AI Machine Learning Intern

About our group:

We are a team of IT (Information Technologies) professionals from Seagate. We are responsible for creating and implementing data-driven solutions to support business decisions and operations across several locations in the US, Southeast Asia, India, China, the United Kingdom. The use of AI and ML allows for real-time data analysis and decision making, predictive maintenance, and the optimization of production processes. We collaborate with the business teams to harness the full potential of Industry 4.0 - Real-time control, IoT, Big Data and Analytics, Automation and Artificial Intelligence to support “Smart Factory” initiative, to make better decision and maximize operational excellence.  The team has won industry awards due to its innovation, best in class systems, and value delivery.

To ensure that all new Interns can benefit as effectively as possible during their time here, we offer an 11 month development opportunity called Campus to Corporate Training Program.

This Program is in place to prepare and support you by equipping you with the skills, knowledge and tools that assist you to succeed. 

This can be anything from Workshops on: Learning: Gain valuable industry and corporate knowledge. Grow: Expand your professional skills, discover your strengths and explore your future career opportunities. Connect: Foster valuable relationships with peers and industry professionals for your career growth.

About the role - you will:

We have an exciting opportunity for a Machine Learning Intern wishing to take on an 11-month placement to join our IT team in Springtown Northern Ireland. Commencing on 31st August 2026 until 20th August 2027.

•    Develop machine learning algorithms to automate factory processes
•    Undertaking data collection, preprocessing of structured and unstructured data and analysis
•    Analyze large amounts of information to discover trends and patterns
•    Build predictive models and machine-learning algorithms
•    Design, develop, and implement AI agents to automate complex tasks and enhance factory intelligence
•    Presenting information using data visualization techniques

About you:

•    Familiar and well versed in Computer Science, Information Systems, Software Development, Data Science or a related discipline
•    Flexible and adaptive in learning new technologies and languages
•    Passionate about big data, statistics, data management, data processing, data testing, data governance or analysis
•    Ability to communicate and work cross-functionality
•    Ability to effectively communicate technical concepts

Your experience includes:

•    Currently pursuing a Bachelor’s degree in data science, mathematics, computer science, Software development, or related field.
•    Proficient in Python, including experience with pandas, sklearn, matplotlib, numpy, and Jupyter notebooks.
•    Familiar with SQL, web technologies, Javascript, .NET, Hadoop, and R/Shiny.
•    Experience with microservices architecture, Docker, and Kubernetes is desirable 
•    Experience in image processing, OpenCV, TensorFlow would be advantageous. 
•    Experience with Generative AI frameworks and tools (such as Llama, LLMs, RAG)
•    Experience with classification and tree-based algorithms, among other supervised and unsupervised methodologies. Knowledge of regression, clustering or neural networks is advantageous.
•    Interest in machine learning with experience with Kaggle competitions, personal projects, or coursework

Completed applications should be submitted no later than midnight on 5th January 2026.

This is a Full-Time position working 39 hours per week, on-site working. The placement dates are: Starting on Monday, 31st August 2026 and finishing Friday, 20th August 2027

*Please note that you must be eligible to live and work in the UK. without the requirement to be sponsored by Seagate. This role does not meet the criteria set by the Home Office for sponsorship on a Skilled Worker Visa as such sponsorship of this visa cannot be offered.

Please demonstrate on your Cover Letter or CV how you meet the criteria set out in the job description identified above. 

At Seagate we are committed to building a diverse, inclusive, and authentic workplace. To see all vacancies that Seagate has available, please sign up - Register your interest in career updates with our Talent Network and to be considered for future opportunities.

Seagate Technology is committed to equal opportunity in employment and welcomes applications from all sections of the community irrespective of sex, marital status, religious affiliation, age, disability or ethnic origin. The Company specifically welcomes applications from the protestant community who are currently underrepresented in this job category. All applications will be considered strictly on the basis of merit.

Location:

Derry / Londonderry, Northern Ireland

Our Springtown site is Derry/Londonderry’s largest manufacturer, we’re proud that Seagate is a flexible and inclusive place to work. We have more than 1,400 employees spanning research and development, manufacturing, and many other functions.

Here at work, you can grab breakfast, lunch, dinner and snacks at our subsidized on-site cafe. 

Looking for an active break from your workday? We’ve got you covered. Take a group or individual exercise class during lunch or after work at our on-site gym. 

Network with your colleagues through the Young Professionals Network, Women’s Leadership Group, the Carers Café (for caregivers of individuals with disabilities), Volunteer in the community with our support! Join our creative network, which includes a choir, foreign language classes and even a cookery class! 

Join our Employee Resource Groups (ERG), a voluntary, employee-led community built on a shared diversity identity and/or an appreciation of that identity, open to ALL current employees at Seagate! 

See list below of our Springtown Company Benefits for Interns:

•    Health – Statutory sick pay and medical leave, Occupational healthcare service, Employee assistance programmes, and On-site gym/ exercise classes / personal trainer.
•    Work Life Balance – Annual Leave & Bank Holidays,
•    Finance – Pension – employer contributory scheme, Employee stock purchase plan, Competitive base pay, Pay for civil / jury duty, bereavement leave.
•    Career – Training and development opportunities, Learning & development programmes including Campus to Corporate.

Location: Springtown, United Kingdom
Travel: None