Working Life

AI Research Scientists explore new ways to make artificial intelligence smarter, faster, and more useful. They design and test new AI algorithms, analyse data, build prototypes, and evaluate how well AI systems perform.

They work with software engineers, researchers, and other specialists to develop AI technologies for real-world applications while ensuring they are safe, fair, and responsible.

Top 3 Tasks

• Research and develop new AI algorithms and technologies.
• Test and improve AI models using data and experiments.
• Collaborate with research teams to solve complex problems and develop innovative AI solutions.

Role Tasks

• Research & Innovation: Explore new ideas, algorithms, and technologies to advance AI.
• AI Development: Design, build, and improve AI models and machine learning systems.
• Testing & Analysis: Evaluate AI performance, analyse results, and refine algorithms.
• Programming & Prototyping: Develop and test software prototypes to demonstrate new AI solutions.
• Collaboration: Work with researchers, engineers, and industry partners on AI projects.
• Ethics & Responsible AI: Ensure AI systems are fair, transparent, secure, and used responsibly.

Collaboration

AI Research Scientists work with software engineers, data scientists, machine learning engineers, researchers, and industry specialists to develop, test, and improve artificial intelligence systems. They often collaborate with academic institutions and technology companies to explore new AI methods and applications.

Working Environments

AI Research Scientists work across many industries, including technology, healthcare, finance, manufacturing, education, energy, and the public sector.

They may work in universities, research centres, technology companies, or innovation teams within organisations. Many roles involve office-based, hybrid, or laboratory environments, and require continuous learning as AI technologies and research methods continue to advance.

Areas where AI researchers may specialise include:

• Information Technology
• Banking & Finance
• Healthcare
• Media, Film, TV, and Animation
• Engineering, Manufacturing & Energy
• Education and Teaching 
• Biological, Chemical & Pharmaceutical Science
• Biomedical Technologies & Medtech

Search Career Sector to learn about AI across all career sectors.

This occupation is typically suited for people with the following Career Interests:

 Investigative

The Investigative person will usually find a particular area of science to be of interest. They are inclined toward intellectual and analytical activities and enjoy observation and theory. They may prefer thought to action, and enjoy the challenge of solving problems with sophiscticated technology. These types prefer mentally stimulating environments and often pay close attention to developments in their chosen field.

 Administrative

Administrative people are interested in work that offers security and a sense of being part of a larger process. They may be at their most productive under supervisors who give clear guidelines and while performing routine tasks in a methodical and reliable way.

They tend to enjoy clerical and most forms of office work, where they perform essential administrative duties. They often form the backbone of large and small organisations alike. They may enjoy being in charge of office filing systems, and using computers and other office equipment to keep things running smoothly. They usually like routine work hours and prefer comfortable indoor workplaces.

 Realist

Realists are usually interested in 'things' - such as buildings, mechanics, equipment, tools, electronics etc. Their primary focus is dealing with these - as in building, fixing, operating or designing them. Involvement in these areas leads to high manual skills, or a fine aptitude for practical design - as found in the various forms of engineering.

Realists like to find practical solutions to problems using tools, technology and skilled work. Realists usually prefer to be active in their work environment, often do most of their work alone, and enjoy taking decisive action with a minimum amount of discussion and paperwork.

Most AI Research Scientist roles require a postgraduate qualification (Master's or PhD) in Artificial Intelligence, Computer Science, Machine Learning, Mathematics, or a related field.

Whatever degree you choose, your courses must cover topics like:

• Programming and Software Development - learning coding languages and building software solutions.
• Mathematics and Statistics - understanding the principles behind AI models, algorithms, and data analysis.
• Machine Learning and Artificial Intelligence - developing systems that can learn from data and make predictions or decisions.
• Data Science and Data Analysis - collecting, processing, and interpreting large datasets.
• Algorithms and Computer Systems - designing efficient methods for solving complex problems.
• Research Methods and Ethics - developing responsible AI solutions and understanding the impact of emerging technologies.

Education and Training Entry Routes:

A number of courses are available throughout the country that focus on learning and skills that are useful for this career. The examples and links below may guide you in your research. 

Further Education and Training (FET)

Further Education & Training (FET) Courses are delivered by local ETBs, ranging in duration from several weeks up to 20 months. Courses are designed to meet the labour market needs and often include a large element of work experience.

