Senior ML Platform Engineer: Python, MLOps & Cloud

Liberty Information Technology Limited; Galway; Hybrid; EUR 70,000 - 110,000; Full time

Job summary

Liberty Information Technology Limited is seeking a skilled ML/AI Engineer to join a team delivering production-ready ML platforms. You will develop Python services, contribute to MLOps and cloud-native solutions, and build intuitive GUIs with React for technical and business users.

You’ll collaborate with product owners and UX designers, improve platform reliability, and grow your skills across ML deployment, governance and observability in a fast-paced environment.

Qualifications

• Strong Python development experience.
• Experience applying AI in the software delivery cycle including assistants and coding agents.
• Experience with observability and monitoring tools.
• Experience building modern web apps with JavaScript and React.
• Experience with Kubernetes and cloud-native tech.
• Experience with DevOps, CI/CD and agile delivery.
• Experience collaborating with Product Owners, UX Designers and stakeholders.

Responsibilities

• Be part of a team enhancing platform and GUI experience.
• Develop maintainable Python code to expand platform capabilities.
• Build front-end experiences using JavaScript and React.
• Use observability tools to improve reliability and UX.
• Contribute to Kubernetes-based cloud-native solutions.
• Champion code quality, testing and CI/CD.
• Write clean code and improve team standards.
• Own and deliver well-defined stories and features.
• Mentor junior team members on features and components.

Skills

Python development

AI in software delivery

Observability

React front-end

Kubernetes

DevOps CI/CD

Cross-functional collaboration

Tools

Kubernetes

CI/CD tools

Job description

Liberty Information Technology Limited is seeking a skilled ML/AI Engineer to join a team delivering production-ready ML platforms. You will develop Python services, contribute to MLOps and cloud-native solutions, and build intuitive GUIs with React for technical and business users.

You’ll collaborate with product owners and UX designers, improve platform reliability, and grow your skills across ML deployment, governance and observability in a fast-paced environment.