Specialist in Generative AI and Large Language Models for Product Innovation- KTP Associate
Specialist in Generative AI and Large Language Models for Product Innovation- KTP Associate

Specialist in Generative AI and Large Language Models for Product Innovation- KTP Associate

North East Full-Time 34000 - 43000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the development of a cutting-edge Knowledge Management platform using Generative AI and LLMs.
  • Company: Join Procter & Gamble and Newcastle University, leaders in innovation and research.
  • Benefits: Enjoy a £4,000 training budget, generous holidays, and flexible working arrangements.
  • Why this job: Be at the forefront of AI technology while enhancing your career prospects in a collaborative environment.
  • Qualifications: Master's or PhD in Computer Science, AI, Machine Learning, or related fields required.
  • Other info: This is a 24-month fixed-term role based primarily at Procter & Gamble in Reading.

The predicted salary is between 34000 - 43000 £ per year.

Specialist in Generative AI and Large Language Models for Product Innovation- KTP Associate

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Specialist in Generative AI and Large Language Models for Product Innovation- KTP Associate

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Specialist in Generative AI and Large Language Models for Product Innovation- KTP Associate

Requisition ID: 28250

Location:

Newcastle, GB

Contract Type: Fixed Term

Working Pattern: Full Time

Posted Date: 11 Jun 2025

Salary: £40,000-£43,000 (plus substantial training budget) per annum

Newcastle University is a great place to work, with excellent benefits. We have a generous holiday package; plus the opportunity to buy more, great pension schemes and a number of health and wellbeing initiatives to support you.

Closing Date: 24 July 2025

The Role

Procter & Gamble and Newcastle University are offering an exciting opportunity to accelerate product innovation and increase business productivity by automating the construction of an enterprise-level Knowledge Management and discovery platform via the use of novel Generative AI, Large Language Models, and human-AI collaboration techniques.

Procter & Gamble is the world\’s leading non-food consumer products manufacturer with activities in five sector business units of Baby, Feminine & Family Care; Beauty; Health Care; Grooming; and Fabric & Home Care (F&HC).

Based at Procter & Gamble, Reading, you will lead a Knowledge Transfer Partnership (KTP) project. You will lead the development and deployment of an enterprise-level Knowledge Management and Discovery Platform for Product Innovation based on novel Generative AI, Large Language Models, and Human-AI collaboration techniques.

You will be supported by an interdisciplinary team from Newcastle University, led by Dr Huizhi Liang, with expertise in Artificial Intelligence, Generative AI, NLP, LLMs, multi-modal data processing, Machine Learning, Data Mining, and Information Retrieval. You will also have support from a Senior Company Supervisor.

Candidates should have a degree of Master or PhD in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, Statistics or a related technical field.

Benefits

  • Develop managerial skills and attend two residential managerial workshops (each of one week duration)
  • £4,000 personal training budget
  • The opportunity to lead a project, develop project management skills and improve long term career prospects
  • Mentoring by a Knowledge Transfer Network Adviser
  • Full access to university resources to complete the project
  • Ability to work in a largely self-determined way, across the industry-academic partnership
  • Opportunities to develop both technical understanding and commercial awareness
  • The possibility to study for a higher degree or undertake professional development

The KTP Associate will be an employee of Newcastle University but will spend most of their working time at the company’s premises at 452 Basingstoke Road, Reading, Berkshire, RG2 0QE and when required at Newcastle University.

The KTP Associate will follow P&G\’s working hours and holiday procedure. The Associate’s working week will be 37.5 hours per week. Annual Leave applicable to this role is 25 days holiday plus statutory holidays.

This is a 24-month fixed term role.

For more information or informal enquiries, please contact Dr Huizhi Liang at (Huizhi.Liang@newcastle.ac.uk) or Dr Stephen McGough at (stephen.mcgough@newcastle.ac.uk)

For further details on the Faculty of Science, Agriculture & Engineering please visit our web page at: https://www.ncl.ac.uk/sage/

For further details about Knowledge Transfer Partnerships please visit the web page at: http://www.ktp-uk.org/

Key Tasks

  • Conduct the research and objectives along the lines of the programme of the funded project
  • Develop and deploy an enterprise-level Knowledge Management and Discovery Platform for Product Innovation based on novel Generative AI, Large Language Models, and Human-AI collaboration techniques
  • Undertake personal development activities including on-boarding familiarisation with the company
  • Disseminate and embed the knowledge within P&G to various stakeholders throughout the KTP via reports, presentations, group discussions and workshops
  • Prepare outputs such as publications and case studies of the research from the team to scientific and non-scientific audiences, in written and oral form. And attend conferences

Essential

Knowledge, Skills, and Experience

  • Familiarity with core concepts of Generative AI, LLMs, Knowledge Management and knowledge graphs, and user interface design, and trustworthy and explainable AI
  • Ability to apply and expand knowledge and techniques in NLP, AI, deep learning and predictive modelling, generative models
  • Programming and development skills in Python based Natural Language Processing and multi-modal data processing AI libraries and platforms such as NLTK, Spacy, sk-learn, pytorch, Keras
  • Adaptability and ability to quickly grasp new concepts, technologies.
  • Problem-solving skills to analyse and break complex problems into manageable components when devising innovative solutions using LLM technologies

Desirable

  • Familiarity with graph reasoning and advanced LLM techniques such as Retrieval Augmented Generation (RAG), Reasoning, Multi-agent, Knowledge Distillation

Attributes and Behaviour

  • Personal motivation and drive
  • Excellent organisational and planning skills
  • Thrives in a project environment with the ability to work to tight deadlines
  • The ability to work independently and collaboratively with colleagues
  • The ability to work autonomously and the confidence to lead
  • Good attention to detail
  • Is a natural problem solver
  • Excellent verbal, written and presentation skills

Qualifications

  • Candidates should have a degree of Master or PhD in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, Statistics or a related technical field

To apply, please attach your CV and a cover letter that demonstrates how you meet the essential criteria for the position, as outlined in the Person Specification of the Job Description. Any requested additional documents required as part of your application, should be included within the same file as your cover letter. The total file size must not exceed 10MB

Newcastle University is a global University where everyone is treated with dignity and respect. As a University of Sanctuary, we aim to provide a welcoming place of safety for all, offering opportunities to people fleeing violence and persecution.