Programmes offered through Education and Training Boards (ETBs) and supported by SOLAS can provide entry routes into technology careers, including areas such as software development, data analytics, and AI skills.

SOLAS supports AI-focused micro-qualifications through the Skills to Advance initiative.

SOLAS-funded AI courses are offered through eCollege     skills online.

Example search terms include: AI, Computer Science, Emerging Digital Technologies, Data Science.

Search for FET Courses

PLC Courses (FET)
PLC courses are full-time courses, one or two years duration, with awards at Level 5 and 6 on the NFQ. They are offered nationally in Schools and Colleges of Further Education.

Example courses:

• AI and Machine Learning Foundations (Level 5) – Dublin College Dundrum
• Computer Software Development with AI (Level 5) – Bray Institute of Further Education

Example search terms include: AI, Computer Science, Emerging Digital Technologies, Data Science.

Search for PLC Courses

Higher Education CAO (Undergraduate) 

Higher Education courses at Levels 6 to 8 on the NFQ, delivered in Universities and Technological Universities & Institutes. Courses run from 2 – 5 years and places are allocated on a points-based system, processed by the Central Application Office.

Search for degrees in areas such as computer science, artificial intelligence, data science, software engineering, and machine learning.

 Example Courses 

• BSc Data Science and Artificial Intelligence – Technological University Dublin (TU Dublin) 
• BSc Data Science and Artificial Intelligence – Dublin City University (DCU) 
• BSc Artificial Intelligence and Machine Learning - University of Limerick (UL)
• BSc Data Science and Artificial Intelligence – University College Cork (UCC) 
• BSc Computing with AI – Technological University of the Shannon (TUS Midwest)
• BSc Computing and Artificial Intelligence Atlantic Technological University (ATU Donegal)

Note: For research-focused AI roles, a Master's degree or PhD is often preferred, especially in areas such as machine learning, robotics, natural language processing, and computer vision.

Example search terms include: AI, Computer Science, Emerging Digital Technologies, Data Science.

Search for CAO Courses 

Higher Education (Postgraduate)
Postgraduate courses are courses at Levels 9 and 10 on the NFQ and usually last 1 – 2 years full time, or longer if a PhD or part time. Entrants typically require an undergraduate award (Level 8).

Examples:

• MSc Artificial Intelligence – Dublin Business School
  
• MSc Computer Science (Artificial Intelligence specialisation) - University College Cork (UCC)
• MSc Data Science and Analytics - University College Dublin (UCD)
• MSc Intelligent Systems - University of Galway
• MSc Artificial Intelligence - University of Limerick (UL)
• MSc Advanced Artificial Intelligence - University College Dublin (UCD)
• MSc Data & Computational Science – University College Dublin (UCD)
• MSc Computing - Data Science – ATU Sligo
• P.Grad.Dip Applied Social Data Science – Trinity College Dublin
• MSc Applied Data Science and Analytics – TU Dublin (TUD)
• National MSc in Artificial Intelligence
  Taking place primarily online via University of Limerick, students on the National Masters in Artificial Intelligence follow a pathway in Modern Machine Learning, NLP or Computer Vision.
• MSc in Computer Science (Artificial Intelligence) via University of Galway (UG)
  This is a distinctive 2-year online masters, taught by an internationally renowned, interdisciplinary team of experts in the field of AI and researchers at the Insight Centre for Data Analytics at University of Galway. 
  
  
• PhD in Computer Science / Artificial Intelligence - available at universities including TCD, UCD, DCU, UCC, UL, and University of Galway

Example search terms include: AI, AI Research, Computer Science, Emerging Digital Technologies, Data Science.

Search for Postgraduate Courses

Springboard+ courses:
Government-supported courses that allow eligible learners to upskill or change careers in areas such as computing, data analytics, and artificial intelligence. 

The Irish government funds many free and low-cost part-time programs, such as the Certificate in AI and Machine Learning Engineering at South East Technological University.

ICT Skills development courses are also available via Springboard    , at NFQ level 6-9 

Search Springboard Courses  

Technology Ireland ICT Skillnet 

• Certificate in Foundations of Artificial Intelligence
  This course has been designed as an introduction to the Foundations of Artificial Intelligence (AI). It is most suitable for those with an interest in, and aptitude for, transitioning into the AI disciplines but who do not necessarily have a background in AI.

