At a Glance
- Tasks: Lead the design and deployment of innovative ML solutions in Generative AI.
- Company: Join Expedia Group, a leader in global travel technology and innovation.
- Benefits: Enjoy travel perks, flexible work options, and generous time-off.
- Other info: Be part of a community that values collaboration and celebrates differences.
- Why this job: Shape the future of travel while working in a diverse and inclusive culture.
- Qualifications: 5+ years in machine learning with expertise in Generative AI and strong coding skills.
The predicted salary is between 48000 - 72000 £ per year.
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View more categories View less categories Sector Travel and Tourism Role Senior Executive Contract Type Permanent Hours Full Time
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.
Team Overview
Join Expedia Group`s Supply Machine Learning (Supply AI) team, where we build intelligent systems that power our global supply partners-hotels, vacation rentals, and more. This role is a Tech Lead position within the Partner Intelligence Pod, focused on developing cutting-edge ML solutions, with a strong emphasis on Generative AI (GenAI). You`ll help shape the future of partner-facing experiences and drive innovation at scale.
Senior Machine Learning Scientist (Tech Lead) - Generative AI & Partner Intelligence
In this role, you will:
- Lead the design, development, and deployment of end-to-end ML solutions, with a focus on GenAI applications (~50% of role scope)
- Act as a technical advisor and mentor to other ML scientists, guiding best practices and fostering a culture of innovation
- Collaborate with Product Managers to define ambiguous problem spaces, co-create requirements, and drive experimentation
- Build and optimize production-grade ML pipelines using tools like Databricks, Spark, and cloud-native infrastructure
- Apply a wide range of ML techniques including deep learning, NLP, ranking, clustering, and forecasting
- Translate complex business needs into scalable ML solutions that directly impact partner engagement and platform intelligence
- Contribute to the technical strategy of the Partner Intelligence Pod and help shape the roadmap for ML innovation
Experience and qualifications:
- 5+ years of hands-on experience in machine learning, with a proven track record of delivering production-ready ML systems
- Experience with full implementation of a Generative AI application is highly desirable
- Strong expertise in Generative AI, LLMs, or related NLP technologies
- Proficiency in Python and/or Scala; experience with ML libraries such as TensorFlow, PyTorch, HuggingFace, or scikit-learn
- Experience with Databricks, distributed data systems (e.g., Spark, Hadoop), and cloud platforms (AWS, GCP, or Azure)
- Ability to thrive in ambiguous environments, working closely with cross-functional teams to define and deliver impactful solutions
- Strong communication skills with the ability to influence stakeholders and explain technical concepts to non-technical audiences
- Degree in Computer Science, Statistics, Engineering, or a related field-or equivalent practical experience (Formal education is not required if you demonstrate strong applied ML expertise)
Bonus Points For:
- Experience working in partner- or supply-side platforms (e.g., B2B SaaS, marketplaces)
- Background in consulting, research labs, or tech companies with applied ML experience
- Familiarity with end-to-end ML lifecycle, including model monitoring, retraining, and MLOps best practices
#LI-BA1
Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee`s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.
Accommodation requests
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.
Expedia Group\'s family of brands includes: Brand Expediareg;, Hotels.comreg;, Expediareg; Partner Solutions, Vrboreg;, trivagoreg;, Orbitzreg;, Travelocityreg;, Hotwirereg;, Wotifreg;, ebookersreg;, CheapTicketsreg;, Expedia Group Media Solutions, Expedia Local Expertreg;, CarRentals.com, and Expedia Cruises. 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50
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 who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.
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.CompanyWho we are
We are travelers and technologists. We work across time zones, hemispheres, cultures, and languages. We thrive on breaking things down and building them back up again until they\'re even better.
We know travel can be hard. But we also know it\'s worth it every time. And because we believe travel is a force for good, we take our roles seriously. We\'re here to build great products and create connections that truly bring good into the world.
Accommodations and adjustmentsWere 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.
We\'re a diverse company, that feels like a communityWhen you join Expedia Group you become part of a global network of passionate travelers and technologists. Everyone is welcome here, and we take purposeful steps to create and nurture a diverse, open culture.
We find meaning in the work we do: together, we can broaden horizons, strengthen connections, and bridge divides.
Were a truly global company, with offices on almost every continent. Our hybrid working policy empowers our employees to enjoy the benefits of remote working while staying connected to their colleagues.
No matter where you are or where you dream of being weve got opportunities for you to explore.
Our industry-leading benefits package enables you to create a fulfilling career while staying healthy, happy, and well.
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#J-18808-LjbffrSenior Machine Learning Scientist (Tech Lead) - Generative AI & Partner Intelligence (London) employer: ENGINEERINGUK
Expedia Group is an exceptional employer that prioritises its employees' well-being and growth, offering a comprehensive benefits package that includes travel perks, generous time-off, and career development resources. With a vibrant and inclusive work culture in London, employees are encouraged to innovate and collaborate, making it a rewarding environment for those passionate about shaping the future of travel through cutting-edge technology. Join us to be part of a diverse community where your contributions truly matter and where we celebrate each other's successes.
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