Machine Learning Engineer

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

Tech that takes you places
We’re CarTrawler, the global travel tech company behind seamless connections between people, places and possibilities. From powering car rental to creating smarter ways to move, we make travel smoother for millions worldwide. Our culture is built on curiosity, collaboration and craic where every idea counts and every journey matters. Ready to make an impact? Let’s go places together.
CarTrawler’s Revenue team sits at the intersection of data, strategy and opportunity. Through dynamic pricing, forecasting and optimisation, we maximise performance across channels and markets. Our work balances analytical precision with creative experimentation turning insights into actions that drive sustainable profitability.
Your Journey starts here!
Love solving technical challenges and turning innovative ideas into real-world solutions? We’re looking for a curious and collaborative Machine Learning (ML) Engineer to help build and enhance the technology behind our Data Science solutions. You’ll work alongside experienced engineers and cross-functional teams, developing reliable tools, supporting machine learning deployments and helping our technology perform at its best. With opportunities to explore modern cloud technologies, contribute to meaningful projects and grow your engineering skills, this is a chance to make an impact while learning from a talented team.

What you’ll do as an ML Engineer

• Build and improve the tools and services that power our Data Science solutions, using technologies such as Python, AWS, Docker and Kubernetes.
• Collaborate with engineers, data scientists and business teams to understand challenges, explore opportunities and develop practical technical solutions.
• Support the development and deployment of machine learning solutions, contributing to automated delivery pipelines, testing, monitoring and performance improvements.
• Maintain and enhance existing Data Science platforms, tools and Python libraries to keep our 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.

What you’ll bring to the team

• A foundation in software engineering, gained through a degree in Computer Science, Engineering, Mathematics or a related field, or relevant internship or industry experience.
• Confidence writing clean, structured Python code, with familiarity with libraries used in data science and machine learning.
• An understanding of modern development practices, including version control with Git, automated testing, object-oriented programming and continuous integration and delivery.
• Exposure to cloud and container technologies, such as AWS, Azure, Docker or Kubernetes, alongside an interest in building reliable, scalable solutions.
• An understanding of data and software integration, including basic SQL skills, application programming interfaces (APIs) and a willingness to develop your knowledge of production systems.
• A curious, proactive and collaborative mindset, with strong communication skills, a willingness to learn from others and enthusiasm for solving problems together.

Go on, give it a go!

We know that looking for a new job can feel a bit daunting but don’t let a touch of imposter syndrome hold you back. Even if you don’t tick every box, we’d still love to hear from you! Apply today to stay connected.

At CarTrawler, we’re proud to be an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for everyone. No matter your background, identity, or life experience, if you’re passionate about what you do, you’ll be welcomed here.

Hybrid Working & Eligibility:

Our hybrid working policy requires employees to work onsite at our CarTrawler Dublin office a minimum of 2 days per week.

Applicants must have an existing right to work in Ireland without the requirement for employment permit sponsorship to be considered for this role.