• National MSc in Artificial Intelligence (primarily online via University of Limerick)
  Students on the National Masters in Artificial Intelligence follow a pathway in Modern Machine Learning, NLP or Computer Vision.

Search Technology Ireland ICT Skillnet    

Computer science and engineering degrees:
Many machine learning engineers begin with a degree in computer science, software engineering, mathematics, statistics, physics, or a related subject before specialising in AI.

Postgraduate conversion courses:
Graduates from other fields can move into AI through higher diplomas or masters programmes focused on computing, data analytics, or artificial intelligence.

• University of Limerick: Offers an MSc in Artificial Intelligence and Machine Learning, teaching neural networks and data mining.
• University College Cork: Features an MSc in Mathematical Modelling and Machine Learning, focusing on the math behind algorithms.
• National College of Ireland: Runs an MSc in Artificial Intelligence to teach the complete lifecycle of AI software.

Industry certifications and online learning:
Professional certifications in cloud computing, data science, programming, and AI tools can strengthen job applications when combined with practical projects.

Work experience and projects: Building a portfolio of machine learning projects, contributing to open-source work, completing internships, or gaining experience in software development and data analysis can help develop the skills employers look for.

Apprenticeships: 
Apprenticeships are structured work-based training programs that combine on-the-job training with classroom instruction. They run from 2 – 4 years and are open to individuals of all ages, including school leavers, those seeking a career change, and existing employees who wish to upskill. 

For example, the Software Development Associate is a two-year apprenticeship. This “learning by doing” format of ICT skills development has been endorsed by the industry and government. Apprentices become competent tech enthusiasts and attain an NFQ Level 6 Advanced Certificate in Computer Programming.

Apprenticeship Examples:

• Software Development Associate
• Software Solutions Architect
• Software Testing Associate 

Search for Apprenticeships

Professional Development 

Professional development (CPD) courses are specialised training, formal education, or advanced professional learning that improves skills, professional knowledge, competency, and overall effectiveness in the professional world.

Check the Useful Contacts tab on this page to see if there are any professional bodies listed who may provide training related to this career. 

Career Pathways

A career as an AI Research Scientist usually begins with a strong foundation in computer science, mathematics, engineering, data science, or a related field. Most research roles require postgraduate study, particularly for positions involving the development of new AI methods and technologies.

Start Your Journey
Roles: Software Developer, Data Analyst, Research Assistant, Machine Learning Engineer
Time: 0-3 years
Qualifications: Relevant undergraduate degree in computer science, artificial intelligence, data science, mathematics, statistics, or engineering. Build skills in programming (such as Python), algorithms, data analysis, and machine learning.

Develop Your Expertise
Roles: AI Engineer, Machine Learning Specialist, AI Researcher
Time: 3-8 years
Qualifications: Master's degree in artificial intelligence, machine learning, data science, or a related area. Develop expertise in areas such as deep learning, natural language processing, computer vision, or robotics. Gain experience through research projects, internships, or industry roles.

Advance to Senior Roles
Roles: Senior AI Research Scientist, AI Research Lead, Principal Scientist, AI Programme Manager
Time: 8+ years
Qualifications: PhD or significant research experience, strong technical expertise, experience publishing research, and the ability to lead AI development projects and research teams.

This timeline is illustrative; career progression varies depending on qualifications, experience, and opportunities. 

Salary Range (thousands per year)* €46k - €110k

Salaries vary based on employer, location, experience, duties, and role.

Data Source(s):
Glassdoor.ie/Indeed.ie/ Payscale/ IUA/Salary Expert

Last Updated: July, 2026

• Centre for Applied Data Analytics Research (CeADAR)

  • CeADAR University College Dublin NexusUCD Belfield Office Park, Unit 9, Clonskeagh, Dublin 4
  • (01) 716 5713
  • melina.ziegel@ucd (CeADAR Project Manager)
  • Click Here

• Research Ireland – Taighde Éireann

  • Three Park Place, Hatch Street Upper, Dublin 2, Ireland D02 FX65
  • 353 1 607 3200
  • [email protected]
  • Click Here