Shape the Future of AIJoin one of the UK's fastest-growing companies and become a Professional Development Expert in Artificial Intelligence.

View Roles

Director, Machine Learning Science - Recommendations & Relevance

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.

Introduction to the team

Private Label Solutions (PLS) is the B2B powerhouse within Expedia Group, delivering cutting-edge travel technology and distribution solutions to a diverse global partner network. Our partners span financial institutions, corporate travel managers, offline travel agencies, and global travel suppliers—including major airlines.
 

We are seeking a visionary Director of Machine Learning Science to lead our Recommendations and Relevance team within Private Label Solutions (PLS), Expedia Group's Business-to-business (B2B) division. As a global leader in B2B travel technology, PLS serves thousands of partners across diverse markets and travel segments. This role will tackle the unique challenge of recommending optimal travel products for our partners' diverse traveler base.
 

In this pivotal role, you'll spearhead the creation and evolution of cutting-edge Machine Learning and AI solutions, enhancing our partners' user experiences and optimising their product offerings. As we refine our existing capabilities and ambitiously expand into new business areas, you'll have a unique opportunity to define the future of ML at PLS. We're looking for a leader who thrives on large-scale challenges, can guide a talented full-stack ML team, coach people managers within their organisation, and is committed to delivering exceptional products. Your work will be instrumental in driving growth for our partners, PLS, and Expedia Group as a whole.
 

In this role you will:

  • Lead and inspire a cross functional, full stack team of Machine Learning Scientists and Machine Learning Engineers fostering personal growth and creating accountability.
  • Develop and execute a comprehensive strategy for applying advanced ML techniques to the recommendations and relevance space that is aligned with business strategy.
  • Collaborate with cross-functional teams to identify high-impact opportunities for enhancing partner recommendations and relevance using AI & ML technologies.
  • Work with your peers to identify and develop common capabilities that can improve efficiency across domains.
  • Oversee the development, maintenance and operation of scalable ML infrastructure and pipelines.
  • Stay at the forefront of relevant advancements in machine learning and drive innovation by encouraging your team to explore and implementing novel approaches.
  • Effectively communicate complex technical concepts and project outcomes to both technical and non-technical stakeholders.
  • Establish best-in-class development practices, guidelines, and processes within your team.


Experience and Qualifications:

  • 10+ years for Master's (7+ years for PhD) experience in applied machine learning with at least 4 years in a leadership/management role
  • Ph.D. or master’s degree in computer science, Machine Learning, Information Retrieval, Mathematics/Statistics or another related field of science.
  • Depth of expertise and experience in developing and deploying to production machine learning models for recommendations, personalisation, or search relevance.
  • Comprehensive knowledge of machine learning algorithms, particularly in ranking and recommendation systems, coupled with the agility to rapidly grasp and apply emerging techniques.
  • Proven track record of leading and mentoring high-performing technical teams
  • Excellent communication and interpersonal skills, with the ability to collaborate effectively across departments
  • Strong project management and organisational skills
  • Proficiency in programming languages such as Python, Java, or Scala, and experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn
  • Experience with large-scale distributed systems and big data technologies (e.g., Spark, Hadoop, Kafka)

#LI-SJ2

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

AI / ML / Data Science Strategy & Delivery Lead (SM/D)

Data Science Manager - Marketing & Customer Generative AI Enterprise Architect (London)

Associate Director, Data Science and Innovation (London)

Director of Machine Learning

Director of Machine Learning

Lead Machine Learning Engineer, Associate Director 1

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.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.