Find Engineer ml platform Jobs in Dublin, D

Director of AI Engineering
Mastercard —Dublin, County Dublin
- Full-time
- AI
- Communication skills
- Python
Director, Software Engineering
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
- No degree
Architect
TestReach —Dublin, County Dublin
- Azure
- Computer Science
- DevOps
Solution Architect
Sonalake —Dublin, County Dublin
- Hybrid work
- English
- Presentation skills
- Agile
Quick apply
Senior AI Engineer
Sonatus —Dublin, County Dublin
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
Quick apply
Software Engineering Manager
PlayStation Global —Dublin, County Dublin
- €96,900–€145,300 a year
- System design
- C++
- JavaScript
Quick apply
Product Manager
Kitman Labs —Dublin, County Dublin
- Full-time
- Hybrid work
- AI
- Communication skills
- Analytics
Staff/Lead Fullstack Engineer (Frontend-focused)
Mimica —Dublin, County Dublin
- Full-time
- Remote
- System design
- English
- Master's degree
- Annual leave
- Work from home
Staff AI Designer
Intercom —Dublin, County Dublin
- Hybrid work
- Annual leave
- Work from home
Technical Recruiter
ElevenLabs —Dublin, County Dublin
- Full-time
- Remote
- Research
- Recruiting
- Communication skills
Principal Data Product Engineer — Data Ontology & Metadata
Alexion Pharmaceuticals,Inc. —Dublin, County Dublin
- Doctoral degree
- Computer Science
- Master's degree
11d
Founding Backend Engineer (Java)
Grand Intelligence —Dublin, County Dublin
- Full-time
- Hybrid work
- Java
- AWS
- AI
Quick apply
Principal Full Stack Software Engineer – eCommerce Platforms
Abbott Laboratories —Dublin, County Dublin
- Full-time
- Azure
- System design
- Java
Principal Data Product Engineer — Data Ontology & Metadata
AstraZeneca —Dublin, County Dublin
- Doctoral degree
- Computer Science
- Master's degree
11d
Senior MLOps Engineer
MUFG Investor Services —Dublin, County Dublin
- Full-time
- DevOps
- AWS
- AI
Quick apply
Senior Manager of Data Engineering
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- SQL
- AWS
- AI
Principal Data Scientist
iCIMS Talent Acquisition —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- Research
- Master's degree
- Annual leave
- Life insurance
Data Engineering Team Lead - Databricks
G MASS —Dublin, County Dublin
- Full-time
- Hybrid work
- SQL
- AWS
- Agile
Quick apply
Partner Solutions Architect
Nebius —Dublin, County Dublin
- Remote
- Azure
- AWS
- AI
Quick apply
Director of Cloud, Enterprise Operations
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- DevOps
- English
4d

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Director of AI Engineering

Mastercard -
Dublin, County Dublin

Apply Now

Job details

Full-time

Qualifications

TensorFlow
AI
Communication skills
Python

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

Director of AI Engineering

Overview
Mastercard is seeking a Director of AI Engineering to lead a specialised team of AI engineers focused on foundation model development and the delivery of high‑value AI use cases. This role is responsible for driving the practical application of transformer‑based and generative AI capabilities—ensuring models are effectively developed, adapted, and deployed to solve real business problems.
You will lead a team working at the intersection of model development and use case execution, translating foundational AI capabilities into scalable, production‑ready solutions. The role requires strong technical judgement, delivery leadership, and the ability to balance innovation with enterprise requirements for reliability, security, and governance.

Role
In this role, you will lead a team responsible for developing and applying foundation model capabilities to priority use cases.
Key responsibilities include:

Lead a team of AI engineers focused on foundation model development, fine‑tuning, and optimisation, particularly transformer‑based and generative AI systems
Drive the end‑to‑end delivery of AI use cases, from problem definition through model integration and production deployment
Partner with product and business stakeholders to identify and prioritise high‑impact AI use cases, translating them into clear technical execution plans
Ensure effective use of foundation models across use cases, including prompting strategies, embeddings, fine‑tuning, evaluation, and performance optimisation
Collaborate with data engineering and platform teams to ensure data readiness, model integration, and scalable deployment patterns
Establish best practices for model evaluation, experimentation, and continuous improvement, ensuring solutions are robust and measurable
Embed responsible AI practices, including model validation, bias considerations, and appropriate guardrails
Provide technical guidance and coaching to engineers, ensuring high standards in both AI development and software engineering practices
Track delivery progress, manage risks, and ensure timely, high‑quality execution of use cases aligned to program priorities

All About You

Proven experience leading teams delivering AI/ML solutions in production, particularly in use‑case driven environments
Strong hands‑on understanding of transformer architectures and generative AI, including fine‑tuning, prompting, embeddings, and evaluation
Experience bridging model development and real‑world application, translating AI capabilities into business impact
Solid engineering background, with familiarity in Python, ML frameworks (e.g. PyTorch/TensorFlow), and production deployment patterns
Experience working with data engineering and MLOps practices to support training, evaluation, and inference at scale
Strong stakeholder management skills, with the ability to align technical delivery to business priorities and measurable outcomes
Demonstrated ability to lead and develop high‑performing teams, providing technical direction, coaching, and delivery oversight
Comfortable operating in a fast‑moving, evolving AI landscape with ambiguity and shifting priorities
Excellent communication skills, able to articulate complex AI concepts to both technical and non‑technical audiences

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

engineer ml platform jobs in dublin, d

Director of AI Engineering

Director, Software Engineering

Architect

Solution Architect

Senior AI Engineer

Software Engineering Manager

Product Manager

Staff/Lead Fullstack Engineer (Frontend-focused)

Staff AI Designer

Technical Recruiter

Principal Data Product Engineer — Data Ontology & Metadata

Founding Backend Engineer (Java)

Principal Full Stack Software Engineer – eCommerce Platforms

Principal Data Product Engineer — Data Ontology & Metadata

Senior MLOps Engineer

Senior Manager of Data Engineering

Principal Data Scientist

Data Engineering Team Lead - Databricks

Partner Solutions Architect

Director of Cloud, Enterprise Operations

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