71 Machine Learning Engineer jobs in Ireland

**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 Machine Learning Engineer
Overview:
We are seeking a highly skilled and experienced Senior Data Scientist to design, build, and optimize scalable machine learning systems that deliver measurable impact across the business. This role involves developing robust ML pipelines, deploying models to production, and applying advanced techniques to solve complex problems. The ideal candidate is a hands-on technical expert with deep knowledge of machine learning, software engineering, and data infrastructure.
Role:
Responsible for developing machine learning-driven analytical solutions and identifying opportunities to support business and client needs in a scalable and automated manner, facilitating informed recommendations and decisions. Activities include designing and deploying ML models, building end-to-end pipelines, conducting performance analyses, ad hoc reporting, and developing ML-powered data visualizations.
In this position, you will:
Lead complex technical initiatives to build and deploy ML systems that solve critical business questions and automate decision-making processes
Translate business and stakeholder requirements into scalable machine learning solutions and collaborate with engineering and data teams to implement them
Identify rich data sources and oversee the integration, cleaning, and transformation of datasets to ensure consistency and readiness for ML applications
Deliver high-quality ML solutions and tools within agreed-upon timelines and budget parameters and conduct post-implementation reviews
Develop sophisticated ML models and engineering solutions (e.g., recommendation systems, anomaly detection engines, predictive maintenance tools) using supervised, unsupervised, and reinforcement learning techniques
Apply best practices in software engineering, including version control, testing, and continuous integration, to ensure reliability and maintainability of ML systems
Optimize model performance and scalability through hyperparameter tuning, feature selection, and efficient deployment strategies
All about you:
3 - 5 years proven experience designing, building, and deploying machine learning systems in production environments
Strong proficiency in Python and ML frameworks such as Scikit-learn, TensorFlow, PyTorch
Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes)
Solid understanding of ML algorithms, model evaluation, feature engineering, and data preprocessing
Experience with complex neural network architectures and transformer-based models (e.g., BERT, GPT, ViTs) is strongly preferred
Familiarity with MLOps practices including CI/CD, model monitoring, and automated retraining
Strong problem-solving skills and ability to work independently on technically challenging projects
Excellent communication skills and ability to collaborate effectively with cross-functional teams
#AI
**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.

Are you ready to join a game-changing open-source AI platform that harnesses the power of hybrid cloud to drive innovation?
The Red Hat OpenShift AI team is looking for a Principal Machine Learning Engineer with Kubernetes and MLOps (Machine Learning Operations) experience to join our rapidly growing engineering team. Our focus is to create a platform, partner ecosystem, and community by which enterprise customers can solve problems to accelerate business success using AI. This is a very exciting opportunity to build and impact the next generation of MLOps platforms, participate in open source communities, contribute to the development of the OpenShift AI product, and be at the forefront of the exciting evolution of AI. You'll join an ecosystem that fosters continuous learning, career growth, and professional development.
In this role, you will provide key leadership to a talented team of engineers, contributing directly to projects such as Kubeflow, Ray and MLFlow with a primary focus on delivering fine tuning capabilities across the Red Hat AI product portfolio. We're looking for an individual contributor who is open to leading by example to promote a positive supporting team culture, collaborating closely with other developers, stakeholders and cross-functional teams. Embracing an upstream first mentality, you should have a passion for working in open-source communities and for developing solutions that integrate Red Hat, open-source, and partner technologies into a cohesive platform.
**What you will do**
+ Play a key leadership role within a talented group of engineers, working closely with staff engineers and architects to outline a vision and roadmap for the training and experimentation stack in **OpenShift AI**
+ Work closely with the AI Innovation team to help deliver **LLM training** , continual learning and reinforcement learning techniques across our product portfolio
+ Embrace an upstream first mindset to help our teams become more influential in MLOps focused communities such as **Kubeflow**
+ Liaise with stakeholder groups and cross-functional teams to deliver new product features
+ Ensure non-functional requirements including security, resiliency, and maintainability are met
+ Use **CI/CD best practices** to deliver solutions as productization efforts into **OpenShift AI**
+ Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members
+ Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements
+ Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts
+ Give thoughtful and prompt code reviews
+ Represent **OpenShift AI** in external engagements including industry events, customer meetings, and open source communities
+ Mentor, influence, and coach a distributed team of engineers
**What you will bring**
+ Advanced experience in **Python and Go**
+ Advanced experience developing applications in **Kubernetes, OpenShift,** or other **cloud-native technologies**
+ Ability to quickly learn, adapt and guide others on using new tools and technologies
+ Proven ability to innovate and a passion for staying at the forefront of technology.
+ Experience with distributed systems (especially those that run on Kubernetes) and **troubleshooting** them
+ Autonomous work ethic, thriving in a dynamic, fast-paced environment.
+ Experience providing technical leadership in a global team and delivering on a vision
+ Excellent written and verbal communication skills
+ A willingness to proactively **utilize AI-assisted development tools** such as **Cursor** and **Claude Code** for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.
+ Open to exploring and experimenting with emerging **AI technologies** relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling
+ Ability to define and scale testing, automation, and reproducibility standards across ML systems
**The following will be considered a plus:**
+ While a Bachelor's degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess
+ Understanding of how **Open Source** communities work
+ Experience working with **upstream communities**
+ Familiarity or experience with the **MLOps lifecycle** , with an emphasis on **model training**
+ Experience writing **Kubernetes/OpenShift controllers and operators**
+ Experience **writing SDKs in Python** or other languages
**About Red Hat**
Red Hat ( is the world's leading provider of enterprise open source ( software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
**Inclusion at Red Hat**
Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
**Equal Opportunity Policy (EEO)**
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
**Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.**
**Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email** ** ** **. General inquiries, such as those regarding the status of a job application, will not receive a reply.**

