Machine Learning Engineer III

Expedia, Inc.; City of Westminster; On-site; GBP 70,000 - 90,000; Full time

Job summary

A global travel technology company is seeking a Machine Learning Engineer to design and maintain large-scale machine learning pipelines. The role requires strong programming skills, expertise in Spark, and proficiency with ML libraries. Candidates should have a degree in Computer Science or Engineering and relevant experience in production environments. Join a diverse community committed to shaping the future of travel, with a full benefits package including travel perks and career development resources.

Benefits

Exciting travel perks

Generous time-off

Parental leave

Flexible work model

Career development resources

Qualifications

• 5+ years of professional experience with a Bachelor's degree or 3+ years with a Master's degree.
• Proven experience in building and deploying ML pipelines in production environments.
• Strong understanding of software design principles and data structures.

Responsibilities

• Design, implement, and maintain large-scale machine learning pipelines.
• Collaborate with ML scientists and software engineers.
• Optimize Spark-based applications for large-scale data processing.

Skills

Python

Spark

Machine Learning

Scala

Java

Distributed Computing

Cloud Platforms (AWS, EMR)

Docker

ML Libraries (PyTorch, TensorFlow)

Workflow Management Tools (Airflow)

Education

Bachelor's or Master's degree in Computer Science or Engineering

Tools

Kubernetes

Databricks

SageMaker

Job description

Responsibilities

• Design, implement, and maintain large-scale machine learning pipelines for advertising use cases, including feature engineering, model training, validation, and deployment.
• Build real-time and batch data processing systems to support ad targeting, campaign optimization, and experimentation.
• Collaborate with ML scientists and software engineers to integrate ML models into production systems and deliver measurable business impact.
• Develop APIs and services that enable ML-driven advertising solutions across Expedia Group's global platform.
• Optimize Spark-based applications for large-scale data processing and ensure system reliability and performance.
• Implement strategies for training models on massive datasets using distributed computing and GPU acceleration.
• Contribute to design discussions and code reviews, ensuring best practices in ML engineering and software development.
• Mentor junior engineers and share knowledge within the team and broader engineering community.
• Continuously explore new technologies and methodologies to improve ML systems and advertising solutions.
• Participate in a community of practice to share and gain knowledge across the organization.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or equivalent experience.
• 5+ years of professional experience with a Bachelor's degree OR 3+ years with a Master's degree.
• Proven experience building and deploying ML pipelines in production environments.
• Strong programming skills in Python and at least one other language (e.g., Scala or Java).
• Expertise in Spark and distributed data processing frameworks.
• Proficiency with ML libraries such as PyTorch and TensorFlow.
• Experience with cloud platforms (AWS, EMR, Kubernetes, Docker) and ML platforms (Databricks, SageMaker).
• Familiarity with workflow management tools (e.g., Airflow).
• Strong understanding of software design principles, data structures, and design patterns.
• Ability to debug, test, and monitor complex systems effectively.
• Preferred: experience with real-time applications and streaming architectures.
• Preferred: knowledge of advertising technology, e-commerce, or travel industry.
• Preferred: hands-on experience with large-scale model training and optimization using GPUs or distributed systems.

Benefits and Culture

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time‑off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us.

Expedia Group's Advertising Engineering team is dedicated to building innovative solutions that empower travel advertisers to connect with millions of travelers worldwide. Our platform enables brands to leverage Expedia's global network of leading travel brands and sites, offering a diverse portfolio of advertising and sponsorship opportunities. With over 200 branded sites in 75 countries and 35 languages, we help advertisers reach 112 million monthly unique visitors.