Hybrid ML Engineer (Dublin) – Cloud & Data Science

CarTrawler group; Dublin; Hybrid; EUR 75,000 - 120,000; Full time

Job summary

CarTrawler is hiring an ML Engineer to build and improve tools powering Data Science solutions. You’ll work with engineers and data scientists to translate challenges into practical software solutions using Python and cloud/container tech.

You’ll contribute to deployment, testing and monitoring pipelines, maintain scalable Data Science platforms, and share progress with teams. A hybrid Dublin role awaits with onsite days and a strong focus on collaboration.

Qualifications

• Foundation in software engineering via degree or relevant internship or industry experience.
• Strong Python programming and data science library familiarity.
• Understanding of modern development practices including Git, automated testing and CI/CD.
• Exposure to cloud and container technologies (AWS/Azure, Docker, Kubernetes).

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 understand challenges and develop practical technical solutions.
• Support the development and deployment of ML solutions, contributing to automated delivery pipelines, testing, monitoring and performance improvements.
• Maintain and enhance existing Data Science platforms, tools and Python libraries to keep systems reliable, efficient and scalable.
• Write clean, maintainable code and participate in code reviews, applying engineering best practices with support from experienced colleagues.
• Explore new ideas and technologies, contribute to proof-of-concept projects and share progress and learnings with colleagues across the business.

Skills

Python

Software engineering

Git

CI/CD

APIs

SQL

Education

Bachelor's degree in Computer Science, Engineering, Mathematics or related field

Tools

AWS

Azure

Docker

Kubernetes

Job description

CarTrawler is hiring an ML Engineer to build and improve tools powering Data Science solutions. You’ll work with engineers and data scientists to translate challenges into practical software solutions using Python and cloud/container tech.

You’ll contribute to deployment, testing and monitoring pipelines, maintain scalable Data Science platforms, and share progress with teams. A hybrid Dublin role awaits with onsite days and a strong focus on collaboration.