Are you ready to join a game-changing open-source AI platform that harnesses the power of hybrid cloud to drive innovation?
The Red Hat OpenShift AI team is looking for a Principal Machine Learning Engineer with Kubernetes and MLOps (Machine Learning Operations) experience to join our rapidly growing engineering team. Our focus is to create a platform, partner ecosystem, and community by which enterprise customers can solve problems to accelerate business success using AI. This is a very exciting opportunity to build and impact the next generation of MLOps platforms, participate in open source communities, contribute to the development of the OpenShift AI product, and be at the forefront of the exciting evolution of AI. You'll join an ecosystem that fosters continuous learning, career growth, and professional development.
In this role, you will provide key leadership to a talented team of engineers, contributing directly to projects such as Kubeflow, Ray and MLFlow with a primary focus on delivering fine tuning capabilities across the Red Hat AI product portfolio. We're looking for an individual contributor who is open to leading by example to promote a positive supporting team culture, collaborating closely with other developers, stakeholders and cross-functional teams. Embracing an upstream first mentality, you should have a passion for working in open-source communities and for developing solutions that integrate Red Hat, open-source, and partner technologies into a cohesive platform.
**What you will do**
+ Play a key leadership role within a talented group of engineers, working closely with staff engineers and architects to outline a vision and roadmap for the training and experimentation stack in **OpenShift AI**
+ Work closely with the AI Innovation team to help deliver **LLM training** , continual learning and reinforcement learning techniques across our product portfolio
+ Embrace an upstream first mindset to help our teams become more influential in MLOps focused communities such as **Kubeflow**
+ Liaise with stakeholder groups and cross-functional teams to deliver new product features
+ Ensure non-functional requirements including security, resiliency, and maintainability are met
+ Use **CI/CD best practices** to deliver solutions as productization efforts into **OpenShift AI**
+ Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members
+ Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements
+ Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts
+ Give thoughtful and prompt code reviews
+ Represent **OpenShift AI** in external engagements including industry events, customer meetings, and open source communities
+ Mentor, influence, and coach a distributed team of engineers
**What you will bring**
+ Advanced experience in **Python and Go**
+ Advanced experience developing applications in **Kubernetes, OpenShift,** or other **cloud-native technologies**
+ Ability to quickly learn, adapt and guide others on using new tools and technologies
+ Proven ability to innovate and a passion for staying at the forefront of technology.
+ Experience with distributed systems (especially those that run on Kubernetes) and **troubleshooting** them
+ Autonomous work ethic, thriving in a dynamic, fast-paced environment.
+ Experience providing technical leadership in a global team and delivering on a vision
+ Excellent written and verbal communication skills
+ A willingness to proactively **utilize AI-assisted development tools** such as **Cursor** and **Claude Code** for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.
+ Open to exploring and experimenting with emerging **AI technologies** relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling
+ Ability to define and scale testing, automation, and reproducibility standards across ML systems
**The following will be considered a plus:**
+ While a Bachelor's degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess
+ Understanding of how **Open Source** communities work
+ Experience working with **upstream communities**
+ Familiarity or experience with the **MLOps lifecycle** , with an emphasis on **model training**
+ Experience writing **Kubernetes/OpenShift controllers and operators**
+ Experience **writing SDKs in Python** or other languages
**About Red Hat**
Red Hat ( is the world's leading provider of enterprise open source ( software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
**Inclusion at Red Hat**
Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
**Equal Opportunity Policy (EEO)**
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
**Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.**
**Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email** ** ** **. General inquiries, such as those regarding the status of a job application, will not receive a reply.**

