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(ML Engineer, AI Engineer, Applied Machine Learning Engineer, Machine Learning Software Engineer)
IT & Data
Salary
€65,000 - €130,000/yr
Level
Senior
Outlook
Growing
Sector
IT & Data
As a Machine Learning Engineer you design, build, and deploy machine learning models that power real-world applications such as recommendation systems, fraud detection tools, and natural language processing pipelines. You translate the experimental work of data scientists into robust, scalable production systems, managing the full MLOps lifecycle from data ingestion and model training through to monitoring and retraining in live environments. Day to day you collaborate closely with data scientists, software engineers, product managers, and DevOps teams to ensure models perform reliably at scale. You write clean, efficient code, maintain CI/CD pipelines for model deployment, and investigate performance degradation or data drift issues as they arise. Much of your work takes place in multinational technology companies, financial services firms, and dedicated AI research centres based primarily in Dublin, Cork, Limerick, and Galway.
Listen: a day as a Machine Learning Engineer
You arrive at your company's Dublin 2 office at 8:45 on a Tuesday morning, grab a coffee, and open your laptop to check the model monitoring dashboards you left running overnight. One of the fraud detection models has flagged a slight drift in its input data distribution — the statistical pattern of incoming transactions has shifted enough to warrant attention. You make a note to investigate before stand-up. At 9:15 the engineering team gathers on a video call for your fifteen-minute stand-up. You work in a squad with two data scientists, three software engineers, and a product manager. You mention the drift alert and the data scientist agrees to pull a fresh sample of labelled transactions so you can assess whether the model needs retraining. Tasks are logged in Jira and everyone moves on.
Most Machine Learning Engineers in Ireland hold at least an NFQ Level 9 Masters degree, typically in Computer Science, Artificial Intelligence, Data Science, or a closely related discipline from institutions such as UCD, TCD, University of Galway, DCU, UCC, or UL. A strong Level 8 Honours Bachelor degree in Computer Science, Mathematics, Statistics, or Software Engineering is often the foundation, with a Masters or significant industry experience required for professional-level roles. Leaving Certificate subjects that provide an excellent grounding include Mathematics at Higher Level, Physics, and Applied Mathematics, alongside Computer Science where available. Some practitioners enter through Springboard+ funded postgraduate conversion programmes in AI and data science, which are offered by several technological universities and colleges each year. There is no statutory professional registration body specifically for machine learning engineering in Ireland, though membership of professional bodies such as Engineers Ireland or the Irish Computer Society is valued by employers. A PhD (NFQ Level 10) is an advantage for research-focused or highly specialised roles within dedicated AI laboratories.
Most Machine Learning Engineers begin their careers after completing a relevant postgraduate qualification, often entering at a mid-to-senior level given the depth of knowledge required, sometimes following a data analyst or software engineering role where they developed an ML specialism. With a few years of experience productionising models and leading MLOps initiatives, you can progress to a Senior Machine Learning Engineer role with responsibility for architectural decisions and mentoring junior colleagues. From there, paths diverge towards a Staff or Principal Engineer track focused on deep technical leadership, a move into Machine Learning Research, or a management route towards roles such as ML Engineering Manager or Head of AI. Ireland's large concentration of multinational technology companies and a growing number of indigenous AI startups provide strong progression opportunities without needing to relocate abroad.
Artificial intelligence tools are transforming the day-to-day workflow of Machine Learning Engineers, with automated machine learning (AutoML) platforms and large language model-powered coding assistants accelerating model prototyping and code generation tasks. This shifts the focus of the role towards higher-level system design, evaluation of model behaviour, and responsible AI governance rather than manual implementation of standard algorithms. Engineers are increasingly expected to work with foundation models and fine-tuning pipelines, adapting pre-trained large models to specific business domains rather than training from scratch. Overall, AI is augmenting rather than replacing this role, making deep expertise in model evaluation, MLOps, and production reliability more valuable than ever.
→ Machine Learning Engineer (Current role)
Organisations in Ireland that employ people in this occupation.
Dublin, Co. Dublin
Build and deploy ML models powering Search, Ads, and cloud products.
Dublin, Co. Dublin
Develop ML systems for content ranking, integrity, and recommendation engines.
Dublin, Co. Dublin
Build fraud detection and risk ML models for global payments infrastructure.
Dublin, Co. Dublin
Deliver enterprise MLOps pipelines and AI solutions for clients across sectors.
Dublin, Co. Dublin
Research and productionise ML models in NLP, vision, and network optimisation.
Dublin, Co. Dublin
Deploy credit scoring, fraud detection, and customer ML models at scale.
Dublin, Co. Dublin
Engineer NLP and intelligent triage ML features for customer service platform.
Dublin, Co. Dublin
Build and maintain ML models for HR analytics and workforce planning products.
Cork, Co. Cork
Develop ML-driven productivity features and predictive analytics for SaaS platform.
Dublin, Co. Dublin
Fund and employ ML engineers in research centres such as Insight and Lero.
Dublin & Letterkenny, Co. Donegal
Build clinical NLP and predictive health ML models at production scale.
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