to translate technical solutions into commercial applications.
Desirable
* Master’s degree or PhD (awarded or near completion) in Artificial Intelligence, Machine Learning, Generative AI, or a closely related discipline.
* Experience with generative AI (Diffusion models, CLIP, NeRF, 3D GANs).
* Knowledge of 3D rendering (WebGL, GLTF, mesh processing).
* Experience integrating Speech‑to‑Text systems.
* Experience with multi‑agent AI frameworks (e.g., LangChain).
* Knowledge of Explainable AI (SHAP, LIME).
* Experience with CAD/CAM systems.
* Experience in manufacturing or digital commerce environments.
* Publication record in AI or software engineering.
* Academic acumen to enable successful reporting through research publications in academic journals and marketing/training materials.
On a personal note, the Associate should be enthusiastic, motivated, punctual, conscientious, trustworthy and work well within a team.
For further information please contact Gerald Feldman at Gerald.feldman@bcu.ac.uk or Essa Shahra at essa.shahra@bcu.ac.uk.
The appointed candidate will normally be employed through our subsidiary company BCU Support Services Limited, a wholly owned subsidiary of Birmingham City University. Appointees with prior LGPS membership who wish to enter the LGPS scheme will be able to do so and will be employed by Birmingham City University directly.
Equality, Diversity and Inclusion Statement
We are committed to equality, diversity and inclusion and to an environment that supports lawful free speech and academic freedom. We will continuously review and improve our policies, practices and procedures to ensure that we are promoting these in all aspects of our operations. We believe that by working together, combining our many different backgrounds and life experiences, we will empower each other to reach our full potential.
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