Machine Learning Engineer

Posted 3 Days Ago
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Dublin, IRL
Hybrid
Entry level
Software
The Role
Build and maintain tools, services, platforms, and Python libraries supporting data science and machine learning solutions. Collaborate with engineers, data scientists, and business teams; contribute to deployment pipelines, testing, monitoring, performance improvements, proof-of-concept projects, and reliable cloud-based systems using Python, AWS, Docker, and Kubernetes.
Summary Generated by Built In
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.

Skills Required

  • Degree in Computer Science, Engineering, Mathematics, or a related field, or relevant internship or industry experience
  • Experience writing clean, structured Python code
  • Familiarity with data science and machine learning libraries
  • Understanding of version control with Git
  • Understanding of automated testing
  • Understanding of object-oriented programming
  • Understanding of continuous integration and delivery
  • Exposure to cloud and container technologies such as AWS, Azure, Docker, or Kubernetes
  • Basic SQL skills
  • Understanding of application programming interfaces and software integration
  • Strong communication and collaboration skills
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The Company
HQ: Dublin, County Dublin
469 Employees
Year Founded: 2004

What We Do

The leading global B2B provider of car rental and mobility solutions to the travel industry. Our purpose is driving successful partnerships. CarTrawler’s end-to-end technology platform expands our airline and travel partners’ offering to their customers, creating substantial ancillary revenue opportunities. We provide unrivalled breadth and depth of content worldwide, including car rental, private airport transfer and ride-hailing services. CarTrawler creates innovative, data-led solutions for some of the largest travel brands in the world, including United Airlines, American Express, easyJet, Alaska Airlines, SWISS, Hotels.com and Emirates. As a B2B company we focus solely on helping our airline and travel partners build their brands, not our own.

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