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

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

  • Tasks: Lead the development of an innovative Knowledge Management platform using Generative AI and Large Language Models.
  • Company: Join Procter & Gamble, a global leader in consumer products, partnered with Newcastle University.
  • Benefits: Enjoy a competitive salary, generous holiday, training budget, and flexible working options.
  • Other info: Work primarily at P&G's Reading office with opportunities for personal and professional development.
  • Why this job: Be at the forefront of AI innovation while enhancing your skills and career prospects.
  • Qualifications: Master's or PhD in Computer Science, AI, Machine Learning, or related fields required.

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

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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

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.

  • 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.

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

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
  • 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
  • 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 silverAthena 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.

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Specialist in Generative AI and Large Language Models for Product Innovation- KTP Associate employer: Newcastle University

Newcastle University, in partnership with Procter & Gamble, offers a dynamic work environment that fosters innovation and professional growth. With a generous benefits package, including a substantial training budget and opportunities for personal development, employees are encouraged to thrive in a collaborative culture that values diversity and inclusivity. Located in the vibrant city of Newcastle, this role provides a unique chance to lead cutting-edge projects in Generative AI while enjoying a supportive academic and corporate partnership.
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Contact Detail:

Newcastle University 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 blogs, attend webinars, and engage with online communities to stay updated on trends and technologies that are shaping the field.

✨Tip Number 2

Network with professionals in the AI and machine learning sectors. Attend industry conferences or local meetups to connect with potential colleagues and mentors who can provide insights into the role and the company culture at Procter & Gamble.

✨Tip Number 3

Prepare to discuss your problem-solving skills and how you've tackled complex projects in the past. Be ready to share specific examples of how you've applied AI techniques to real-world problems, as this will demonstrate your practical experience.

✨Tip Number 4

Showcase your ability to work both independently and collaboratively. Think of instances where you led a project or worked as part of a team, and be prepared to discuss how you managed different dynamics and contributed to successful outcomes.

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

Generative AI
Large Language Models (LLMs)
Natural Language Processing (NLP)
Knowledge Management
Machine Learning
Deep Learning
Predictive Modelling
Python Programming
Data Mining
Information Retrieval
Graph Reasoning
User Interface Design
Explainable AI
Problem-Solving Skills
Adaptability
Project Management
Excellent Verbal and Written Communication
Presentation Skills
Team Collaboration
Autonomous Working

Some tips for your application 🫡

Tailor Your Cover Letter: Make sure your cover letter specifically addresses the essential criteria outlined in the job description. Highlight your relevant experience with Generative AI, Large Language Models, and any projects that demonstrate your problem-solving skills.

Showcase Relevant Skills: In your CV, emphasise your programming and development skills, particularly in Python and Natural Language Processing. Include any experience with AI libraries like NLTK or PyTorch, as these are crucial for the role.

Demonstrate Project Management Experience: Since this role involves leading a project, include examples of past projects where you demonstrated leadership and project management skills. This could be through academic work, internships, or previous jobs.

Proofread and Format: Before submitting your application, proofread your documents for any spelling or grammatical errors. Ensure your CV and cover letter are well-formatted and easy to read, as this reflects your attention to detail.

How to prepare for a job interview at Newcastle University

✨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 Vision

Research Procter & Gamble and Newcastle University to understand their goals and how they integrate AI into product innovation. This knowledge will allow you to tailor your responses and show that you're genuinely interested in contributing to their mission.

✨Prepare for Problem-Solving Questions

Expect to face questions that assess your problem-solving skills, especially related to complex AI challenges. Practice breaking down problems into manageable components and think aloud during the interview to showcase your analytical thinking process.

✨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 project goals, highlighting your ability to lead and support team efforts.

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