Computer Science Graduate (KTP Associate)

Ulster University
Belfast
6 months ago
Applications closed

Related Jobs

View all jobs

Graduate / Junior Application Support Developer

Graduate AI & Machine Learning Engineer...

Data Analyst Intern

Machine Learning Consultant - Experienced

Computer Science Teacher

Computer Vision Engineer - (Remote - UK, Ireland and Hungary)

Job Title: Computer Science Graduate (KTP Associate) Ulster University and Inspire Wellbeing School: School of Computing Location: Inspire Wellbeing,10-20 Lombard Street, Belfast, BT1 1RD Salary: £35,000 per annum Closing Date: 5 November 2024 Full time, Fixed-term two-year post Reference Number: 31644 - THE BUSINESS - Inspire Wellbeing is an innovative social enterprise that works with employers and institutions of further and higher education to provide access to quality wellbeing support and counselling services, promoting early intervention, treatment and mental wellbeing awareness. Our employee assistance programme provides: - a year round 24-hour confidential telephone support line, providing support from qualified experienced counsellors - face to face counselling services in supportive, comfortable locations across the island of Ireland - telephone and online counselling sessions - access to digital information and tools to protect and promote mental health - financial, legal and other specialist information to help employees cope with lifes challenges - personalised support and guidance for people returning to work after sickness, planning their retirement or making challenging management decisions - THE ROLE - Inspire Wellbeing in partnership with Ulster University, has established a 2-year Knowledge Transfer Partnership (KTP) Project and is offering an exciting opportunity for an ambitious and highly motivated Computer Science graduate to work as a KTP Associate to oversee the development of a new digital product that will provide data driven useful and actionable insights and provide key business intelligence to improve mental health and wellbeing services. - KTP PROJECT DESCRIPTION - The KTP will focus on developing the digital product to be a user-friendly platform for exploring and visualising datasets to facilitate the discovery of important knowledge and insight into, for example, services and business processes. The product will allow domain experts (and non technical users) to discover business intelligence and other insights to inform services and facilitate continuous quality improvement. The project involves utilising skills in project management, software design, computer programming, databases as well as the application of data science and machine learning methods/techniques. - BENEFITS - This KTP project provides a unique opportunity to apply your knowledge and skills to a real industry challenge whilst benefitting from industrial and academic supervision and mentoring from Ulster Universitys experts Professor Raymond Bond, Dr Zeeshan Tariq, Professor Kristel Miller, Dr Edel Ennis and Professor Maurice Mulvenna, who will enhance your technical expertise in data science, artificial intelligence/machine learning, business intelligence, business innovation, user experience design and mental health and wellbeing. As a KTP Associate you will also acquire new skills in strategic leadership that can help to super-charge your career. Additional benefits include: - Generous £11k Training, Development, equipment & Travel Budget dedicated to project delivery, which include but not limited to training and courses to enhance research skills as well as for critical networking with key players in the field, specific project equipment etc. - FREE formal management training and development - FREE University postgraduate study opportunity including 2 years of part time PhD study if appropriate - 10% Associate development time built into work plan - Opportunity to work with academics to develop scientific articles to be published in peer-reviewed, world-class academic journals or conference proceedings - Competitive salary - Enhanced skills and experience that are marketable and highly transferable - KTPs accelerate careers - ABOUT YOU - Applicants should hold an upper second class honours degree in computer science, statistics or a closely related subject. The Associate should have good skills and experience the following areas: - Software programming / development - Design/development and use of databases/data models - Data science and data visualisation - Machine learning/artificial intelligence - Statistics - Project management and communication - Further information can be found in the Candidate Briefing Document The appointment will be for a period of two years and although the post is administratively linked to the University, the Associate will be based at the Companys premises in Inspire Wellbeing,10-20 Lombard Street, Belfast, BT1 1RD. Successful completion of the KTP may lead to a new position within the company partner at the end of the project period. Both Inspire Wellbeing and Ulster University are Equal Opportunities employers. The University is an equal opportunities employer and welcomes applicants from all sections of the community, particularly from those with disabilities. Appointment will be made on merit.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.