We are committed to being a fully inclusive university which actively recruits, supports and retains colleagues from all sectors of society. We value diversity as well as celebrate, support and thrive on the contributions of all of our employees and the communities they represent. We are proud to be an equal opportunities employer and encourage applications from individuals who can complement our existing teams, we believe that success is built on having teams whose backgrounds and experiences reflect the diversity of our university and student population.

At Newcastle University we hold a silver Athena Swan award in recognition of our good employment practices for the advancement of gender equality. We also hold a Race Equality Charter Bronze award in recognition of our work towards tackling race inequality in higher education REC. We are a Disability Confident employer and will offer an interview to disabled applicants who meet the essential criteria for the role as part of the offer and interview scheme.

In addition, we are a member of the Euraxess initiative supporting researchers in Europe.

Requisition ID: 28250

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Specialist in Generative AI and Large Language Models for Product Innovation- KTP Associate employer: Newcastle Research & Innovation Institute in Singapore (NewRIIS)

Newcastle University offers an exceptional work environment for the Specialist in Generative AI and Large Language Models for Product Innovation role, providing a generous salary alongside a substantial training budget to foster professional development. With a strong emphasis on employee wellbeing, a supportive culture, and opportunities for career advancement through mentorship and project leadership, this position not only promises meaningful work but also the chance to contribute to cutting-edge research in a collaborative setting at Procter & Gamble's Reading location.
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Contact Detail:

Newcastle Research & Innovation Institute in Singapore (NewRIIS) Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Specialist in Generative AI and Large Language Models for Product Innovation- KTP Associate

✨Tip Number 1

Familiarise yourself with the latest advancements in Generative AI and Large Language Models. Follow relevant research papers, attend webinars, and engage in online communities to stay updated. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.

✨Tip Number 2

Network with professionals in the AI and product innovation sectors. Attend industry conferences or local meetups where you can connect with experts and potential colleagues. Building these relationships can provide valuable insights and may even lead to referrals for the position.

✨Tip Number 3

Prepare to discuss specific projects or experiences where you've applied AI techniques, particularly in Knowledge Management or product innovation. Be ready to explain your problem-solving approach and how you collaborated with others to achieve results, as this role emphasises teamwork and innovation.

✨Tip Number 4

Research Procter & Gamble's current initiatives and challenges in product innovation. Understanding their business model and how they utilise AI can help you tailor your discussions during interviews, showing that you're not just a fit for the role but also aligned with their goals.

We think you need these skills to ace Specialist in Generative AI and Large Language Models for Product Innovation- KTP Associate

Expertise in Generative AI and Large Language Models
Knowledge Management and Knowledge Graphs
Natural Language Processing (NLP)
Deep Learning Techniques
Predictive Modelling
Programming Skills in Python
Experience with AI Libraries (e.g., NLTK, Spacy, PyTorch, Keras)
Multi-modal Data Processing
Problem-Solving Skills
Ability to Work Independently and Collaboratively
Excellent Verbal and Written Communication Skills
Organisational and Planning Skills
Attention to Detail
Adaptability to New Technologies
Experience in Project Management

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience and skills related to Generative AI, Large Language Models, and Knowledge Management. Use specific examples from your past work or studies that demonstrate your expertise in these areas.

Craft a Compelling Cover Letter: In your cover letter, clearly articulate how your background aligns with the job requirements. Mention your degree in a relevant field and any specific projects or experiences that showcase your ability to lead innovative product development using AI technologies.

Highlight Key Skills: Emphasise your programming skills, particularly in Python and any libraries related to Natural Language Processing. Discuss your familiarity with concepts like graph reasoning and advanced LLM techniques, as these are crucial for the role.

Follow Application Instructions: Ensure you include all requested documents in your application file, such as your CV and cover letter, and keep the total file size under 10MB. Double-check that you've addressed all essential criteria mentioned in the job description.

How to prepare for a job interview at Newcastle Research & Innovation Institute in Singapore (NewRIIS)

✨Showcase Your Technical Skills

Make sure to highlight your expertise in Generative AI, Large Language Models, and Natural Language Processing during the interview. Be prepared to discuss specific projects or experiences where you've applied these technologies, as this will demonstrate your capability to contribute effectively to the role.

✨Understand the Company’s Goals

Research Procter & Gamble and Newcastle University to understand their objectives, especially regarding product innovation and knowledge management. This knowledge will allow you to tailor your responses and show how your skills align with their mission.

✨Prepare for Problem-Solving Questions

Expect questions that assess your problem-solving abilities, particularly in breaking down complex issues related to AI and data processing. Practice articulating your thought process clearly, as this will showcase your analytical skills and adaptability.

✨Demonstrate Collaboration Skills

Since the role involves working with an interdisciplinary team, be ready to discuss your experience in collaborative environments. Share examples of how you've successfully worked with others to achieve common goals, highlighting your ability to communicate effectively and lead when necessary.

Specialist in Generative AI and Large Language Models for Product Innovation- KTP Associate
Newcastle Research & Innovation Institute in Singapore (NewRIIS)

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