Hybrid ML Engineer - Data Science & Deployment (Dublin)

CarTrawler group; Dublin; Hybrid; EUR 70,000 - 110,000; Full time

Job summary

CarTrawler group in Ireland is seeking a curious ML Engineer to build and enhance the tech behind our data science solutions. You’ll work with engineers and data scientists to develop reliable tools, support ML deployments and improve performance across platforms.

The role welcomes you to explore cloud technologies and modern containers while contributing to meaningful projects. A collaborative team culture and opportunities to grow your engineering skills await.

Qualifications

• Degree in CS, Engineering, Mathematics or related field or equivalent experience.
• Strong Python skills and familiarity with data science libraries.
• Good Git usage and CI/CD understanding.
• Experience with cloud and container technologies (AWS/Azure, Docker, Kubernetes).
• Understanding of data, APIs and production system concepts.

Responsibilities

• Build and improve tools and services powering Data Science solutions using Python, AWS, Docker and Kubernetes.
• Collaborate with engineers, data scientists and business teams to address challenges and create practical solutions.
• Support development and deployment of ML solutions, contributing to automated pipelines, testing and monitoring.
• Maintain and enhance Data Science platforms and Python libraries for reliability and scalability.
• Write clean, maintainable code and participate in code reviews using engineering best practices.
• Explore new ideas and technologies and share progress with colleagues.

Skills

Software engineering fundamentals

Python programming

Git & CI/CD

Cloud computing

Docker & Kubernetes

SQL basics

APIs

Collaborative mindset

Education

CS/Engineering/Math degree or equivalent

Tools

AWS

Azure

Docker

Kubernetes

Job description

CarTrawler group in Ireland is seeking a curious ML Engineer to build and enhance the tech behind our data science solutions. You’ll work with engineers and data scientists to develop reliable tools, support ML deployments and improve performance across platforms.

The role welcomes you to explore cloud technologies and modern containers while contributing to meaningful projects. A collaborative team culture and opportunities to grow your engineering skills await.