Find Machine learning software development engineer, ai ops integration Jobs in Ireland

Lead Data Engineer – AI & Foundation Models
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- SQL
Machine Learning Engineer, Customer Support Engineering
Airbnb —County Cavan
- Remote
- Doctoral degree
- English
- Master's degree
Quick apply
Senior AI Security Automation Engineer, Vice President
State Street —Kilkenny, County Kilkenny
- Full-time
- Azure
- Computer Science
- Master's degree
10d
Software Senior Principal Engineer - HyperScale AI Storage Systems
Dell Technologies —Cork, County Cork
- €113,900–€147,400 a year
- Full-time
- System design
- Java
- C++
8d
Senior AI Engineer
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- AWS
Senior Software Engineer - News Content Platform
Bloomberg —Dublin, County Dublin
- Computer Science
- System design
- Java
Software Senior Engineer - HyperScale AI Storage Systems
Dell Technologies —Cork, County Cork
- €75,820–€98,120 a year
- Full-time
- System design
- Java
- C++
8d
Staff Machine Learning Engineer
Sirius XM —Dublin, County Dublin
- Full-time
- Remote
- Azure
- Computer Science
- Java
Advanced Engineer – Data Scientist
Yokohama TWS —County Limerick
- Computer Science
- Data analysis skills
- Research
3d
Staff Machine Learning Engineer
Adswizz —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Java
Senior Engineer, Integration & Control
West Pharmaceutical Services —Waterford, County Waterford
- €65,900–€83,800 a year
- Day shift
- AutoCAD
- Computer Science
- CAD
AI Operations Security Engineer
Cisco Systems —Galway, County Galway
- Full-time
- Doctoral degree
- Master's degree
- Bachelor's degree
EDA flow and Logic Synthesis Engineer (Staff Engineer)
Synopsys —Dublin, County Dublin
- Master's degree
- Analysis skills
- Bachelor's degree
Senior AI Engineer
Citco —Dublin, County Dublin
- Full-time
- AWS
- AI
- Communication skills
Data Engineering Lead – English Speaker – Office Based
SpotOn TA —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Engineering
11d
Junior Automation / Mechatronic Engineer
Analog Devices —Limerick, County Limerick
- Full-time
- Java
- SQL
- Analysis skills
Data Analytics and AI Team Lead
Spanish Point Technologies —Clontarf, County Dublin
- Spanish
- Azure
- Computer Science
Consumer Bluetooth Principal System Application Engineer
Analog Devices —Limerick, County Limerick
- Full-time
- Doctoral degree
- C++
- Bachelor's degree
SOFTWARE ENGINEER
Nitrexo —Midleton, County Cork
- Full-time
- SQL
- AWS
- JavaScript
- Annual leave
Software Architect - Analytics & Reporting
Optum —Dublin, County Dublin
- Full-time
- Azure
- Master's degree
- AWS

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Lead Data Engineer – AI & Foundation Models

Mastercard -
Dublin, County Dublin

Apply Now

Job details

Full-time

Qualifications

CI/CD
Data modelling
Azure
Computer Science
Spark
Google Cloud Platform
SQL
AWS
Bachelor's degree
Mentoring
AI
Analytics

Full job description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Lead Data Engineer – AI & Foundation Models

Overview
Mastercard is seeking a Lead Data Engineer to design, build, and operate the data foundations that power a strategic AI program within the AI & Data organization. This role is responsible for ensuring that high‑quality, well‑governed, and scalable data is available to support foundation models, AI platforms, and downstream use cases.
As a technical lead, you will own end‑to‑end data engineering delivery across the program—partnering closely with AI engineers, software engineers, and product teams to ensure data pipelines, feature assets, and analytical datasets are production‑ready, reliable, and aligned with enterprise standards.

Role
In this role, you will lead the development and operation of data pipelines and data products that enable AI model training, inference, and evaluation.
Key responsibilities include:

Lead the design and implementation of scalable data pipelines supporting AI model training, inference, and experimentation
Own data ingestion, transformation, and aggregation patterns across batch and streaming workloads
Partner with AI engineers to enable feature engineering, feature stores, and training datasets aligned to model requirements
Ensure data pipelines meet enterprise standards for quality, availability, lineage, and governance
Drive best practices for data modeling, schema management, partitioning, and performance optimization
Implement robust data quality checks, validation, and monitoring to ensure trust in downstream AI systems
Collaborate with platform and infrastructure teams to build pipelines on cloud‑native and distributed data processing platforms
Support secure data access patterns, including environment isolation, access controls, and auditability
Lead code reviews and design reviews for data engineering deliverables across the program
Mentor and guide senior and mid‑level data engineers, providing technical direction and delivery oversight
Contribute to program‑level planning by estimating effort, identifying dependencies, and managing delivery risks related to data availability

All About You

Strong experience designing and building production‑grade data pipelines in large‑scale environments
Deep expertise with distributed data processing frameworks (e.g. Spark or equivalent) and SQL‑based analytics
Experience working with cloud data platforms and storage technologies (AWS, Azure, or GCP)
Solid understanding of data modeling, performance tuning, and cost‑efficient data architecture
Experience supporting machine learning and AI workloads, including training datasets, feature engineering, and inference data flows
Familiarity with data governance concepts, including lineage, data quality, access control, and auditability
Strong software engineering fundamentals, including version control, testing, CI/CD, and code quality standards
Ability to translate AI and product requirements into practical, scalable data solutions
Experience leading technical delivery and mentoring engineers, without formal line‑management responsibility
Clear, concise communicator able to collaborate effectively with engineers, data scientists, product managers, and stakeholders
Bachelor’s degree or equivalent practical experience in computer science, engineering, or a related field

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Apply Now

Refine Your Search

machine learning software development engineer, ai ops integration jobs in ireland

Lead Data Engineer – AI & Foundation Models

Machine Learning Engineer, Customer Support Engineering

Senior AI Security Automation Engineer, Vice President

Software Senior Principal Engineer - HyperScale AI Storage Systems

Senior AI Engineer

Senior Software Engineer - News Content Platform

Software Senior Engineer - HyperScale AI Storage Systems

Staff Machine Learning Engineer

Advanced Engineer – Data Scientist

Staff Machine Learning Engineer

Senior Engineer, Integration & Control

AI Operations Security Engineer

EDA flow and Logic Synthesis Engineer (Staff Engineer)

Senior AI Engineer

Data Engineering Lead – English Speaker – Office Based

Junior Automation / Mechatronic Engineer

Data Analytics and AI Team Lead

Consumer Bluetooth Principal System Application Engineer

SOFTWARE ENGINEER

Software Architect - Analytics & Reporting

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