At a Glance
- Tasks: Design and develop innovative AI systems for a leading jewellery manufacturer.
- Company: Join Birmingham City University and Hockley Mint in a collaborative project.
- Benefits: Enjoy a competitive salary, personal development budget, and access to university resources.
- Why this job: Make a real impact in the jewellery industry with cutting-edge AI technology.
- Qualifications: Relevant degree in Computer Science or related field; experience with AI and machine learning.
- Other info: Dynamic role with mentorship from top academics and industry professionals.
The predicted salary is between 38000 - 42000 £ per year.
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.
This 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 works to deliver benefits for each (the company, the university, and the graduate).
The Generative AI and Intelligent Systems Engineer (KTP Associate) will have access to a wider range of benefits including a personal development budget of £4,333 to upskill during the project.
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 Generative AI and Intelligent Systems Engineer (KTP Associate) will deliver the 26-month KTP project in partnership Birmingham City University and 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 by developing an AI powered digital platform enabling customers to design bespoke jewellery within the retailer network. Integrating advanced automation with secure workflows and global retailers, the project shifts the business and enhances the customer experience.
The successful candidate will have full access to Birmingham City University’s resources such as offices, labs, and library to complete the KTP project (a project workplan written with KPIs and outcome deliverables has been written).
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 within the School of Architecture, Built Environment, Computing and Engineering (ABCE) as well as a company supervisor located at Hockley Mint Limited whose aim is to assist the Generative AI and Intelligent Systems Engineer (KTP Associate) to deliver the knowledge into Hockley Mint Limited and successfully deliver the 26-month KTP project on behalf of Hockley Mint Limited and Birmingham City University.
Main Duties and Responsibilities:
- Designing the system architecture (presentation, application, data, integration layers).
- Developing multilingual conversational AI.
- Developing AI-driven 3D generation and rendering systems.
- Designing and implementing ETL/data pipelines.
- 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.
- Main 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. The Generative AI and Intelligent Systems Engineer (KTP Associate) 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.
The Generative AI and Intelligent Systems Engineer (KTP Associate) must have the following key attributes to ensure the project’s successful completion.
Skills and Experience:
- The Generative AI and Intelligent Systems Engineer (KTP Associate) will hold a relevant degree. This might be 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. A master’s degree in Artificial Intelligence, Machine Learning, Generative AI, or a closely related field will be an advantage.
- A minimum 2:1 undergraduate qualification in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a closely related discipline with a First Class or 2:1 Honours degree.
- 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.
- Master’s degree or PhD (awarded or near completion) in Artificial Intelligence, Machine Learning, Generative AI, or a closely related discipline will be an advantage.
- 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.
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.
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.
Generative AI Systems Engineer — KTP Associate (Onsite) in Birmingham employer: BIRMINGHAM CITY UNIVERSITY
Contact Detail:
BIRMINGHAM CITY UNIVERSITY Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Systems Engineer — KTP Associate (Onsite) in Birmingham
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend events, join online forums, and don’t be shy to reach out on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to generative AI and intelligent systems. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to the role. Think about how you can demonstrate your problem-solving skills and technical knowledge. We recommend doing mock interviews with friends or mentors to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. So, get that application in and let’s make it happen!
We think you need these skills to ace Generative AI Systems Engineer — KTP Associate (Onsite) in Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Generative AI Systems Engineer role. Highlight relevant skills and experiences that align with the job description, especially in AI, machine learning, and system architecture.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're the perfect fit for this role. Share your passion for generative AI and how your background can contribute to the KTP project at Hockley Mint Limited.
Showcase Your Projects: If you've worked on any relevant projects, whether academic or personal, make sure to include them. We want to see your hands-on experience with AI frameworks, data pipelines, or anything else that demonstrates your skills.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can't wait to see what you bring to the table!
How to prepare for a job interview at BIRMINGHAM CITY UNIVERSITY
✨Know Your KTP Inside Out
Before the interview, make sure you understand the Knowledge Transfer Partnership (KTP) model. Familiarise yourself with how it benefits both the university and the company. This will show your enthusiasm for the role and your readiness to contribute to the collaboration.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning frameworks, APIs, and system architectures. Bring examples of past projects where you've applied these skills, especially in generative AI or intelligent systems. This will help demonstrate your technical prowess and problem-solving abilities.
✨Prepare for Scenario-Based Questions
Expect questions that assess how you would handle real-world challenges in the role. Think about potential scenarios related to designing AI systems or integrating new technologies. Practising your responses will help you articulate your thought process clearly during the interview.
✨Engage with Your Interviewers
Remember, interviews are a two-way street! Prepare thoughtful questions about the project, the team, and the company's vision for innovation. Engaging with your interviewers shows your genuine interest in the role and helps you determine if it's the right fit for you.