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New appointees to Birmingham City University will ordinarily be appointed at the entry point of the appropriate grade |  |  |  |\n| Responsible to: | Academic Lead | Responsible for: | N/A |\n| Job Purpose |  |  |  |\n| This position forms part of the Knowledge Transfer Partnership (KTP) programme co-funded by Innovate UK and Hockley Mint Limited (HM) . The Generative AI and Intelligent Systems Engineer (KTP Associate) will work on a 26-month collaborative innovation project to design, develop, and implement a personalised e-commerce platform that enables intelligent jewellery co-creation, generative 3D design, and AI-driven business automation for Hockley Mint Limited. The Associate will integrate advanced AI, generative design, and autonomous agent technologies into the company’s digital platforms.\u003Cbr>The Project\u003Cbr>The project focuses on developing an AI-enabled adaptive recommender system to deliver a commercially deployable hyper-personalisation suite embedded within HM’s e-commerce platform. The project will leverage Large Language Models (LLMs), Multilingual NLP pipelines, and Genetic AI recommender systems and Explainable AI (XAI) techniques. |  |  |  |\n\n\n| Main Activities and Responsibilities |\n| --- |\n| The successful candidate will lead the design, development, and deployment of the AI-enabled hyperpersonalisation suite for Hockley Mint. The position is for 26 months. The expected start date is as soon as is practical.\u003Cbr>The Associate will work on:\u003Cbr>• Designing the system architecture (presentation, application, data, integration layers)\u003Cbr>• Developing multilingual conversational AI\u003Cbr>• Building NLP generative rendering pipelines\u003Cbr>• Developing AI-driven 3D generation and rendering systems\u003Cbr>• Designing and implementing ETL/data pipelines\u003Cbr>• Integrating AI systems into HM’s existing digital platforms\u003Cbr>• Conducting market analysis and business model redesign\u003Cbr>• Developing training materials and embedding knowledge within the company\u003Cbr>• Producing academic dissemination outputs (conference/journal papers) The role requires the successful candidate to:\u003Cbr>• Lead the technical direction of the KTP project\u003Cbr>• Operate as the interface between the university academics and company stakeholders\u003Cbr>• Translate outputs into commercially viable solutions |\n\n\n| • Work independently while managing project milestones and deliverables\u003Cbr>• Present technical progress to senior management\u003Cbr>• Main detailed documentation and version control\u003Cbr>• Ensure compliance with ethical AI and data governance standards\u003Cbr>• Deliver measurable business impact through innovation |  |\n| --- | --- |\n| Person Specification |  |\n| Essential Criteria | Application Form / Support Statement / Interview |\n| 1. A minimum 2:1 or first-class undergraduate qualification in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a closely related discipline | Application Form / Support Statement / Interview |\n| 2. Strong programming skills (Python essential) | Application Form / Support Statement / Interview |\n| 3. Experience with machine learning frameworks (e.g. , PyTorch, TensorFlow) | Application Form / Support Statement / Interview |\n| 4. Experience with Large Language Models (LLMs) and NLP systems | Application Form / Support Statement / Interview |\n| 5. Experience designing APIs and system architectures | Application Form / Support Statement / Interview |\n| 6. Knowledge of cloud computing environments (AWS, GCP, Azure) | Application Form / Support Statement / Interview |\n| 7. Experience with data modelling and ETL pipelines | Application Form / Support Statement / Interview |\n| 8. Strong analytical and problem-solving skills | Application Form / Support Statement / Interview |\n| 9. Experie","cbCairdgeBSQqI33","https://ap.wps.com/l/cbCairdgeBSQqI33","pdf",222473,"English","# Job Purpose\n# Main Activities and Responsibilities\n# Person Specification\n## Essential Criteria\n## Desirable Criteria","[{\"question\":\"What is the core goal of the 26-month KTP project for this role?\",\"answer\":\"To design, develop, and implement a personalised e-commerce platform enabling intelligent jewellery co-creation, generative 3D design, and AI-driven business automation.\"},{\"question\":\"Which AI and data technologies are expected in the work?\",\"answer\":\"The role focuses on an AI-enabled adaptive recommender system using LLMs, multilingual NLP pipelines, genetic AI recommender systems, and Explainable AI, alongside ETL/data pipelines and AI-driven 3D generation.\"},{\"question\":\"What essential qualifications and experience are required?\",\"answer\":\"A minimum 2:1 or first-class degree in relevant disciplines, strong Python programming, machine learning framework experience, LLM/NLP experience, API/system architecture experience, cloud knowledge (AWS/GCP/Azure), data modelling and ETL experience, strong analytical skills, innovation project experience, and the ability to translate technical solutions into commercial applications.\"}]","Generative AI and Intelligent Systems Engineer - KTP Associate - Job Description | PDF",1789367393]