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Position: AI Consultant (KTP Associate) 

Based at: TVS Supply Chain Solutions, Chorley, Lancashire (Hybrid)

Salary: Up to £40,740 

The role: 

An exciting opportunity has become available for a recent graduate to work full time on a 28-month Knowledge Transfer Partnership (KTP) to refine, validate and operationalise an AI Assistant underpinned by a Large Language Model (LLM). This will involve undertaking work to embed the AI Assistant with the organisation and to develop an AI Management Standard.

Employed and supported by an academic team from the University, you will be based at TVS's premises in Chorley, Lancashire. There will be occasional travel to Manchester Metropolitan University. Hybrid working options available.

To find out more about TVS, go to https://www.tvsscs.com 

Qualifications we require: 

An honours degree in Computer Science, Artificial Intelligence, or a related discipline (or equivalent experience). 

A Master's or Doctorate level qualification in Computer Science / Artificial Intelligence, or a qualification in a complementary field such as an MBA, is desirable. 

Application requirements: 

Applied Knowledge 

  • LLMs and related AI technologies. 
  • AI ethics and responsible AI best practices.
  • Knowledge of relevant UK, European, and global legislative frameworks pertaining to AI, e.g. GDPR, IP, DPIA, EU AIA.
  • Technical attributes and legal/commercial considerations of all of the above.

Attributes 

  • Commitment to excellence with independent and collaborative problem-solving skills 
  • Able to communicate complex technical information to non-expert personnel and engage with wider stakeholders 

Experience 

  • Experience in selecting, implementing and applying suitable LLMs and optimising using prompt engineering, Retrieval Augmented Generation (RAG), etc (industry experience desirable). 
  • Experience in deploying/operationalising AI systems (industry experience desirable).
  • Creating and delivering AI training programmes (industry experience desirable). 
  • Exposure to good scientific and academic practice relating to AI. 

About KTP: 

For nearly 50 years, Knowledge Transfer Partnerships (KTPs) have been helping to innovate for growth by connecting businesses that have an innovation idea with the academic expertise to help deliver it. Currently around 800 businesses, 100 knowledge bases and over 800 graduates are involved in KTPs – collaborative, transformative three-way partnerships creating positive impact and driving innovation. 

Benefits: 

  • £2,000 per year to spend on personal training 
  • opportunity to register on a higher degree at a reduced cost 
  • opportunity of a permanent position with the company: 70% of host companies make a permanent job offer to their Associate at the end of the project 

For an informal discussion, please contact Sam Attwood s.attwood@mmu.ac.uk or Dr Ashley Williams ashley.williams@mmu.ac.uk 

To Apply:

Apply at https://manmetjobs.mmu.ac.uk/jobs by submitting a CV and a covering letter detailing how you meet the criteria for the role. Only applications with a covering letter will be considered. 

Due to the nature of KTP funding, those who have already completed more than 1 year of a KTP are not eligible to apply. 

 

Manchester Met University is committed to creating an intentionally inclusive culture of belonging that promotes equity and celebrates diversity. We understand the importance of having a diverse workforce and the benefits it can bring to ensuring diversity of thought and innovation in everything we do. We, therefore, encourage applications from our local and international communities, in particular people from ethnic minority groups, disabled people and people who identify as LGBTQIA+.

 
 
 

Details

  • Location:
    Manchester All Saints Campus
  • Faculty / Function:
    Science & Engineering
  • Closing Date:
    6 October 2024
  • Contract Type:
    fixed term
  • Contracted Hours per week:
    37

Benefits

Meet the recruiter

Claire Muir

C.Muir@mmu.ac.uk

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