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- Tasks: Lead an innovative AI project in the reinsurance industry, focusing on LLM and data management.
- Company: Join UCL School of Management, renowned for its cutting-edge research and education in business and technology.
- Benefits: Enjoy 41 days of holiday, a pension scheme, and professional development opportunities.
- Why this job: Be part of a transformative project that merges academia with industry, enhancing your career prospects.
- Qualifications: Postgraduate/doctoral degree in Computer Science, Machine Learning, or related fields required.
- Other info: Opportunity to publish work and access a network of professionals in a prestigious KTP programme.
The predicted salary is between 38607 - 44840 £ per year.
About us
The UCL School of Management is home to UCL's business and management research and education programmes. The School has forged a reputation for world-leading research and teaching in the areas of innovation management, the creation and growth of technology-intensive organisations, business analytics, and entrepreneurship.
This role, funded through a Knowledge Transfer Partnership (KTP), offers a springboard to a career in both industry and academia to candidates interested in LLM, data analytics, and programming. The successful candidate will get to apply their experience with LLM projects and ML tools daily to a cutting-edge AI initiative in the reinsurance industry.
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 the efficiency of 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:
- Developing and fine-tuning an automated pipeline for extracting semi-structured and unstructured data using LLM-based methods.
- Extending the pipeline to support multilingual and regional applications.
- 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 £38,607 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 £44,840 pa (including London Allowance). We expect the appointed candidate to start in July 2025.
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, 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 mgmt.-hrsom@ucl.ac.uk.
For informal enquiries about the role, please contact Dr Deyu Ming (deyu.ming.16@ucl.ac.uk).
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 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.
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
- Immigration loan
- Relocation scheme for certain posts
- Enhanced maternity, paternity, and adoption pay
- Employee assistance programme: Staff Support Service
- Discounted medical insurance
Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.
Our commitment to Equality, Diversity and Inclusion
As London's Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.
We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce. These include people from Black, Asian, and ethnic minority backgrounds; disabled people; LGBTQI+ people; and, for our Grade 9 and 10 roles, women.
You can read more about our commitment to Equality, Diversity, and Inclusion here.
Knowledge Transfer Partnership (KTP) Associate in Artificial Intelligence employer: Job Traffic
Contact Detail:
Job Traffic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Knowledge Transfer Partnership (KTP) Associate in Artificial Intelligence
✨Tip Number 1
Familiarise yourself with the latest advancements in LLM and machine learning tools. Being able to discuss recent developments or trends in these areas during your interview will demonstrate your passion and knowledge, making you a standout candidate.
✨Tip Number 2
Network with professionals in the reinsurance industry and those involved in AI projects. Attend relevant conferences or webinars to connect with potential colleagues and mentors who can provide insights into the role and the company culture at Howden Re.
✨Tip Number 3
Prepare to showcase your programming skills by working on relevant projects that highlight your ability to develop automated workflows. Having a portfolio of work, especially on platforms like GitHub, can give you an edge in demonstrating your practical experience.
✨Tip Number 4
Research UCL's School of Management and its approach to innovation management. Understanding their values and how they align with your own will help you articulate why you're a great fit for the KTP Associate role during interviews.
We think you need these skills to ace Knowledge Transfer Partnership (KTP) Associate in Artificial Intelligence
Some tips for your application 🫡
Tailor Your Supporting Statement: Craft a supporting statement that specifically addresses the qualifications and experience outlined in the job description. Highlight your relevant skills in LLM, data analytics, and programming, and explain how they make you a suitable candidate for the KTP Associate role.
Showcase Your Projects: Include links to your GitHub, GitLab, or other repositories in your CV. Make sure these showcase relevant work, particularly any projects related to machine learning, NLP, or data management, as this will demonstrate your practical experience.
Highlight Communication Skills: Since strong communication skills are essential for this role, provide examples in your CV or supporting statement that illustrate your ability to collaborate effectively and convey complex information clearly, especially in a project management context.
Review and Edit: Before submitting your application, thoroughly review your CV and supporting statement for clarity, grammar, and spelling. A polished application reflects your attention to detail and professionalism, which are crucial in both academia and industry.
How to prepare for a job interview at Job Traffic
✨Showcase Your Technical Skills
Be prepared to discuss your experience with LLM projects, data analytics, and programming. Highlight specific tools and methodologies you've used, as this role heavily relies on these skills.
✨Demonstrate Communication Abilities
Since the role involves collaboration between industry and academia, practice explaining complex technical concepts in simple terms. This will show your ability to communicate effectively with non-expert users.
✨Prepare for Project Management Questions
Expect questions about your project management experience. Be ready to share examples of how you've successfully led projects, managed timelines, and collaborated with teams to achieve goals.
✨Research the Company and Industry
Familiarise yourself with Howden Re and the reinsurance industry. Understanding their challenges and how AI can address them will demonstrate your genuine interest in the role and the company.