Are you ready to join a game-changing open-source AI platform that harnesses the power of hybrid cloud to drive innovation?
The Red Hat OpenShift AI team is looking for a Principal Machine Learning Engineer with Kubernetes and MLOps (Machine Learning Operations) experience to join our rapidly growing engineering team. Our focus is to create a platform, partner ecosystem, and community by which enterprise customers can solve problems to accelerate business success using AI. This is a very exciting opportunity to build and impact the next generation of MLOps platforms, participate in open source communities, contribute to the development of the OpenShift AI product, and be at the forefront of the exciting evolution of AI. You'll join an ecosystem that fosters continuous learning, career growth, and professional development.
In this role, you will provide key leadership to a talented team of engineers, contributing directly to projects such as Kubeflow, Ray and MLFlow with a primary focus on delivering fine tuning capabilities across the Red Hat AI product portfolio. We're looking for an individual contributor who is open to leading by example to promote a positive supporting team culture, collaborating closely with other developers, stakeholders and cross-functional teams. Embracing an upstream first mentality, you should have a passion for working in open-source communities and for developing solutions that integrate Red Hat, open-source, and partner technologies into a cohesive platform.
**What you will do**
+ Play a key leadership role within a talented group of engineers, working closely with staff engineers and architects to outline a vision and roadmap for the training and experimentation stack in **OpenShift AI**
+ Work closely with the AI Innovation team to help deliver **LLM training** , continual learning and reinforcement learning techniques across our product portfolio
+ Embrace an upstream first mindset to help our teams become more influential in MLOps focused communities such as **Kubeflow**
+ Liaise with stakeholder groups and cross-functional teams to deliver new product features
+ Ensure non-functional requirements including security, resiliency, and maintainability are met
+ Use **CI/CD best practices** to deliver solutions as productization efforts into **OpenShift AI**
+ Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members
+ Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements
+ Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts
+ Give thoughtful and prompt code reviews
+ Represent **OpenShift AI** in external engagements including industry events, customer meetings, and open source communities
+ Mentor, influence, and coach a distributed team of engineers
**What you will bring**
+ Advanced experience in **Python and Go**
+ Advanced experience developing applications in **Kubernetes, OpenShift,** or other **cloud-native technologies**
+ Ability to quickly learn, adapt and guide others on using new tools and technologies
+ Proven ability to innovate and a passion for staying at the forefront of technology.
+ Experience with distributed systems (especially those that run on Kubernetes) and **troubleshooting** them
+ Autonomous work ethic, thriving in a dynamic, fast-paced environment.
+ Experience providing technical leadership in a global team and delivering on a vision
+ Excellent written and verbal communication skills
+ A willingness to proactively **utilize AI-assisted development tools** such as **Cursor** and **Claude Code** for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.
+ Open to exploring and experimenting with emerging **AI technologies** relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling
+ Ability to define and scale testing, automation, and reproducibility standards across ML systems
**The following will be considered a plus:**
+ While a Bachelor's degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess
+ Understanding of how **Open Source** communities work
+ Experience working with **upstream communities**
+ Familiarity or experience with the **MLOps lifecycle** , with an emphasis on **model training**
+ Experience writing **Kubernetes/OpenShift controllers and operators**
+ Experience **writing SDKs in Python** or other languages
**About Red Hat**
Red Hat ( is the world's leading provider of enterprise open source ( software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
**Inclusion at Red Hat**
Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
**Equal Opportunity Policy (EEO)**
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
**Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.**
**Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email** ** ** **. General inquiries, such as those regarding the status of a job application, will not receive a reply.**

