National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Machine Learning Scientist III (Metasearch bidding)

Expedia Group
London
3 weeks ago
Create job alert

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.

We create and deliver an aligned, dedicated marketing strategy to fuel each Expedia Group brand's success. Since our travelers interact with us through our brands, we have a brand focus in our marketing, while leveraging the scale and efficiency we’ve built in functional expertise. 

We are looking for a Machine Learning Scientist III to use Machine Learning to help optimise hundreds of millions of dollars of Marketing spend and to help increase customer long-term value through relevant and engaging interactions. This exciting opportunity would allow you to solve a broad range of high-impact, complex problems using some of the latest Data Science techniques.

In this role, you will:

  • Utilize EG tools and marketing channels to programmatically connect users with their preferred travel products at scale, enhancing engagement and effectiveness.

  • Optimise and refine bidding strategies across multiple marketing channels to enhance performance, cost-effectiveness, and strategic capital allocation.

  • Collaborate with engineering, MetaSearch partners such as Google, trivago, and other key stakeholders to integrate and improve ML models that support efficient decision-making and scalability.

  • Tackle high-impact modelling challenges, including data scarcity and dynamic auction environments, to ensure effective programmatic solutions for travel product engagement.

  • Continuously experiment and learn to adapt strategies to emerging trends and insights, improving efficiency and outcomes.

Experience and qualifications:

  • You have 3+ years of proven experience in machine learning and statistical modelling, including building datasets, selecting and engineering features, and developing and optimising algorithms.

  • You are a skilled programmer with a strong command of major machine learning languages such as Python or Scala, and have expertise in utilising statistical and machine learning libraries like Spark MLlib, scikit-learn, or PyTorch to write clear, efficient, and well-documented code.

  • Experience with optimisation techniques, control theory, causal modelling or elasticity modelling is desirable.

  • Prior experience in solving machine learning problems within the Marketing domain is beneficial.

  • You are intellectually curious, eager to learn, and open to adopting new methodologies, techniques, and technologies.

#LI-MF2

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 .

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 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.

Related Jobs

View all jobs

Machine Learning Scientist III (Metasearch bidding)

Data Scientist III, IES Shopping Intelligence

Data Scientist III, Planning and Insights

Product Manager III - Artificial Intelligence & Machine Learning Platform

Senior Machine Learning Engineer, AI Infrastructure, Autonomy

Machine Learning Scientist

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.