Knowledge Transfer Partnership (KTP) Associate in Artificial Intelligence

UCL Eastman Dental Institute; London; On-site; GBP 38,000 - 44,000; Full time

Job summary

UCL Eastman Dental Institute seeks a KTP Associate in Artificial Intelligence to lead a cutting-edge project in the reinsurance sector. The role involves developing automated data management workflows and requires a postgraduate degree in a relevant field. Great benefits and a supportive work environment are offered, including generous annual leave and professional development opportunities.

Benefits

41 Days holiday

Defined benefit pension scheme

Cycle to work scheme

Relocation scheme

Enhanced maternity, paternity, and adoption pay

Employee assistance programme

Qualifications

• Strong communication and programming skills.
• Collaborative and self-motivated attitude.
• Good project management skills required.

Responsibilities

• Lead an innovation project using LLMs for data management.
• Develop automated pipelines for data extraction.
• Create user-friendly interfaces for non-expert users.

Skills

Communication

Programming

Project Management

Education

Postgraduate degree in Computer Science or similar

Doctoral degree in relevant field

Job description

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Knowledge Transfer Partnership (KTP) Associate in Artificial Intelligence, London

Client:

London, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

Job Reference:

773ea8db2e67

Job Views:

7

Posted:

22.06.2025

Expiry Date:

06.08.2025

Job Description:

About the role

This is an exciting opportunity for someone with a postgraduate/doctoral degree in Computer Science, Machine Learning, NLP, Computer Linguistics, or a closely related field. The post holder will lead a cutting-edge innovation project that aims to revolutionise the non-catastrophe insurance market by leveraging LLMs to streamline and enhance data management and analysis. Based at Howden Re, the fastest growing reinsurance broker, the KTP Associate will develop and deliver a state-of-the-art LLM-driven automated workflow for data profiling in the reinsurance industry.

The objectives of the project include:

1. Developing and fine-tuning an automated pipeline for extracting semi-structured and unstructured data using LLM-based methods.
2. Extending the pipeline to support multilingual and regional applications.
3. Creating a user-friendly interface that makes advanced tools accessible to non-expert users.

Plus, the successful candidate will be part of the prestigious 50-year-old national Knowledge Transfer Partnership programme offering a dedicated professional development budget, a network of fellow Associates from many disciplines, and training and mentoring opportunities. The Associate will also have the opportunity to write publications about their work alongside the academic and company teams.

Salary details: The post is offered with a salary on UCL Grade 6B with a salary starting at £38,000 pa (including London Allowance). Appointment at Grade 7 is dependent upon having been awarded a PhD and will be offered with a starting salary of £44,000 pa (including London Allowance).

Start date: We expect the appointed candidate to start in July.

Please see the attached job description and person specification for full details. Please include a supporting statement outlining your qualifications and experience, and explaining how they make you a suitable candidate for the position. Also, include a curriculum vitae, including a list of publications (if available) and links to GitHub, GitLab, or other repositories showcasing relevant work (if applicable).

If you need reasonable adjustments or a more accessible online format to apply for this job, please contact [contact details].

For informal enquiries about the role, please contact Dr Deyu Ming.

About you

The successful candidate will need to demonstrate strong communication and programming skills, a collaborative and self-motivated attitude, and good project management skills. These will ensure the KTP Associate fully enjoys the benefits of their unique position at the interface between industry and academia, including their close access to marketing and data analytics experts.

Find out more about KTPs here: What we offer

As well as the exciting opportunities this role presents, we also offer some great benefits, some of which are below:

• 41 Days holiday (27 days annual leave, 8 bank holidays, and 6 closure days)
• An additional 5 days’ annual leave purchase scheme
• Defined benefit career average revalued earnings pension scheme (CARE)
• Cycle to work scheme and season ticket loan
• Relocation scheme for certain posts
• Enhanced maternity, paternity, and adoption pay
• Employee assistance programme: Staff Support Service