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do - and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: This job will lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Job Description: Essential Responsibilities: Lead the development and optimization of advanced machine learning models. Oversee the preprocessing and analysis of large datasets. Deploy and maintain ML solutions in production environments. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models, making necessary adjustments. Minimum Qualifications: Minimum of 8 years of relevant work experience and a Bachelor's degree or equivalent experience. Extensive experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Expertise in cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Preferred Qualification: MSc or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) Proficiency in SQL, Python and relevant ML frameworks, packages, and tools Experience with developing machine learning models at scale from inception to business impact Experience in designing ML pipelines, including model versioning, model deployment, model testing, and monitoring Experience working in a multi-cultural and multi-location organization - an advantage Team player, responsible, delivery-oriented, details-oriented Outstanding communication skills Subsidiary: PayPal Travel Percent: 0 PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit . Who We Are: Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at . Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply. PayPal is on a mission to revolutionize commerce globally. We're driving our company, industry, and society forward with vision and velocity. With our commitment to excellence, innovation, and talent, the possibilities are limitless. Learn more at Learn more about privacy-related questions or data retention. If you would like your profile to be deleted from our system, please let us know Please note that this site has updated features that can't run on older versions of Internet Explorer. Please use IE11 or MS Edge for an optimal experience. When applying for a job you are required to create an account, if you have already created an account - click Sign In. Creating an account will allow you to follow the progress of your applications. Our system does have some requirements that will help us process your application, below are some guidelines for creation of your account: Provide full legal First Name/Family Name - this is important for us to ensure our future hires have the right system set up. Please Capitalize first letter of your First and Last Name. Please avoid using fully capitalized text for your First and/or Last Name. NOTE: If your name is hyphenated or has multiple capitalization, please use the same format as your government ID. Please note that this site has updated features that can't run on older versions of Internet Explorer. Please use IE11 or MS Edge for an optimal experience.

Company:

0603 PayPal Europe Services Limited

Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years):

Senior (5+ years of experience)

