National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data/Artificial Intelligence Engineer (KTP Associate)

Glasgow Caledonian University
Glasgow
5 days ago
Create job alert

Advert

TheData/AI Engineer(KTP Associate) will be an employee of Glasgow Caledonian University but will be based at Scottish Action for Mental Health (SAMH)with regular supervision meetings with the University’s supervisory team

This is a full time/fixed term opportunity for 24 months


Interviews for this role will take place on 24 July


An additional £4, training and development budget is available for this opportunity


The Role


The purpose of this role is to design, develop, and implement an AI-driven triaging system that enhances referral processes and provides personalised outcomes and support within Scotland’s national mental health charity, Scottish Action for Mental Health (SAMH). The project will leverage large language models (LLMs), natural language processing (NLP), and machine learning techniques to improve the efficiency and accuracy of mental health service referrals. By embedding AI expertise within SAMH, this project will contribute to enhancing accessibility to mental health support while ensuring ethical AI deployment in line with best practices in transparency and bias mitigation.


The successful candidate will play a key role in leading the technical development, implementation, and evaluation of the AI system. They will be responsible for coordinating the day-to-day delivery of the project in collaboration with SAMH, Glasgow Caledonian University, and a Psychology Associate, who will provide clinical insights and user requirements. The postholder will ensure that the system meets operational, ethical, and governance standards while working closely with stakeholders to refine AI recommendations and user interactions. They will also oversee data management, model performance evaluation, and system deployment, ensuring the solution is robust, interpretable, and aligned with SAMH’s needs.


The postholder will be based at SAMH, working closely with mental health professionals, service users, and AI experts to develop a practical and user-friendly AI-driven solution that will aim to transform the current state of mental health access in Scotland. They will also benefit from academic support and supervision from Glasgow Caledonian University, providing access to a strong research environment in AI, data science, and ethical AI practices. This role offers the opportunity to engage in knowledge transfer, industry collaboration, and ongoing professional development, with funding available for training and conference participation.


We are seeking an AI or Data Engineer with a postgraduate qualification in a relevant discipline, such as Artificial Intelligence, Machine Learning, Data Science, or Computer Science. The successful candidate will have strong programming skills in Python (or similar) and practical experience with machine learning frameworks, along with a solid understanding of data science techniques such as data preprocessing, feature engineering, and evaluation metrics including precision, recall, F1-score, and ROC-AUC. They will have hands-on experience in designing, fine-tuning, and deploying large language models (LLMs) such as Llama 2, including the integration of Retrieval-Augmented Generation (RAG) for AI chatbot applications. Excellent written communication skills are essential, including the ability to produce concise, accessible materials for non-technical audiences.


We would particularly welcome applicants with industry experience in developing intelligent systems that support decision-making using supervised and unsupervised learning, and with a clear understanding of ethical AI principles, including fairness, transparency, and bias mitigation. 

Additional desirable experience includes managing data pipelines that involve data ingestion, transformation, integration, and cloud-based storage; deploying AI systems using cloud platforms (e.g., AWS, Azure, GCP), containerisation (Docker), API endpoints, and model inference optimisation; and working within the health, social care, or third sectors (D5), particularly in collaboration with senior leadership or communities to co-design solutions aligned with organisational needs.


This is an exciting opportunity to apply cutting-edge AI research to a real-world mental health setting, working directly with service providers to improve access to and efficiency of mental health referrals and an individual’s care pathway. The role offers the chance to have an impact on addressing Scotland’s worsening mental health crisis while developing industry-relevant expertise in applied AI, ethical AI governance, digital health and interdisciplinary collaboration.


The role will be best suited to applicants who have strong self-management skills and enjoy the autonomy creative freedom that such a role would bring.


Scottish Action for Mental Health (SAMH)


Around since , Scottish Action for Mental Health (SAMH) is Scotland's national mental health charity. We operate over 70 services that inform our policy and campaign work to influence positive social change. Our vision is to address the rising demand for mental health support and reduce the strain on existing health systems, by providing innovative solutions to re-think pathways for the public to gain immediate, targeted access to mental health support. Our main area of focus is to develop a digital mental health system and AI triage tool to enhance the effectiveness of SAMH's place-based and online mental health services, whilst deploying innovative data analysis techniques to understand the needs of the nation.


You will have the opportunity to join an agile, creative and ambitious organisation who is placing innovation at the heart of its new strategy. Although based in Glasgow city centre, you will have the ability to engage with our services across Scotland as well as our external partners including Scottish Government, NHS, Health and Social Care Partnerships, Innovation Centres and other private and third sector partners.


There is a possibility that SAMH may recruit the Associate at the end of the project.


Knowledge Transfer Partnership


This project is part of the Knowledge Transfer Partnership (KTP) programme that aims to help businesses to improve their competitiveness and productivity through the better use of knowledge, technology and skills that reside within the UK knowledge base. Successful Knowledge Transfer Partnership projects are funded by UK Research and Innovation through Innovate UK and are part of the government’s Industrial Strategy. KTP Associates spend around 10% of their time in training and development and are offered the opportunity to gain a Diploma in Management. You will be employed by the University, but your role will be based at the company. Many KTP Associates are offered a permanent role with their company at the end of the KTP project. To find out how KTP works and the vital role you will play if you successfully secure a KTP Associate position. Please visit: .

Glasgow Caledonian University is committed to a fair and transparent recruitment process that is free from bias so that we can attract and retain a high performing workforce which makes a critical contribution to our success​.


The University holds the prestigious Athena SWAN Silver institution award, which recognises our significant record of activity and achievement in promoting gender equality across different disciplines.


The School of Computing, Engineering and Built Environment is committed to promoting equality, diversity and inclusion, and is one of only two such Schools in Scotland to hold the prestigious Athena SWAN Silver Award for promoting gender equality and women’s careers in STEMM subjects (science, technology, engineering, mathematics and medicine) and allied STEMM subjects (surveying, environment and management of all themes) in higher education.


As a Disability Confident 'Committed' employer, we are striving to ensure that our recruitment process is inclusive and accessible to disabled people. Although the Disability Confident 'Committed' level does not guarantee an interview for disabled applicants, we will make reasonable adjustments for disabled applicants during the recruitment process.


The University also holds the Carer Positive ‘Engaged’ employer award, which recognises our commitment to supporting staff with caring responsibilities.


Glasgow Caledonian University are committed signatories to the

Related Jobs

View all jobs

Artificial Intelligence Engineer - Agentic bioimage data platform

Senior Artificial Intelligence Engineer

Senior Artificial Intelligence Engineer

Senior Artificial Intelligence Engineer

Artificial Intelligence Engineer

Senior Artificial Intelligence Engineer

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.