London, England, United Kingdom · On-site
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 adv…
Skills: Machine Learning, Python, Ranking Models, Recommendation Systems, A/B Testing
London, England, United Kingdom · Hybrid
$48k–$89k/yr
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London, England, United Kingdom · Hybrid
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London, England, United Kingdom · Hybrid
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London, England, United Kingdom · Hybrid
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London, England, United Kingdom · On-site
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Simply BusinessLondon, England, United Kingdom · Hybrid
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London, England, United Kingdom · On-site
Amazon's Fleet Procurement and Capacity Planning (FPAC) team manages a large-scale international commercial vehicle fleet across 10 European markets. This fleet depends on accurate, timely data flowing between two Fleet …
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Pixi Inc.London, England, United Kingdom · On-site
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London, England, United Kingdom · On-site
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London, England, United Kingdom · On-site
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London, England, United Kingdom · Hybrid
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London, England, United Kingdom · On-site
IQVIA™ is The Human Data Science Company™, focused on using data and science to help healthcare clients find better solutions for their patients. IQVIA offers a broad range of solutions that harness advances in healthcar…
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MMSLondon, England, United Kingdom · Remote OK
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London, England, United Kingdom · On-site
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London, England, United Kingdom · On-site
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London, England, United Kingdom · Hybrid
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London, England, United Kingdom · Hybrid
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London, England, United Kingdom · Hybrid
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London, England, United Kingdom · Hybrid
Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Product team defines how millions of people experience Deliveroo, turning complex marketpla…
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Develop, implement, and optimize machine learning models for lodging search and ranking from problem framing through production deployment. Collaborate with cross-functional teams to design experiments and evaluate model performance using statistical rigor.
Requires a bachelor's degree in Computer Science or a related field and at least 2 years of professional experience. Candidates must be proficient in Python and possess a solid grounding in core machine learning concepts and real-world dataset handling.
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.
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 Machine Learning Scientist II role 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:
Develop, implement, and optimize machine learning models that power data‑driven features and products, from problem framing through production deployment and iteration.
Design and evaluate experiments, offline evaluations, and A/B tests to measure model impact, using statistical rigor to compare alternatives and drive decisions.
Collaborate with engineers, product managers, and analysts to translate ambiguous business problems into well‑scoped ML solutions, including data requirements, modeling approach, and success metrics.
Apply strong data modeling, feature engineering, and model selection skills across multiple domains, ensuring models are robust, explainable, and performant at scale.
Safely integrate and operate AI/ML‑enabled solutions that improve outcomes, including monitoring model performance, detecting degradation, and driving continuous improvements in production.
Demonstrate familiarity with AI‑driven systems, tools, or workflows and applying AI/ML concepts to real‑world products, contributing reusable methodologies and best practices that can be leveraged across teams and problem spaces.
Minimum Qualifications:
Bachelor’s degree in Computer Science or a related technical field; or Equivalent related professional experience.
2+ years of relevant professional experience.
Proven ability to own ML solutions for a well‑defined service or product area, including data exploration, model development, offline and online evaluation, and partnering with engineering for integration.
Proficiency in at least one major programming language used for ML (such as Python) and common ML/AI frameworks and tooling for model development, training, and evaluation.
Solid grounding in core ML concepts (e.g., supervised and unsupervised learning, model generalization, overfitting, evaluation metrics), and experience working with real‑world, noisy datasets.
Preferred Qualifications:
Advanced degree (Master’s or PhD) in a quantitative field with a focus on machine learning, statistics, or AI, with experience applying research ideas to practical, large‑scale problems.
Experience designing and operating ML systems at scale, including feature pipelines, model training workflows, and online inference, with attention to latency, reliability, and cost.
Demonstrated track record of leading the end‑to‑end lifecycle of ML solutions within a product or domain, from ideation and prototyping through experimentation, launch, and ongoing optimization.
Strong background in experimentation and data‑driven decision making, including designing robust A/B tests, interpreting results, and translating findings into product and model changes.
Familiarity with AI‑driven systems, tools, or workflows and applying AI/ML concepts to real world products, including experience with at least one of: recommendation systems, ranking, search, personalization, forecasting, or optimization models.
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.
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.
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/.
Expedia Group, Inc. (NASDAQ: EXPE) is the global travel marketplace with one purpose: to help travelers explore the world, one journey at a time. Expedia Group™ connects travelers, partners, and advertisers through its trusted brands, leading technology, and rich first-party data, delivering predictive, personalized experiences that shape the future of travel. Expedia Group’s ecosystem includes three flagship consumer brands – Expedia®, Hotels.com®, and Vrbo® – the largest B2B travel business, and a premier advertising network. Guided by an experienced and passionate global team, Expedia Group helps millions of travelers in more than 70 countries explore the world with confidence and ease. We’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. If you require an accommodation or adjustment for any part of the application or recruitment process, please let us know by completing our Accommodation Request Form or contacting your recruiter. Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident about who they are. We do not send job offers via email, or any other messaging tools, to individuals we have not had prior contact with. Our email domain is @expediagroup.com. Our official careers website, where you can to find and apply for job openings, is careers.expediagroup.com/jobs. If you require customer service support to cancel, change or ask about a refund for your trip, you can connect with our 24/7 Virtual Agent through the following links: Expedia: https://www.expedia.com/helpcenter Hotels.com: https://service.hotels.com/en-us/ Vrbo: https://help.vrbo.com/ For additional assistance, direct message us on Twitter @ExpediaHelp with your itinerary number and email address: https://twitter.com/ExpediaHelp
Offices: 1111 Expedia Group Way W., Seattle, WA 98119, US · DLF City Phase 1 Road, Gurgaon, Haryana 122002, IN · 1 Martin Pl, Sydney, New South Wales 2000, AU · 65 Rue de la Victoire, Paris, IdF 75009, FR · 63 Rue de Bresoles, Montreal, QC H2Y 1V7, CA
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