Tagged as: Industry , Ireland , Machine Learning , NLP

**Company Description**
At Red Hat, we connect an innovative community of customers, partners, and contributors to deliver an open source stack of trusted, high-performing solutions. We offer cloud, Linux, middleware, virtualization, and AI technologies, together with award-winning global customer support, consulting, and implementation services. Red Hat is a rapidly-growing company supporting more than 90% of Fortune 500 companies.
**Job Summary**
At Red Hat, our commitment to open source innovation extends beyond our products - it's embedded in how we work and grow. Red Hatters embrace change - especially in our fast-moving technological landscape - and have a strong growth mindset. That's why we encourage our teams to proactively, thoughtfully, and ethically use AI to simplify their workflows, cut complexity, and boost efficiency. This empowers our associates to focus on higher-impact work, creating smart, more innovative solutions that solve our customers' most pressing challenges.
Red Hat's Global Engineering team is looking for an experienced Machine Learning Engineer to join the **Agentic and AI Engineering Tools team** . In this role, you'll contribute directly to Red Hat's rapidly growing AI/ML family of products and will be responsible for the investigation, evaluation, integration, and development of open source AI/ML systems and functionality to improve the overall development and operations of both Red Hat's downstream AI products and upstream open source AI projects.
The ideal candidate will have a proven background in delivering enterprise level AI/ML solutions. As part of your responsibilities, you will regularly participate in design reviews, contribute to the productization of major features, and support bug fixes.
This hybrid position reports directly to the Manager of Software Engineering. You must have the ability to partner collaboratively in our Waterford, Ireland office at least 3 days per week.
**What you will do:**
+ Prepare structured and unstructured data for analysis, including handling missing values and outliers.
+ Design and train ML models using established frameworks and architectures.
+ Assist with building and integrating model serving solutions to accommodate a variety of model architectures and accelerators.
+ Partner with Data Scientists, ML Engineers, Software Engineers, and Product Management to identify and incorporate customer needs and goals.
+ Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.
+ Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.
**What you will bring:**
+ 3+ years of experience as a Machine Learning Engineer or similar role.
+ Experience in **ML and AI** , or other deep learning-related independent project work with evidence of completion.
+ Experience with **data ingestion** or processing tools and frameworks, such as **Docling, Spark, Pandas, Feast, Airflow, NumPy** .
+ Experience with retrieval augmented generation approaches, including vector databases and dense retrieval methods.
+ Knowledgeable in various synthetic data generation approaches, such as GANs, VAEs, or rule-based systems.
+ Experience writing unit tests for ML models and associated components.
+ Knowledgeable with Jupyter notebooks and Python development.
+ Experience cleaning and preparing structured datasets for training and analysis.
+ Experience creating basic features to enhance data utility for machine learning models.
+ Knowledgeable in using predefined metrics to assess model accuracy and identify improvements.
+ Experience contributing to the deployment of machine learning models into test environments.
+ Experience documenting processes and maintaining records of datasets and models used.
+ Knowledgeable in understanding and implementing concepts outlined in research papers.
+ Ability to quickly learn and use new tools and technologies.
**Nice to Haves:**
+ Experience working with Kubernetes/OpenShift and containers.
+ Experience with AI and Machine Learning platforms, tools, and frameworks, such as PyTorch, LLaMA.cpp, vLLM, and Kubeflow.
+ Experience with writing and publication of research papers.
+ Understanding of DevOps methodology, Scrum, and/orJira.
+ Bachelor's degree or higher in Machine Learning (ML), Natural Language Processing (NLP) or related discipline, or equivalent years of experience.
#LI-PM1
#AI-HIRING
**About Red Hat**
Red Hat ( is the world's leading provider of enterprise open source ( software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
**Inclusion at Red Hat**
Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
**Equal Opportunity Policy (EEO)**
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
**Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.**
**Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email** ** ** **. General inquiries, such as those regarding the status of a job application, will not receive a reply.**

Overview

Machine Learning Engineer - PyTorch / C++ / NPU Architecture

We are partnered with a global semiconductor leader seeking a Machine Learning Engineer to join their NPU Architecture Team. This is a chance to shape the future of energy-efficient ML technology used in billions of devices worldwide.

Responsibilities

• Develop and enhance ML compilers using PyTorch and C++ for advanced NPU architecture
• Design and implement quantization techniques to improve model efficiency and accuracy
• Optimize ML workloads for high performance and low power consumption
• Collaborate with strategic customers to deliver tailored ML solutions
• Partner with architecture and software teams to integrate new ML technologies
• Research, prototype, and implement compiler and system-level optimizations

Qualifications

• Strong background in PyTorch and C++ programming
• Experience in ML compiler development, quantization, and workload analysis
• Familiarity with TensorFlow or ONNX a plus
• Solid understanding of hardware-aware ML solutions and performance optimization
• Excellent problem-solving, collaboration, and communication skills

Preferred Qualifications

• Experience deploying ML models on NPUs, GPUs, or TPUs
• Understanding of system-level architecture and low-level programming
• Research or publications in ML-related fields

How to apply

If this sounds interesting and you'd like to learn more, click the link below to apply or email me with a copy of your CV on

Privacy and data processing

By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice ()

Company

European Tech Recruit

Requirements

• Language requirements
• Specific requirements
• Educational level
• Level of experience (years)
• Senior (5+ years of experience)

