Find Software ml engineer Jobs in Dublin, D

Principal Software Engineer
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Java
- AWS
Master Systems Engineer
Ericsson —Dublin, County Dublin
- Azure
- Computer Science
- Java
- Annual leave
- Sick pay
10h
Software Engineering Manager
Applied Materials —Dublin, County Dublin
- Full-time
- Management
- Computer Science
- Master's degree
Technical Solutions Engineer
Protex AI —Dublin, County Dublin
- Full-time
- Hybrid work
Staff AI Product Manager
Intercom —Dublin, County Dublin
- Hybrid work
- AI
- Communication skills
- Annual leave
- Work from home
Lead AI engineer
Mastercard —Dublin, County Dublin
- Full-time
- System design
- Master's degree
- AI
Staff Product Engineer, AI
Intercom —Dublin, County Dublin
- Hybrid work
- Computer Science
- Bachelor's degree
- JavaScript
- Annual leave
- Work from home
Engineering Manager, AI Models Infrastructure
Intercom —Dublin, County Dublin
- Hybrid work
- AI
- Communication skills
- Annual leave
- Work from home
Senior AI Engineer
Citco —Dublin, County Dublin
- Full-time
- AWS
- AI
- Communication skills
Senior Analytics Engineer
Intercom —Dublin, County Dublin
- Hybrid work
- SQL
- Communication skills
- Python
- Annual leave
- Work from home
Senior Machine Learning Scientist
Intercom —Dublin, County Dublin
- Hybrid work
- Doctoral degree
- Research
- Master's degree
- Annual leave
- Work from home
Principal Data Scientist
Optum —Dublin, County Dublin
- Full-time
- Computer Science
- Research
- Master's degree
Quantitative Development - DevOps Engineer
Millennium Management —Dublin, County Dublin
- DevOps
- Research
- Linux
Founding Full-Stack (Flutter and Java) Engineer
Grand Intelligence —Dublin, County Dublin
- Full-time
- Hybrid work
- Java
- AWS
- AI
Quick apply
Network Dev Engineer II, ONE Access Engineering (LAN)
Amazon Ireland Support Services Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Master's degree
- AWS
Director of Software Engineering
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- DevOps
3d
Sr. SDE, Amazon Email Services
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Java
- AWS
Technical Product Manager QVAC - 100% remote
Tether Operations Limited —Dublin, County Dublin
- Full-time
- Remote
- Computer Science
- English
- C++
Staff Forward Deployed Engineer
Intercom —Dublin, County Dublin
- Hybrid work
- JavaScript
- In-person
- Communication skills
- Annual leave
- Work from home
Director of Software Engineering - Workplace Technology
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Computer Science
- AWS

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Principal Software Engineer

Mastercard -
Dublin, County Dublin

Apply Now

Job details

Full-time

Qualifications

Azure
Go
Kubernetes
C#
Encryption
Google Cloud Platform
Java
AWS
SDKs
REST
gRPC
Leadership
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

Principal Software Engineer

Overview
Mastercard is seeking a Principal Software Engineer to architect, build, and operate the API platform that securely exposes foundation model capabilities across the organization. This role is critical to enabling safe, scalable, and compliant adoption of generative AI and advanced analytics across Mastercard products and services.
As a senior technical authority, you will define the architectural standards and operational practices that allow teams to consume AI model capabilities reliably and responsibly. You will partner closely with AI/ML engineers, product, security, and platform teams to deliver production‑grade APIs that meet Mastercard’s requirements for performance, resilience, governance, and trust.

Role
In this role, you will be responsible for end‑to‑end ownership of the foundation model API layer, ensuring it is secure, scalable, observable, and easy to adopt.
Key responsibilities include:

Architect and build enterprise‑grade API platforms that expose foundation model capabilities (e.g. inference, embeddings, agents) to internal consumers
Define and enforce API standards, including versioning, backward compatibility, SDKs, and developer experience best practices
Design and implement security and governance controls, including authentication, authorization, policy enforcement, audit logging, and usage limits
Ensure platform reliability, scalability, and performance, including traffic management, caching, retries, and graceful degradation
Partner with AI/ML engineering teams to productionize model capabilities while abstracting complexity from downstream consumers
Drive observability and cost control, delivering usage metrics, monitoring, alerting, and cost attribution across tenants and applications
Lead technical design reviews and code reviews for critical services, setting a high bar for engineering quality and operational readiness
Influence broader platform and AI strategy through architectural guidance, technical proposals, and trade‑off analysis
Mentor senior engineers and act as a role model for secure, resilient, and maintainable software engineering practices

All About You

Extensive experience designing and operating large‑scale, distributed production systems
Deep expertise in API and platform engineering, including REST and/or gRPC, service gateways, and multi‑tenant architectures
Strong background in software security, including authN/authZ, encryption, secrets management, and threat modeling
Experience building services in cloud‑native environments (e.g. Kubernetes, managed cloud services on AWS, Azure, or GCP)
Proven ability to deliver reliable, observable, and cost‑efficient services in high‑availability environments
Strong programming skills in one or more backend languages (e.g. Java, Go, C#, Kotlin, Python)
Familiarity with foundation model integration patterns, such as inference APIs, embeddings, RAG pipelines, and safety controls (preferred)
Experience working in regulated or enterprise environments, with an understanding of compliance, auditability, and risk management
Excellent communication skills with the ability to influence technical direction across teams
Demonstrated leadership through technical excellence, mentorship, and architectural ownership, rather than people management alone

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

software ml engineer jobs in dublin, d

Principal Software Engineer

Master Systems Engineer

Software Engineering Manager

Technical Solutions Engineer

Staff AI Product Manager

Lead AI engineer

Staff Product Engineer, AI

Engineering Manager, AI Models Infrastructure

Senior AI Engineer

Senior Analytics Engineer

Senior Machine Learning Scientist

Principal Data Scientist

Quantitative Development - DevOps Engineer

Founding Full-Stack (Flutter and Java) Engineer

Network Dev Engineer II, ONE Access Engineering (LAN)

Director of Software Engineering

Sr. SDE, Amazon Email Services

Technical Product Manager QVAC - 100% remote

Staff Forward Deployed Engineer

Director of Software Engineering - Workplace Technology

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