Machine Learning Engineer

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-043833

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.

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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 application-assistance@redhat.com . 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.

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