Quick overview
SeniorityMid Senior
Employment typeFull Time
Work modeHybrid
LocationDublin, Ireland
ForecastingMachine Learning
Job description
Tech that takes you placesWe’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.
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.