Find Engineer ml Jobs in Dublin, D

Director of AI Engineering
Mastercard —Dublin, County Dublin
- Full-time
- AI
- Communication skills
- Python
Principal Architect (Remote – Ireland)
Hadfield Green —DUBLIN 2, County Dublin
- Remote
- System design
- Java
- Leadership
Technical Recruiter
ElevenLabs —Dublin, County Dublin
- Full-time
- Remote
- Research
- Recruiting
- Communication skills
Lead Technology Product Manager (Brightflag)
Wolters Kluwer —Dublin, County Dublin
- Full-time
- Product management
- AI
- Life insurance
Senior NPU SDK Engineer
Innatera Nanosystems —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- C++
Quick apply
Solution Architect
Sonalake —Dublin, County Dublin
- Hybrid work
- English
- Presentation skills
- Agile
Quick apply
Director, Engineering - Comms Capture
Gong.io —Dublin, County Dublin
- Azure
- AWS
- AI
Quick apply
Strategic Operations Manager, Egregious Harms, Service Delivery, Trust and Safety
Google —Dublin, County Dublin
- €138,000–€142,000 a year
- Full-time
- Bachelor's degree
- No degree
- AI
1d
Senior AI Security Engineer (R-19324)
Dun & Bradstreet —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- English
- Microsoft Office
- Annual leave
Quick apply
Director of Data Engineering
2K —Dublin, County Dublin
- DevOps
- Data analysis skills
- AI
Quick apply
Senior Application Security Engineer
SoftCo —Dublin, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- Computer Science
Quick apply
Partner Solutions Architect
Nebius —Dublin, County Dublin
- Remote
- Azure
- AWS
- AI
Quick apply
5d
Senior Software Engineer, Cash Forecasting
Ripple —Dublin, County Dublin
- Full-time
- Azure
- Oracle
- AWS
Quick apply
1d
Data Engineer
Grouper —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- SQL
Quick apply
Principal Data Product Engineer — Data Ontology & Metadata
Alexion Pharmaceuticals,Inc. —Dublin, County Dublin
- Doctoral degree
- Computer Science
- Master's degree
3h

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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 jobs in dublin, d

Director of AI Engineering

Principal Architect (Remote – Ireland)

Technical Recruiter

Lead Technology Product Manager (Brightflag)

Senior NPU SDK Engineer

Solution Architect

Director, Engineering - Comms Capture

Strategic Operations Manager, Egregious Harms, Service Delivery, Trust and Safety

Senior AI Security Engineer (R-19324)

Director of Data Engineering

Senior Application Security Engineer

Partner Solutions Architect

Senior Software Engineer, Cash Forecasting

Data Engineer

Principal Data Product Engineer — Data Ontology & Metadata

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