Machine Learning Engineer

2 weeks ago


London, Greater London, United Kingdom Expedia Group Full time

Shape Personalized Travel Journeys with Machine Learning

Are you passionate about leveraging machine learning to create exceptional travel experiences? Do you thrive in an environment where data-driven insights fuel personalized recommendations and enhance user journeys?

If you're a skilled engineer with a deep understanding of machine learning algorithms and software development, we invite you to join our team at Expedia Group. We're dedicated to revolutionizing the travel industry by harnessing the power of AI to deliver tailored solutions that meet the unique needs of every traveler.

Your Role:

  • Collaborate closely with a talented team of machine learning engineers and scientists to bring cutting-edge models to life in production environments.
  • Design, develop, and implement scalable, high-performance systems that streamline the entire machine learning lifecycle, from data ingestion to model deployment.
  • Craft robust, maintainable code that adheres to best practices and ensures the delivery of high-quality software solutions within established timelines.
  • Champion coding excellence by advocating for rigorous testing methodologies and promoting secure, reliable, and efficient code.

Your Expertise:

  • Possess a minimum of 2 years of experience in machine learning and software engineering (Bachelor's degree) or 1+ years (Master's degree).
  • Demonstrate a proven track record of success working collaboratively within agile software development teams.
  • Have hands-on experience deploying machine learning models to production on cloud platforms.
  • Be proficient in a modern programming language and possess a strong understanding of data structures and algorithms.
  • Familiarize yourself with popular machine learning frameworks and big data technologies.
  • Gain expertise in containerization, deployment, and orchestration tools.
  • Embrace automated testing methodologies to ensure code quality and reliability.
  • Exhibit excellent communication and organizational skills.
  • Hold a degree in Computer Science or a related field.


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