Tagged as: Industry, Ireland, Machine Learning, NLP

Machine Learning Engineer - Tooling Experience (Waterford, Ireland) page is loaded Machine Learning Engineer - Tooling Experience (Waterford, Ireland) Apply remote type Hybrid locations Waterford City time type Full time posted on Posted Yesterday job requisition id R- Company Description

At Red Hat, we connect an innovative community of customers, partners, and contributors to deliver an open source stack of trusted, high-performing solutions. We offer cloud, Linux, middleware, virtualization, and AI technologies, together with award-winning global customer support, consulting, and implementation services. Red Hat is a rapidly-growing company supporting more than 90% of Fortune 500 companies.

Job Summary

At Red Hat, our commitment to open source innovation extends beyond our products - it's embedded in how we work and grow. Red Hatters embrace change - especially in our fast-moving technological landscape - and have a strong growth mindset. That's why we encourage our teams to proactively, thoughtfully, and ethically use AI to simplify their workflows, cut complexity, and boost efficiency. This empowers our associates to focus on higher-impact work, creating smart, more innovative solutions that solve our customers' most pressing challenges.

Red Hat's Global Engineering team is looking for an experienced Machine Learning Engineer to join the Agentic and AI Engineering Tools team . In this role, you'll contribute directly to Red Hat's rapidly growing AI/ML family of products and will be responsible for the investigation, evaluation, integration, and development of open source AI/ML systems and functionality to improve the overall development and operations of both Red Hat's downstream AI products and upstream open source AI projects.

The ideal candidate will have a proven background in delivering enterprise level AI/ML solutions. As part of your responsibilities, you will regularly participate in design reviews, contribute to the productization of major features, and support bug fixes.

This hybrid position reports directly to the Manager of Software Engineering. You must have the ability to partner collaboratively in our Waterford, Ireland office at least 3 days per week.

What you will do:

• Prepare structured and unstructured data for analysis, including handling missing values and outliers.

• Design and train ML models using established frameworks and architectures.

• Assist with building and integrating model serving solutions to accommodate a variety of model architectures and accelerators.

• Partner with Data Scientists, ML Engineers, Software Engineers, and Product Management to identify and incorporate customer needs and goals.

• Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.

• Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.

What you will bring:

• 3+ years of experience as a Machine Learning Engineer or similar role.

• Experience in ML and AI , or other deep learning-related independent project work with evidence of completion.

• Experience with data ingestion or processing tools and frameworks, such as Docling, Spark, Pandas, Feast, Airflow, NumPy .

• Experience with retrieval augmented generation approaches, including vector databases and dense retrieval methods.

• Knowledgeable in various synthetic data generation approaches, such as GANs, VAEs, or rule-based systems.

• Experience writing unit tests for ML models and associated components.

• Knowledgeable with Jupyter notebooks and Python development.

• Experience cleaning and preparing structured datasets for training and analysis.

• Experience creating basic features to enhance data utility for machine learning models.

• Knowledgeable in using predefined metrics to assess model accuracy and identify improvements.

• Experience contributing to the deployment of machine learning models into test environments.

• Experience documenting processes and maintaining records of datasets and models used.

• Knowledgeable in understanding and implementing concepts outlined in research papers.

• Ability to quickly learn and use new tools and technologies.

Nice to Haves:

• Experience working with Kubernetes/OpenShift and containers.

• Experience with AI and Machine Learning platforms, tools, and frameworks, such as PyTorch, LLaMA.cpp, vLLM, and Kubeflow.

• Experience with writing and publication of research papers.

• Understanding of DevOps methodology, Scrum, and/orJira.

• Bachelor's degree or higher in Machine Learning (ML), Natural Language Processing (NLP) or related discipline, or equivalent years of experience.

About Red Hat

Red Hat is the world's leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Inclusion at Red Hat
Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.
Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email . General inquiries, such as those regarding the status of a job application, will not receive a reply.

About Red Hat

We're the world's leading provider of enterprise open source solutions-including Linux, cloud, container, and Kubernetes. We deliver hardened solutions that make it easier for enterprises to work across platforms and environments, from the core datacenter to the network edge.

