Senior Machine Learning Scientist

Expedia Group; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

Expedia Group is seeking a Senior Machine Learning Scientist to join the Lodging Search Ranking AI team within the Expedia Product & Technology division. You will design, develop, and deploy ML models to power lodging search and personalized rankings across multiple brands and business lines.

You will lead end-to-end scientific work, collaborating with engineers, product, and business partners to integrate ML solutions into scalable production systems, with measurable impact via A/B testing and

Qualifications

• 8+ years of relevant professional experience
• Ownership of machine learning solutions from problem definition to production
• Hands-on coding experience in scientific and production environments
• Experience deploying ML solutions with cross-functional partners

Responsibilities

• Design, develop, and apply ML solutions for personalization, product, and business problems
• Lead end-to-end scientific work: problem formulation, data exploration, feature engineering, modeling, evaluation, and iteration
• Collaborate with engineers, product, and business stakeholders to integrate ML into services and workflows
• Use strong technical judgment to choose methods, validate outcomes, and improve model performance
• Safely integrate and operate AI/ML solutions in production environments
• Stay informed about advancements in recommender systems and relevance algorithms

Skills

Machine learning

Experimentation

Data analysis

Cross-functional

Production systems

Education

Bachelor's degree in Computer Science or related field

Job description

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.

Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.

About The Team

Our Expedia Product & Technology division builds innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A unified, singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences for the traveler and our partners that drive loyalty and customer satisfaction.

The Senior Machine Learning Scientist sits on the Lodging Search Ranking AI team inthe Expedia Product & Technology division of Expedia Group.At the heart of the 3-side marketplace (the traveler, the property owners and the platform), this team develops and optimizesranking modelswith state-of-the-art machine learning/genAItechniques topowerlodgingsearchand personalizedlodging ranking/recommendations for the multiple brands and lines of business in our portfolio.

In this role, yourexpertiseand passion for innovation, developingcutting-edgetechnology and implementing industry-leading solutions, will improve the experience of millions of travelers and travel partners each year.This is an appliedscientistrole: your models will be deployed to our productionsystems,and your results will be measured objectively via A/B testing, directlyimpactingour business results. We collaborate closely with the analytics,product, andengineeringteams.

In this role, you will:

• Design, develop, and apply machine learning solutions to real-world personalization, product, and business problems, translating ambiguous opportunities into scalable models, experiments, and production-ready capabilities
• Drive end-to-end scientific work across problem formulation, data exploration, feature engineering, model development, evaluation, and iteration, with strong attention to measurable impact
• Partner closely with engineers, product, and business stakeholders to integrate machine learning solutions into services and workflows, including system design, API design, and data modelling considerations where applicable
• Use strong technical judgment to selectappropriate methods,validateoutcomes, and improve model performance, reliability, and operational quality across multiple problem domains
• Safely integrate andoperateAI/ML-enabled solutions that improve outcomes, including familiarity with AI-driven systems, tools, orworkflowsandapplyingAI/ML concepts to real world products
• Stay informed about relevant advancements in recommender systems and relevance algorithms through ongoing research and learning
• Contribute deep technicalexpertiseacross related domains, helping raise scientific and engineering quality through experimentation, documentation, mentoring, and reusable approaches that support broader team effectiveness

Minimum Qualifications

• Bachelor's degree in Computer Scienceor a related technical field; or Equivalent related professional experience
• 8+ years of relevant professional experience
• Demonstrated ownership of machine learning solutions at the service or multi-service level, including problem definition, model development, evaluation, and operationalization within a product or technical domain
• Strong foundationin machine learning methods, statistical analysis, experimentation, and data-driven decision making, with hands-on coding experience in scientific and production-oriented environments
• Experience working with cross-functional partners to deploy technical solutions, with core expectations in scalable model development, data modelling, and integration into software systems

Preferred Qualifications

• Advanceddegreein Machine Learning, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field
• Experience delivering machine learning solutions at scale, including architecture considerations, production monitoring, model lifecycle management, and operational excellence in live environments
• Demonstrated ability to influence technical direction within a domain through rigorous experimentation, strong scientific reasoning, pragmatic solution design, and clear communication with cross-functional partners
• Strong experience with recommendation, ranking, retrieval, search, personalization, ads, marketplace, e-commerce, or similarly complex applied ML systems
• Experience with neural recommendation systems, sequential or session-based recommendation, transformer-based recommenders, semantic retrieval, generative retrieval, orrepresentationlearning at scale

Accommodation requests

Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.

About Expedia Group

Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.

Important notice

Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.

Equal Opportunity

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.