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
Engineer, Product Engineering (Mfg.)
Analog Devices —Limerick, County Limerick
- Full-time
- Relocation assistance
11d
Senior Software Engineer - News Content Platform
Bloomberg —Dublin, County Dublin
- Computer Science
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FY27 Intern - Software Intern (Data Center, Cloud-AI Engineering) - Cork
Qualcomm —Cork, County Cork
- Computer Science
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Enterprise Partner Manager - Ireland, Northern Europe
ClickUp —Dublin, County Dublin
- €180,000–€217,500 a year
- Full-time
- Sales
- English
- AI
- Annual leave
- Employee assistance program
AI Operations Security Engineer
Cisco Systems —Galway, County Galway
- Full-time
- Doctoral degree
- Master's degree
- Bachelor's degree
Lead Software Engineer - Workforce Experience Technology (Backend, AWS)
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- System design
- Java
- AWS
3d
Senior Mobile Engineer
Nory —Dublin, County Dublin
- Full-time
- Hybrid work
- Hospitality
- Restaurant management
- English
- Annual leave
- Work from home
Software Senior Principal Engineer
Dell Technologies —County Cork
- Full-time
- No degree
- Agile
- Linux
Product Manager
Siena AI —Dublin, County Dublin
- Full-time
- Remote
- Master's degree
- AI
Senior Embedded Systems Design Engineer
Eaton —Dublin, County Dublin
- Computer Science
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- C++
6d
Commercial Operations Engineer
Gambling.com Group —Remote
- Remote
- AI
- Communication skills
- Gym membership
13d
Process Automation Lead - Arachas Location
Ardonagh Europe —Dublin, County Dublin
- Hybrid work
- Computer Science
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- Java
Staff Insights Applications Engineer
Analog Devices —Glasnevin, County Dublin
- Full-time
- Computer Science
- Master's degree
- C++
Senior Software Engineer, Cloud Security
Iambic Therapeutics, Inc —Dublin, County Dublin
- Full-time
- Hybrid work
- Master's degree
- AWS
- Bachelor's degree
5d
Process Automation Lead - Arachas Location
Arachas —Sandyford, County Dublin
- Hybrid work
- Computer Science
- Salesforce
- Java
11d
Forward Deployed Engineer II, GCC (French, German)
Google —Dublin, County Dublin
- €76,000–€78,000 a year
- Full-time
- Spanish
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- Doctoral degree
10d
Data Analytics and AI Team Lead
Spanish Point Technologies —Clontarf, County Dublin
- Spanish
- Azure
- Computer Science
Platform Engineering Team Lead
EcoOnline —Dublin, County Dublin
- Hybrid work
- AWS
- Mentoring
- AI
- Annual leave
Project Engineering Management, Sr Staff Engineer
Synopsys —Dublin, County Dublin
- Microsoft Excel
- Engineering
- Master's degree
10d

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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

Engineer, Product Engineering (Mfg.)

Senior Software Engineer - News Content Platform

FY27 Intern - Software Intern (Data Center, Cloud-AI Engineering) - Cork

Enterprise Partner Manager - Ireland, Northern Europe

AI Operations Security Engineer

Lead Software Engineer - Workforce Experience Technology (Backend, AWS)

Senior Mobile Engineer

Software Senior Principal Engineer

Product Manager

Senior Embedded Systems Design Engineer

Commercial Operations Engineer

Process Automation Lead - Arachas Location

Staff Insights Applications Engineer

Senior Software Engineer, Cloud Security

Process Automation Lead - Arachas Location

Forward Deployed Engineer II, GCC (French, German)

Data Analytics and AI Team Lead

Platform Engineering Team Lead

Project Engineering Management, Sr Staff Engineer

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