Find Software engineer ml platform Jobs in Clondalkin, D

Lead Software Engineer
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- System design
- Master's degree
Staff/Lead Fullstack Engineer (Frontend-focused)
Mimica —Dublin, County Dublin
- Full-time
- Remote
- System design
- English
- Master's degree
- Annual leave
- Work from home
Business Support Engineer
Meta —Dublin, County Dublin
- Weekend availability
- Master's degree
- SQL
- JavaScript
Sr. SDE, Amazon Email Services
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Java
- AWS
Safety Engineer
ElevenLabs —Dublin, County Dublin
- Full-time
- Remote
- DevOps
- Data analysis skills
- SQL
Software Development Manager, Network Monitoring and Remediation
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Engineering
- AWS
- Team management
Director of Software Engineering - Workplace Technology
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Computer Science
- Java
3d
Staff/Lead Front-end Engineer
Mimica —Dublin, County Dublin
- Full-time
- Remote
- System design
- English
- Master's degree
- Annual leave
- Work from home
Senior Core Technologies Engineer
Intercom —Dublin, County Dublin
- Hybrid work
- Annual leave
- Work from home
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
Senior Data Engineer
Optum —Dublin, County Dublin
- Full-time
- Azure
- DevOps
- Data analysis skills
7d
Staff Machine Learning Engineer
Sirius XM —Dublin, County Dublin
- Full-time
- Remote
- Azure
- Computer Science
- Java
Senior Machine Learning Scientist
Intercom —Dublin, County Dublin
- Hybrid work
- Doctoral degree
- Research
- Master's degree
- Annual leave
- Work from home
Senior ML Science Manager
Intercom —Dublin, County Dublin
- Hybrid work
- Doctoral degree
- Research
- Master's degree
- Annual leave
- Work from home
Senior Manager of Data Engineering
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- SQL
- AWS
- AI
13d
Founding Backend Engineer (Java)
Grand Intelligence —Dublin, County Dublin
- Full-time
- Hybrid work
- Java
- AWS
- AI
Quick apply
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
Biological Structures Data Engineer I/II
Iambic Therapeutics, Inc —Dublin, County Dublin
- Full-time
- Hybrid work
- Doctoral degree
- Engineering
- AWS
Principal Data Scientist
iCIMS Talent Acquisition —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- Research
- Master's degree
- Annual leave
- Life insurance

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Lead Software Engineer

Mastercard -
Dublin, County Dublin

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Job details

Full-time

Qualifications

CI/CD
Law
Computer Science
Kubernetes
System design
Master's degree
Microservices
AWS
Docker
Bachelor's degree
Distributed systems
Angular
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

Lead Software Engineer

Overview

The Program Modernization team at MasterCard drives transformation and champions modernization across technology, risk, and service operations. We establish the foundation for scalable programs, resilient systems and control governance that empowers transformation.

The mission of the Technology Modernization team is to enable all the Mastercard programs across the organization to thrive in an evolving regulatory environment by fostering a culture of strong technology controls and effective execution. The team designs and delivers innovative, data-driven solutions that fulfill assurance obligations and regulatory requirements by proactively identifying risks, build real-time tools that leverage technology to continuously test and monitor the control environment. These capabilities enables audit-ready compliance portal for inventorying, managing, testing, and evidencing technology controls.

Mastercard is committed to driving innovation through advanced technologies and data-driven insights. We are seeking a Lead Engineer to design and deliver scalable, enterprise-grade AI solutions that enhance our digital capabilities and customer experiences.

This role will focus on building intelligent, production-ready systems leveraging large language models (LLMs), knowledge bases with vector search, and modern cloud/data platforms, while ensuring alignment with Mastercard’s standards for security, performance, and reliability.

Role & Responsibilities

Design, develop, and deliver AI-powered solutions leveraging modern architectures, including LLM-based systems and retrieval-augmented generation (RAG)

Build and maintain enterprise knowledge bases with vector search capabilities, enabling semantic search and intelligent information retrieval

Develop LLM-driven applications using frameworks such as LangChain, including prompt engineering, chaining, and orchestration patterns

Implement and integrate solutions leveraging Model Context Protocols (MCP) or equivalent model interaction frameworks

Architect scalable and secure solutions across cloud and data ecosystems, including AWS, Cloudera, and Databricks

Collaborate cross-functionally with product, engineering, and data teams to translate business needs into AI-enabled solutions

Develop and maintain robust APIs and microservices to support AI applications and front-end integrations

Ensure solutions adhere to Mastercard’s standards for data governance, security, compliance, and operational excellence

Monitor and optimize model performance, reliability, and scalability in production environments

Contribute to technical design discussions, mentor junior engineers, and promote engineering best practices

All About You

Proven experience (10 to 15 years) in software engineering, with strong focus on AI/ML and distributed systems

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline

Strong proficiency in Python, with experience building scalable backend systems

Experience with Angular or similar frontend frameworks for building user-facing AI applications

Hands-on experience with LLM frameworks (e.g., LangChain) and building RAG-based systems

Expertise in designing knowledge bases with vector search and working with embedding models

Strong experience with cloud platforms, particularly AWS, and familiarity with Cloudera and Databricks ecosystems

Solid understanding of system design, APIs, and microservices architecture

Preferred Skills

Experience with Model Context Protocol (MCP) or similar AI orchestration frameworks

Experience with vector databases such as PGVector, GraphDB

Familiarity with MLOps practices, including CI/CD pipelines, monitoring, and lifecycle management

Knowledge of containerization and orchestration (Docker, Kubernetes)

Experience working in highly regulated, large-scale enterprise environments

Key Competencies

Strong problem-solving and analytical thinking

Ability to operate effectively in a collaborative, fast-paced environment

Excellent communication and stakeholder engagement skills

Demonstrated ownership and accountability for end-to-end delivery

Commitment to continuous learning and staying current with emerging AI technologies

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks must comply with Mastercard’s security policies and standards. Employees are responsible for maintaining the confidentiality, integrity, and availability of information.

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 engineer ml platform jobs in clondalkin, d

Lead Software Engineer

Staff/Lead Fullstack Engineer (Frontend-focused)

Business Support Engineer

Sr. SDE, Amazon Email Services

Safety Engineer

Software Development Manager, Network Monitoring and Remediation

Director of Software Engineering - Workplace Technology

Staff/Lead Front-end Engineer

Senior Core Technologies Engineer

AI Software Engineer II (R-19524)

Senior Data Engineer

Staff Machine Learning Engineer

Senior Machine Learning Scientist

Senior ML Science Manager

Senior Manager of Data Engineering

Founding Backend Engineer (Java)

Director of AI Engineering

Director, Software Engineering

Biological Structures Data Engineer I/II

Principal Data Scientist

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