Tripadvisor
New

Senior Director of Machine Learning (Experiences)

United KingdomUnited Kingdom·Londonsenior
Machine LearningData & AI
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Quick Summary

Key Responsibilities

Build and lead a unified ML organization. Consolidate and grow ML scientists currently embedded across engineering into one hub-and-spoke model; define the operating model, decision rights,

Technical Tools
Machine LearningData & AI

The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork.

Tripadvisor Experiences, a division of Tripadvisor, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 400,000+ travel experiences to explore—everything from simple tours to extreme adventures (and all the niche, interesting stuff in between)—making memories that will last a lifetime has never been easier. With industry- leading flexibility and last-minute availability, it's never too late to make any day extraordinary.

As the Senior Director, Machine Learning, you will spearhead our Machine Learning, Data Science and Experimentation efforts, reporting to the Vice President of Engineering. You will play a pivotal role in shaping our ML and AI strategy and ensuring we leverage our data assets to their full potential to drive growth and competitive advantage. This spans the personalization, recommendation, and ranking systems that power how travelers discover and book experiences; rigorous experimentation; and the responsible application of generative AI — all built on our rich first-party data.

You will run your organization as a hub-and-spoke: a strong central team that owns talent, craft standards, career growth, tooling, and long-horizon ML strategy, with scientists deployed close to the product areas they serve so delivery stays fast and grounded in real business context. You will be a strategic leader and a credible technologist: a player-coach who sets technical direction, holds the scientific bar, and stays close enough to the work to earn the trust of a demanding team. You will lead and grow the organization through a layer of managers as it scales.

Responsibilities

~1 min read
  • Substantial experience in machine learning, together with significant experience leading managers and senior technical teams in a complex, scaled organisation.
  • A track record of shipping production machine learning at scale — ideally personalization, recommendations, search/ranking, or similar — to large consumer traffic, with measurable business impact.
  • Experience building, scaling, or restructuring an ML or data-science organization, and the change-management skill to consolidate and align teams without disrupting delivery.
  • The ability to operate as an executive peer — influencing Director- and VP-level partners across Product and Engineering and shaping strategy, not just execution.
  • A strategic player-coach's technical depth: current enough in modern ML, experimentation, and MLOps to set direction, review architecture, and hold the scientific bar.
  • Strong grounding in experimentation and statistics — A/B testing, causal inference, and rigorous measurement of impact.
  • An MS or PhD in a quantitative field (Computer Science, Statistics, Mathematics, or related), or equivalent depth of applied experience.
  • Excellent communication — the ability to translate complex ML concepts into business decisions for technical and non-technical audiences alike.

Job Location: Hybrid - UK (London/Oxford) or Poland (Krakow)

This role is a hybrid position that requires 2 days per week in our office

What We Offer

~1 min read
Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses
“Work your way” with flexibility to suit your lifestyle. Tripadvisor Group takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you’d like or as required by your team.
Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work.
Donation matching. Give back? Give more! We match qualifying charitable donations annually.
Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs.
Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you.
Travel perks. We believe that travel is employee development, so we provide discounts and more.
Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges.
Health benefits. We offer great coverage and competitive premiums.
Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates.

We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. 

We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else’s problem and finish what can be done today, knowing tomorrow will bring fresh challenges. 

The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements.

We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com.

If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com. We have all the answers!

 

#LI-AH1

 

Location & Eligibility

Where is the job
London, United Kingdom
On-site at the office
Who can apply
Open to applicants worldwide

Listing Details

Posted
July 28, 2026
First seen
July 28, 2026
Last seen
July 28, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
67%
Scored at
July 28, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust
Tripadvisor
Tripadvisor
greenhouse

Tripadvisor is the world's largest travel guidance platform, offering reviews, booking tools, and a wide variety of travel choices to millions of users globally.

Employees
3k+
Founded
2000
View company profile
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TripadvisorSenior Director of Machine Learning (Experiences)