At a Glance
- Tasks: Lead the development of innovative AI solutions for the construction industry.
- Company: Join a pioneering partnership with the University of Wolverhampton and DryWall Steel Sections Ltd.
- Benefits: Gain valuable experience in AI, research, and commercialisation while driving digital transformation.
- Other info: Dynamic role with opportunities for career growth and innovation management.
- Why this job: Make a real impact by applying cutting-edge AI research to industry challenges.
- Qualifications: MSc or PhD in relevant fields with expertise in AI and software development.
The predicted salary is between 63000 - 77000 £ per year.
The University of Wolverhampton is seeking an ambitious and innovative MSc or Ph D graduate to join a pioneering Knowledge Transfer Partnership (KTP) with Dry Wall Steel Sections Ltd (DWSS), one of the UK’s leading Light Gauge Steel (LGS) specialists.
This exciting opportunity will suit a candidate with expertise in Artificial Intelligence, Generative AI, Machine Learning and software development who is looking to apply cutting-edge research to real-world industry challenges.
Working at the interface of academia and industry, you will lead the development of an innovative AI-powered solution, helping to drive digital transformation and business growth within a leading construction company.
The successful candidate will have experience developing scalable AI and Gen AI applications, building web-based solutions, and deploying AI models into operational environments.
You will possess strong programming skills, excellent analytical and problem-solving abilities, and the confidence to engage with a range of technical and non-technical stakeholders.
Experience of cloud-based technologies, MLOps, large language models and AI model deployment is essential, while knowledge of construction industry workflows would be advantageous.
Alongside technical delivery, the role offers the opportunity to contribute to research outputs, develop commercial awareness and entrepreneurial skills, and gain valuable experience in innovation management through the nationally recognised KTP programme.
Duties and Responsibilities
- Technical Development
- Design, implement, and evaluate AI models to support LGS workflows.
- Build APIs to interface with existing DWSS tools and workflows.
- Implement human-in-the-loop review workflows supporting expert validation and continuous model improvement.
- Produce data dashboards and reporting tools to evidence time savings, efficiency gains, and intervention levels.
- Research, Innovation and Commercialisation
- Apply state-of-the-art research in Gen AI, LLMs, and data science to practical construction industry challenges.
- Contribute to academic publications, industry demonstrators, and knowledge dissemination activities.
- Project Management and Stakeholder Engagement
- Plan, monitor, and deliver KTP project milestones on time and within scope.
- Produce progress reports and presentations for senior stakeholders and Innovate UK.
This Knowledge Transfer Partnership (KTP) between the University of Wolverhampton and Dry Wall Steel Sections Ltd will develop an innovative AI-enabled solution to support digital transformation within the construction sector.
By combining advanced AI, Generative AI and software development techniques, the project will create new capabilities that improve efficiency, support decision-making and deliver sustainable business growth.
The successful Associate will play a leading role in delivering this innovation while gaining experience across research, technology development and commercialisation.
About the business
Dry Wall Steel Sections Ltd (DWSS) is one of the UK’s leading Light Gauge Steel (LGS) specialists, providing design, manufacture, supply and distribution services to the construction sector.
Delivering end-to-end turnkey solutions, the company has built a strong reputation for quality, innovation and technical expertise, supporting projects across a range of residential and commercial developments.
#J-18808-Ljbffr
AI Developer (KTP Associate) in Wolverhampton employer: The Knowledge Transfer Network Limited
The Knowledge Transfer Network Limited is an exceptional employer, offering a dynamic work environment in Glasgow that fosters innovation and collaboration. With a strong commitment to employee growth, we provide opportunities for professional development in the rapidly evolving field of digital mental health and AI ethics. Our inclusive culture encourages creativity and teamwork, making it a rewarding place for those passionate about making a meaningful impact in mental health services.
Contact Details:
The Knowledge Transfer Network Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Developer (KTP Associate) in Wolverhampton
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at The Knowledge Transfer Network Limited or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to The Knowledge Transfer Network Limited.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like The Knowledge Transfer Network Limited.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like The Knowledge Transfer Network Limited that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Developer (KTP Associate) in Wolverhampton
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at The Knowledge Transfer Network Limited.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at The Knowledge Transfer Network Limited and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at The Knowledge Transfer Network Limited
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If The Knowledge Transfer Network Limited uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
