Senior Machine Learning Scientist
At a glance
Senior AI Research role at Expedia. London · full-time · no salary stated · we estimate £78,230–£127,625 across the United Kingdom.
Expedia has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build machine learning models for personalization and product problems, taking unclear opportunities through testing and into production
- Run the scientific workflow from data exploration and feature design through model evaluation, iteration and impact measurement
- Work with engineering, product and business teams to connect models to services, including relevant system, API and data design
- Choose and validate methods, then improve model accuracy, reliability and operational quality across different problem areas
- Track advances in recommendation and relevance methods, and share expertise through experiments, documentation and mentoring
What you bring
- A bachelor's in computer science or a related technical area, or equivalent relevant work experience
- At least eight years of relevant professional experience
- You have owned ML solutions across definition, model building, evaluation and deployment within a product or technical area
- You bring hands-on coding, statistical analysis and experimentation skills, and have worked with partners to integrate scalable models into software
Who this fits
This senior applied-science role suits someone who can carry machine learning work from problem framing through production deployment and measurable testing. You’ll work closely with analytics, product and engineering teams, with models assessed through A/B tests.
From the employer
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 in the 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 optimizes ranking models with state-of-the-art machine learning / genAI techniques to power lodging search and personalized lodging ranking/recommendations for the multiple brands and lines of business in our portfolio.
In this role, your expertise and passion for innovation, developing cutting-edge technology and implementing industry-leading solutions, will improve the experience of millions of travelers and travel partners each year. This is an applied scientist role: your models will be deployed to our production systems, and your results will be measured objectively via A/B testing, directly impacting our business results. We collaborate closely with the analytics, product, and engineering teams.
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 select appropriate methods, validate outcomes, and improve model performance, reliability, and operational quality across multiple problem domains
- Safely integrate and operate AI/ML-enabled solutions that improve outcomes, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products
- Stay informed about relevant advancements in recommender systems and relevance algorithms through ongoing research and learning
- Contribute deep technical expertise across 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 Science or 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 foundation in 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:
- Advanced degree in 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, or representation learning 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.