At a Glance
- Tasks: Lead the design and deployment of AI-enabled Digital Twin platforms for asset management.
- Company: Join the University of Derby and Saith Ltd, a forward-thinking partnership.
- Benefits: Fixed-term contract with training budget, access to university facilities, and ongoing support.
- Other info: Exciting opportunity for career growth in a dynamic, inclusive environment.
- Why this job: Make a real-world impact by applying cutting-edge AI and computer vision technologies.
- Qualifications: Experience in AI solutions, data pipelines, and strong communication skills required.
The predicted salary is between 30000 - 40000 £ per year.
The University of Derby's College of Science and Engineering, in partnership with Saith Ltd, is offering an exciting career development opportunity to manage and deliver a challenging strategic Knowledge Transfer Partnership (KTP) project. Based at Saith Ltd's premises in Hampshire, you will be employed by the University as a KTP Associate but work under the terms and conditions of the company.
You will lead the design, development, and deployment of a practical, production-ready AI-enabled Digital Twin platform to support intelligent asset management within energy and utility infrastructure. You will work at the interface of research and industry, translating advanced AI, computer vision, and data-driven methods into scalable solutions deployed within live engineering environments.
You will take ownership of the end-to-end system lifecycle, integrating multi-source data, including BIM, LiDAR, point cloud, and operational datasets, to develop solutions for automated inspection, anomaly detection, predictive maintenance, and intelligent decision support. Crucially, you will ensure that solutions are commercially viable, aligned with client requirements, and deliver measurable operational value.
Working closely with design, construction, and operational teams, you will contribute directly to live engineering projects, ensuring solutions are effectively integrated, validated, and deliver real-world impact. The role will also support the adoption of AI and Digital Twin technologies within Saith through training, knowledge transfer, and integration into operational workflows.
This is a unique opportunity for an ambitious candidate to contribute to the development of scalable digital solutions, supporting improved asset performance, operational efficiency, and data-driven decision-making across infrastructure and utility sectors. You will also have the opportunity to contribute to the long-term development of AI and Digital Twin capability within the organisation, supporting future growth and innovation.
Using your knowledge and skills to support the business and achieve specific project aims, you will receive ongoing support from a Supervisor at Saith Ltd and an Academic Supervisor and Academic Lead from the University of Derby to help you deliver. A personal training and development budget will also be available for you to access, as well as receiving access to the same training opportunities and facilities as University staff.
This is an exciting career development opportunity to deliver a high-impact project, working with academic experts and industry professionals and gaining hands-on experience in deploying advanced AI solutions within a real-world engineering consultancy environment.
Contract: Fixed-term contract for 24 months.
About You: We are looking for a talented and driven individual with experience delivering end-to-end AI and data-driven solutions in real-world operational environments, with a clear focus on achieving measurable impact. You will bring strong experience in building and optimising scalable data pipelines using Python and SQL, managing the full data lifecycle from ingestion through to processing and validation. You will also have hands-on experience applying machine learning and computer vision techniques, such as detection, classification, segmentation, and anomaly detection, to solve complex, real-world challenges.
You will work both independently and as part of multidisciplinary teams, bringing a practical, solutions-focused mindset. Strong communication skills are essential, with the ability to clearly present complex technical concepts to both technical and non-technical stakeholders.
About Us: We have one simple promise to make a positive impact. Through our ground-breaking research, teaching excellence and commitment to sustainable living, we are changing lives for the better. The University of Derby is a modern university with a modern outlook. Everything we do is driven by delivering excellence and opportunities for our students, our staff and our region.
We have some of the best university facilities in the UK, achieve outstanding results for our teaching and research, and have been awarded Gold in the prestigious Teaching Excellence Framework (TEF) 2023 making us one of the top universities in the country, recognised for our outstanding student experience and outcomes. Financially strong and seriously ambitious, we offer our employees an inclusive culture that centres itself around staff wellbeing, where you can be confident you will receive all the help and encouragement you need to build a rewarding career, with lots of opportunities to enhance your skills.
For further information and to apply, please visit our website via the Apply button. Closing date: Sunday, 5 July 2026. Interview date: Tuesday, 21 July 2026. This role may be eligible for sponsorship by the University. The University of Derby is committed to promoting equity, diversity and inclusion, regardless of age, disability, trans status, marriage and civil partnership, pregnancy and maternity, race, religion or belief (or none), sex and sexual orientation.
AI, Computer Vision & Digital Twin Engineer in Southampton employer: University of Derby
The University of Derby, in collaboration with Saith Ltd, offers a dynamic and supportive work environment for the AI, Computer Vision & Digital Twin Engineer role. Employees benefit from a strong focus on professional development, including access to training budgets and facilities akin to university staff, fostering a culture of innovation and collaboration. This unique partnership not only allows you to work on impactful projects at the forefront of technology but also ensures a commitment to employee wellbeing and career growth within a leading educational institution.
StudySmarter Expert Advice🤫
We think this is how you could land AI, Computer Vision & Digital Twin Engineer in Southampton
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We think you need these skills to ace AI, Computer Vision & Digital Twin Engineer in Southampton
Some tips for your application 🫡
Show Off Your Data Skills:Make sure to highlight your data-related skills clearly in your CV. If you've worked on any projects using Python or R, be sure to mention them. Also, if you've dabbled in machine learning, include that too—employers love a hands-on learner!
Include Relevant Projects:Since this is a trainee position, listing your university projects or any personal data science projects can really impress. Attach a GitHub link if possible, so University of Derby can see your code and your thought process. Practical experience, even if it's academic, can set you apart!
Personalise Your Cover Letter:Use your cover letter to show how passionate you are about data science. Describe why you're excited about the opportunity at University of Derby and how the role aligns with your career goals in this dynamic field. We want to see your enthusiasm and potential to grow.
Tailor Your CV for Trainees:Since you’re applying for a trainee position, focus on academic achievements and any relevant coursework in your CV. Don’t sweat the lack of professional experience—your ability to learn and adapt is what counts. Also, make sure to align your CV format with data science norms; keep it clear and concise!
How to prepare for a job interview at University of Derby
✨Show Off Your Data Skills
Make sure you're ready to chat about the tools we use in data science, like Python, R, or SQL. Brush up on key concepts like data cleaning, analysis, and visualisation — interviewers often delve into these areas to see how you think and approach problems.
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✨Ask Insightful Questions
Use this opportunity to find out more about the team’s projects and tools. Questions like ‘What data challenges are you currently facing?’ can demonstrate our interest while also helping us understand how we might fit into University of Derby’s culture and workflow.
