Find Data scientist Jobs in Leixlip, Ke

Senior AI Engineer
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- AWS
13d
Senior Staff Machine Learning Scientist, Recommendations
Sirius XM —Dublin, County Dublin
- Full-time
- Remote
- Doctoral degree
- Java
- Master's degree
Lead Machine Learning Engineer
DocuSign —Dublin, County Dublin
- Doctoral degree
- Computer Science
- Master's degree
7d
Scaled Customer Engineer, SMB, Artificial Intelligence
Google —Dublin, County Dublin
- €64,000–€66,000 a year
- Full-time
- Computer Science
- Presentation skills
- Bachelor's degree
Senior Product Manager, AI / ML Solutions
Optum —Dublin, County Dublin
- Full-time
- Azure
- Doctoral degree
- Data analysis skills
Senior Machine Learning Engineer
Equifax —Dublin, County Dublin
- Full-time
- Computer Science
- Master's degree
- SQL
- Gym membership
- Sick pay
Director Data Science
Optum —Dublin, County Dublin
- Full-time
- Doctoral degree
- Master's degree
- Bachelor's degree
Senior QA Automation Engineer (AI-First)
News Corp —Dublin, County Dublin
- Master's degree
- SQL
- AWS
3d
Applied AI Lead - Risk
Element Fleet Management —Dublin, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
- Mentoring
Group Head of Data Analytics and Consumer Insights (FTC)
Applegreen Stores —Dublin, County Dublin
- Full-time
- Management
- Master's degree
- Analysis skills
Quick apply
5d
Head of Digital Platforms and AI Marketing Transformation, Director
Citi —Dublin, County Dublin
- €130,000–€230,000 a year
- Full-time
- Master's degree
- Bachelor's degree
- Product management
AI Project Manager (R-19384)
Dun & Bradstreet —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- English
- Annual leave
Quick apply
AI Product Manager
iCIMS Talent Acquisition —DUBLIN 2, County Dublin
- Bachelor's degree
- No degree
- Product management
- Annual leave
- Life insurance
Senior Applied Scientist, AWS Security
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Doctoral degree
- Research
- Master's degree
2d
Staff Machine Learning Engineer
Sirius XM —Dublin, County Dublin
- Full-time
- Remote
- Azure
- Computer Science
- Java
AI Product Manager
iCims —DUBLIN 2, County Dublin
- Bachelor's degree
- No degree
- Product management
- Annual leave
- Life insurance
AI Architect (R-18541)
Dun & Bradstreet —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Annual leave
Quick apply
Vice President Data Science
Optum —Dublin, County Dublin
- Full-time
- Computer Science
- Master's degree
- AI
Senior Engineer, Applied AI
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- Master's degree
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
12d

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Senior AI Engineer

Mastercard -
Dublin, County Dublin

Apply Now

Job details

Full-time
13 days ago

Qualifications

TensorFlow
Azure
Computer Science
Google Cloud Platform
AWS
Bachelor's degree
AI
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

Senior AI Engineer

Overview
Mastercard is seeking a Senior AI Engineer to design, build, and deploy high‑quality AI solutions that support key business and product initiatives. This role is hands‑on and delivery‑focused, contributing directly to the development of production AI systems while collaborating closely with product, data, and engineering partners.
As a Senior AI Engineer, you will work on well‑scoped AI initiatives, applying advanced machine learning and software engineering practices to move models from experimentation into reliable, performant production systems. This role represents a critical technical contributor level, with opportunities to grow toward technical leadership and broader system ownership.

Role
In this role, you will be responsible for building and operationalizing AI solutions
Key responsibilities include:

Design, develop, and deploy AI and machine learning models to solve defined business and product problems
Contribute to the development and optimization of transformer‑based and generative AI models, including fine‑tuning, evaluation, and inference workflows
Build and maintain data pipelines, feature engineering logic, and training workflows in collaboration with data engineering teams
Implement model serving and inference solutions, integrating models into downstream applications and APIs
Apply MLOps best practices, including experiment tracking, versioning, automated testing, monitoring, and model performance evaluation
Participate in code reviews, design discussions, and technical planning to ensure high‑quality, maintainable solutions
Collaborate with product managers and stakeholders to translate requirements into technical implementations
Support troubleshooting and performance tuning of models and AI systems in production environments
Continuously improve technical skills and stay current with advances in AI, ML frameworks, and engineering practices

All About You
Solid experience developing machine learning or AI solutions and deploying them into production environments
Strong proficiency in Python and experience with ML frameworks such as PyTorch and/or TensorFlow
Hands‑on experience with transformer‑based models (e.g. BERT‑style encoders, generative models, embeddings, or similar architectures)
Experience working with data pipelines and datasets, including data preparation, feature engineering, and training data management
Familiarity with cloud platforms (AWS, Azure, or GCP) and cloud‑based ML tooling
Working knowledge of MLOps practices, including model deployment, monitoring, and lifecycle management
Strong software engineering fundamentals, including version control, testing, and code quality practices
Ability to collaborate effectively within cross‑functional teams and follow established architectural and engineering standards
Clear communicator with a growth mindset and interest in progressing toward broader technical ownership
Bachelor’s degree or equivalent practical experience in computer science, engineering, data science, or a related field

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

data scientist jobs in leixlip, ke

Senior AI Engineer

Senior Staff Machine Learning Scientist, Recommendations

Lead Machine Learning Engineer

Scaled Customer Engineer, SMB, Artificial Intelligence

Senior Product Manager, AI / ML Solutions

Senior Machine Learning Engineer

Director Data Science

Senior QA Automation Engineer (AI-First)

Applied AI Lead - Risk

Group Head of Data Analytics and Consumer Insights (FTC)

Head of Digital Platforms and AI Marketing Transformation, Director

AI Project Manager (R-19384)

AI Product Manager

Senior Applied Scientist, AWS Security

Staff Machine Learning Engineer

AI Product Manager

AI Architect (R-18541)

Vice President Data Science

Senior Engineer, Applied AI

AI Software Engineer II (R-19524)

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