Open unlocks the world's potential

At Red Hat, our commitment to open source extends beyond technology into virtually everything we do. We collaborate and share ideas, create inclusive communities, and welcome diverse perspectives from all Red Hatters, no matter their role. It's what makes us who we are.

Some of the most knowledgeable and passionate people in the technology industry work here. Whether we're building software, championing our products, or training new associates, we're collaborating openly to make a difference in the world of open source and beyond.

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

Are you ready to lead the charge in transforming enterprise AI initiatives? As a Senior Machine Learning Operations Engineer at McKesson, you'll be at the forefront of our big bet AI projects, harnessing the power of machine learning to drive innovation across the organization. You'll take the helm in the full project lifecycle, focusing on deploying and managing solutions within our MLOps enterprise platform.

This is a 12-month Fixed Term Contract role in which you will be part of a dynamic team dedicated to crafting robust machine learning applications at scale. Your expertise will guide the detailed technical design, development, and implementation of state-of-the-art ML solutions. You'll not only design and review model architectures but also ensure the seamless integration and performance of these applications. If you're passionate about pushing the boundaries of what's possible with AI, this position offers a playground of opportunities.

What You'll Do:

End-to-End ML Engineering: Engage in a wide array of ML engineering activities, from Ops and Modeling to Data Engineering, ensuring a comprehensive approach to enterprise solutions.

Innovative Model Design: Collaborate with business leadership and Data Science teams to design, build, and deliver ML models that tackle real-world business challenges.

Strategic Infrastructure Decisions: Utilize your deep understanding of ML techniques to inform infrastructure choices, considering model types, data selection, hyperparameter tuning, and validation.

Complex Problem Solving: Write and test application code, develop and validate ML models, and automate testing and deployment processes to tackle complex problems.

Model Management: Retrain, maintain, and monitor models in production, ensuring they perform optimally and adapt to changing data landscapes.

Cloud-Based Optimization: Leverage cloud-based architectures to deliver scalable and efficient ML models.

Data Pipeline Construction: Develop optimized data pipelines to support ML models with high-quality data in collaboration with data engineering.

CI/CD Excellence: Implement continuous integration and deployment best practices, including test automation and monitoring, to ensure successful model deployments.

Governance and Best Practices: Manage code to minimize vulnerabilities, govern models from a risk perspective, and adhere to Responsible and Explainable AI principles.

Programming Proficiency: Utilize Python, Rust, C++ to develop high-quality, maintainable code.

Basic Qualifications:
• 7+ years industry experience

4+ years programming experience with Python. Rust and C++ are nice to have.

3+ years designing and building data-intensive solutions with distributed computing.

2+ years with industry-recognized ML frameworks (scikit-learn, PyTorch, TensorFlow, Spark, Ray).

1+ year productionizing, monitoring, and maintaining models.

Bachelor's degree or equivalent work experience.

Preferred Qualifications:

1+ years building, scaling, and optimizing ML systems.

1+ years in data gathering and preparation for ML models.

2+ years developing performant, resilient, and maintainable code.

Experience with Azure for developing, deploying, and monitoring of production ML solutions.

Advanced degree in computer science, electrical engineering, mathematics, or a related field.

3+ years with distributed file systems or multi-node database paradigms.

3+ years building production-ready data pipelines for ML models.

Experience with Terraform and DevOps principles, including CI/CD pipelines.

Join us at McKesson, where your expertise will shape the future of enterprise AI!

At McKesson, we care about the well-being of the patients and communities we serve, and that starts with caring for our people. That's why we have a Total Rewards package that includes comprehensive benefits to support physical, mental, and financial well-being. Our Total Rewards offerings serve the different needs of our diverse employee population and ensure they are the healthiest versions of themselves.

As part of Total Rewards, we are proud to offer a competitive compensation package at McKesson. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered.

Our Base Pay Range for this position

€69,000 - €115,000

Company:

MCKESSON

Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years):

Senior (5+ years of experience)

Tagged as: Industry , Ireland , Machine Learning , NLP