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

View Roles

Product Manager III - Artificial Intelligence & Machine Learning Platform

Expedia Group
London
1 week 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.

Product Manager III - Artificial Intelligence & Machine Learning Platform 

Introduction to the Team 

The Product Team creates high-quality end-to-end experiences for travelers, partners, and Expedia Group. Our customer-first mindset focuses on developing products that encourage loyalty and repeat business from our travelers and partners. We partner closely with teams across Expedia Group to achieve growth and results for our customers and company.  

This role is in the Product Management team for AI and Analytics Platform in the Expedia Product division. This teamis responsible fordefining and driving the strategic vision, roadmap, and adoption of Machine Learning and Gen AIplatformand capabilities. Theirobjectiveis to enable data scientists, engineers, and business users to develop, deploy, and operationalize traditional ML and generative AI solutions efficiently- ensuring the platform is robust, user-friendly, and aligned with evolving business needs and innovation goals

 

In this role, you will: 

  • Define and drive strategic product roadmaps across complex, multi-workstream environments 

  • Collaborate with engineering leaders to enhance technical foundations and ensure scalable solutions 

  • Lead responsible AI/ML practices, including model evaluation, monitoring, and retraining 

  • Own product profitability and make business-impacting decisions, including build vs.buy 

  • Monitor product performance and make recommendations to pivot, scale, orsunset products 

  • Provide market and customer insights to guide product development across teams 

  • Align product design with integrated user experiences across the ecosystem 

  • Resolve cross-functional escalations and ensure alignment with broader product vision 

  • Build clear requirements in ambiguous scenarios, negotiating acrossmultiple teamsand communicate external trends and their implications for product strategy across the organization 

 

Experience and Qualifications: 

  • You have6+ years of product management experience, ideally in technical orplatform teamswith experience collaborating with engineering, data science, and research teams 

  • You havedemonstratedtheability to define product requirements, own roadmaps,and ship scalable internal tools or platforms 

  • You have working knowledge of machine learning workflows: data preparation,model training, evaluation, deployment, and monitoring 

  • You have exposure to Generative AI concepts: LLMs, prompt engineering, fine-tuning, embeddings, vector databases, and RAG 

  • You have experience building or supporting internal platforms or tools used bytechnical users (e.g., data scientists, ML engineers) 

  • Youhave understanding ofML infrastructure such asfeaturestores, modelregistries, training pipelines, inference endpoints, andMLOpspractices 

  • Youhave the ability totranslate complex ML/AI requirements into clear productplatform specs 

  • You are comfortable prioritizing across user needs, engineering constraints,business values, and have strong documentation, storytelling, and stakeholder management skills 

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. .

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

Product Manager - MLOps Platform (AdTech Focus)

Principal Product Manager – Data Science & Machine Learning

Senior Machine Learning Scientist - Recommendations

Data Science Manager

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

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.