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- Tasks: Lead an impactful AI project, developing a business health diagnostic platform.
- Company: Join VFD Pro Limited and the University of Southampton's FinTech and AI experts.
- Benefits: Enjoy a competitive salary, remote work options, and a £5,000 training allowance.
- Why this job: Fast-track your career in AI while making a real difference in business and finance.
- Qualifications: PhD or equivalent in Computer Science, AI, or related fields; experience with Python is essential.
- Other info: Monthly in-person meetings in Portchester, travel costs covered.
The predicted salary is between 36636 - 43482 £ per year.
Salary: £36,636 – £43,482 (+ £5,000 training allowance)
This is an excellent opportunity for an artificial intelligence (AI) engineer to fast-track their career by leading a strategically important and potentially highly impact project. The role will suit applicants from a strong technical AI background who have a strong interest in business, finance, and commercialisation.
Through a Knowledge Transfer Partnership (KTP), the successful AI engineer will work with VFD Pro Limited and the University of Southampton Business School\’s FinTech and AI experts to embed and commercialise AI platforms, algorithms, and tools critical to VFD\’s vision of an enhanced customer offering. The following links provide more information on Knowledge Transfer Partnerships ( https://www.ktp-uk.org/ ) and VFD Pro Limited ( https://www.vfd-pro.com/ )
This is a largely remote position with the AI engineer being required to attend an in-person meeting in Portchester, Hampshire at least once a month (travel costs are covered).
The AI engineer will be required to undertake the following activities.
- Build an AI-powered platform: To develop and implement an AI-powered business health diagnostic platform.
- Working with people: Collaborating with internal teams, clients, and stakeholders to understand their needs, gather feedback, and ensure effective communication throughout the project.
- Delivering results and meeting customer expectations: Ensuring that project milestones are achieved, deliverables are met on time and within budget, and customer expectations are consistently exceeded.
- Project management and personal development: Learning and implementation of project and commercial management tools and techniques.
The successful AI engineer will have the following skills, experience and attributes:
- PhD or equivalent professional qualifications and experience in Computer Science, Financial Technology, Data Science, Artificial Intelligence, or a similar field.
- Experience with AI model development and deployment using Python and other relevant frameworks.
- An awareness of SaaS business models, ideally in financial services (Advantageous)
- Ability to manage individual workload whilst being part of a wider team.
- Confident in communicating technical information to non-technical audiences.
- A passion for self-development and expanding commercial landscape knowledge.
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Further details:
- Job Description and Person Specification
We are committed to equality, diversity and inclusion and welcome applicants who support our mission of inclusivity.
Apply by 11.59 pm GMT on the closing date. For assistance contact Recruitment on +44(0)2380 592750 or recruitment@soton.ac.uk quoting the job number.
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Job Details
Section Decision Analytics & Risk Location: Other Salary £36,636 to £43,482 per annum Full Time Fixed Term for 30 months Closing Date: Wednesday 10 September 2025 Interview Date To be confirmed Reference 3183325TR
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Artificial Intelligence Engineer (KTP Associate) employer: University of Southampton
Contact Detail:
University of Southampton Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer (KTP Associate)
✨Tip Number 1
Familiarise yourself with the specific AI technologies and frameworks mentioned in the job description, such as Python and relevant AI model development tools. This will not only boost your confidence but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Research VFD Pro Limited and their current projects or initiatives in the AI space. Understanding their business model and how they integrate AI into their services will help you tailor your discussions and demonstrate your genuine interest in their work.
✨Tip Number 3
Prepare to discuss your experience with project management and how you've successfully collaborated with teams in the past. Highlighting your ability to meet deadlines and exceed customer expectations will resonate well with the role's requirements.
✨Tip Number 4
Showcase your passion for self-development by mentioning any recent courses, certifications, or projects related to AI and FinTech. This demonstrates your commitment to staying updated in a rapidly evolving field and aligns with the role's focus on personal growth.
We think you need these skills to ace Artificial Intelligence Engineer (KTP Associate)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in AI, particularly any projects involving AI model development and deployment. Emphasise your technical skills in Python and any frameworks you've used.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and its commercial applications. Mention your interest in the business and finance sectors, and how you can contribute to VFD Pro Limited's vision.
Showcase Project Management Skills: Include examples of your project management experience, especially in collaborative environments. Highlight any tools or techniques you've used to manage projects effectively.
Prepare for Technical Communication: Be ready to demonstrate your ability to communicate complex technical information to non-technical audiences. Consider including examples from past experiences where you've successfully done this.
How to prepare for a job interview at University of Southampton
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AI model development and deployment, particularly using Python. Highlight specific projects you've worked on that demonstrate your technical expertise and how they relate to the role.
✨Understand the Business Context
Since this role involves collaboration with business and finance experts, make sure you understand the basics of SaaS business models and how AI can enhance customer offerings in financial services. This will show your interest in the commercialisation aspect of the project.
✨Communicate Effectively
Practice explaining complex technical concepts in simple terms. You may need to communicate with non-technical stakeholders, so demonstrating your ability to bridge that gap will be crucial during the interview.
✨Demonstrate Project Management Skills
Be ready to discuss your experience with project management tools and techniques. Share examples of how you've successfully managed workloads and met deadlines in previous projects, as this is a key part of the role.
