Find Engineer ml Jobs in Dublin, D

Director, Software Engineering
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
- No degree
Principal Data Scientist
iCims —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- Research
- Master's degree
- Annual leave
- Life insurance
Senior AI Engineer
Citco —Dublin, County Dublin
- Full-time
- AWS
- AI
- Communication skills
Senior Engineer, Applied AI
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- Master's degree
Staff Forward Deployed Engineer
Intercom —Dublin, County Dublin
- Hybrid work
- JavaScript
- In-person
- Communication skills
- Annual leave
- Work from home
Head/Director of Product (AI Insights & Automation)
Mimica —Dublin, County Dublin
- Full-time
- Remote
- English
- AI
- Annual leave
- Work from home
Lead Software Engineer - AI
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- System design
- Java
Manager, Account Executives, Startups
Anthropic —Dublin, County Dublin
- €265,000–€310,000 a year
- Sales
- Analysis skills
- Bachelor's degree
AI Product Manager
iCims —DUBLIN 2, County Dublin
- Full-time
- Bachelor's degree
- No degree
- Product management
- Annual leave
- Life insurance
Senior Data Scientist
Verve —Dublin, County Dublin
- Doctoral degree
- Master's degree
- SQL
11d
AI Software Engineer II (R-19524)
Dun & Bradstreet —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- System design
- Master's degree
- Annual leave
Quick apply
Staff Product Manager - AI - 100% Remote - EMEA
Hostaway —Dublin, County Dublin
- Full-time
- Remote
- Bachelor's degree
- Product management
- AI
- Annual leave
- Work from home
Quick apply
Forward Deployed Engineer III, GCC (French, German)
Google —Dublin, County Dublin
- €100,000–€103,000 a year
- Full-time
- Spanish
- Microsoft Excel
- Doctoral degree
Senior Applied Scientist, AWS Security
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Doctoral degree
- Research
- Master's degree
7d
Senior Product Manager, GenAI Content Safety
Google —Dublin, County Dublin
- €146,000–€150,000 a year
- Full-time
- Master's degree
- Bachelor's degree
- No degree
9d
Forward Deployed Engineer II, GCC (French, German)
Google —Dublin, County Dublin
- €76,000–€78,000 a year
- Full-time
- Spanish
- Microsoft Excel
- Doctoral degree
Senior Staff Machine Learning Scientist, Recommendations
Sirius XM —Dublin, County Dublin
- Full-time
- Remote
- Doctoral degree
- Java
- Master's degree
AI Engineer
Version 1 —Dublin, County Dublin
- €45,000–€55,000 a year
- Full-time
- Azure
- Oracle
- English
- Employee assistance program
- Employee discount
Quick apply
1d
Principal Cybersecurity Architect
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- AWS
- Software development
- AI
4d
Senior Data Engineer — Lab Data Pipelines & Data Mesh (12 month FTC)
AstraZeneca —Dublin, County Dublin
- Computer Science
- Engineering
- Master's degree
1d

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Director, Software Engineering

Mastercard -
Dublin, County Dublin

Apply Now

Job details

Full-time

Qualifications

Computer Science
Software Engineering
Bachelor's degree
Computer Engineering
Leadership
Communication skills

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, Software Engineering

About Mastercard
Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits
everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our
innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency
quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and
territories, we are building a sustainable world that unlocks priceless possibilities for all.

Role Summary

Lead Quality Engineering as a strategic function across all CNPF products and platforms. Build and lead a global team of quality engineers
obsessively focused on customer experience and product reliability — operating across the full stack (frontend, backend, APIs, data pipelines,
AI/ML, infrastructure). Define QE strategy and ensure its execution at pace.

The role is responsible for designing, developing, testing, maintaining, and enhancing Mastercard's software solutions to ensure quality, security,
scalability, and performance to deliver measurable business value.
-
Key Responsibilities

Develop and execute short-term and medium-term strategic plans for Quality Engineering
Lead the design and delivery of complex testing solutions across full-stack applications, data systems, and infrastructure
Drive test automation strategy — define what to automate, at what layer, with what tooling
Embed quality earlier in the lifecycle (shift-left) and extend into production (shift-right)
Define QE strategy for data products — pipeline validation, data contracts, schema drift detection, ML model quality
Establish evaluation and quality frameworks for AI and agentic products — guardrail testing, hallucination detection, prompt regression testing
Own release quality gates and define ship-or-hold criteria
Drive root cause analysis on production incidents and escaped defects
Manage budget, resource planning, and vendor relationships for QE
Hire, develop, and retain world-class QE talent; build compelling career paths
Evaluate, select, and manage QE tooling; drive build-vs-buy decisions
Stay current with industry QE practices and represent Mastercard externally

Qualifications

Required:

12+ years of software engineering experience, with 7+ years focused on Quality Engineering at increasing levels of scope and leadership
5+ years managing engineering teams, including managing people leaders (managers of managers)
Demonstrated expertise across full-stack application quality (API, UI, microservices) and data/ML system quality (pipelines, models, data

platforms)

Track record of defining and executing QE strategy at scale — not just running a test team, but transforming how an organization approaches

quality

Experience in financial services, payments, or other highly regulated technology environments
Strong communication skills including the ability to assert quality positions to senior leadership, present to executives, and influence without

authority

Experience with budget and resource management, including forecasting, vendor management, and build-vs-buy decisions
Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience

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, Software Engineering

Principal Data Scientist

Senior AI Engineer

Senior Engineer, Applied AI

Staff Forward Deployed Engineer

Head/Director of Product (AI Insights & Automation)

Lead Software Engineer - AI

Manager, Account Executives, Startups

AI Product Manager

Senior Data Scientist

AI Software Engineer II (R-19524)

Staff Product Manager - AI - 100% Remote - EMEA

Forward Deployed Engineer III, GCC (French, German)

Senior Applied Scientist, AWS Security

Senior Product Manager, GenAI Content Safety

Forward Deployed Engineer II, GCC (French, German)

Senior Staff Machine Learning Scientist, Recommendations

AI Engineer

Principal Cybersecurity Architect

Senior Data Engineer — Lab Data Pipelines & Data Mesh (12 month FTC)

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