ML Engineer II: Scalable Marketing Experimentation

Expedia, Inc.; City of Westminster; On-site; GBP 125,000 - 150,000; Full time

Job summary

A global travel technology company is seeking a Machine Learning Engineer to enhance its marketing analytics team. In this role, you will work on optimizing the production experimentation platform and develop flexible measurement tools that help drive business impact. Key responsibilities include supporting software engineering, optimizing code, and building scalable data pipelines. The ideal candidate should have strong programming skills in Python and SQL, and experience with machine learning in production environments. Join us to shape the future of travel with innovative solutions.

Benefits

Exciting travel perks

Generous time off

Parental leave

Flexible work model

Career development resources

Qualifications

• Bachelor's or Master's degree in a relevant field or equivalent professional experience.
• Proficient in Python, SQL, and PySpark for large scale data processing.
• Experience building scalable systems with ML/AI components in production.

Responsibilities

• Support software engineering teams to maintain platform performance and troubleshoot issues.
• Optimize core testing code including stratified sampling and regression frameworks.
• Build scalable data pipelines for experiment execution and analysis.

Skills

Python

SQL

PySpark

Machine Learning

Automated Testing

Version Control

Education

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

Tools

AWS

GCP

GitHub Actions

Job description

A global travel technology company is seeking a Machine Learning Engineer to enhance its marketing analytics team. In this role, you will work on optimizing the production experimentation platform and develop flexible measurement tools that help drive business impact. Key responsibilities include supporting software engineering, optimizing code, and building scalable data pipelines. The ideal candidate should have strong programming skills in Python and SQL, and experience with machine learning in production environments. Join us to shape the future of travel with innovative solutions.