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About the Role

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 model, leading and growing the organization through a layer of managers as it scales. 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.

Responsibilities

Build and lead a unified ML organization, defining the operating model, decision rights, and service commitments.
Own the personalization strategy, setting technical direction for recommendation, ranking, and search-relevance systems.
Lead data science and experimentation, owning predictive modeling, causal inference, and the experimentation platform and standards.
Shape the generative AI direction, owning the strategy for applying LLMs and generative AI across the Experiences product.
Grow, develop, and retain the team, shaping ML and data-science career ladders and partnering with Talent Acquisition.
Own production ML health, setting and enforcing standards for reliable, well-monitored, cost-effective models in production.
Partner across the company to translate commercial strategy into an ML roadmap and represent ML in executive planning.

Requirements

Substantial experience in machine learning, with significant experience leading managers and senior technical teams in a complex, scaled organization.
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, with change-management skills to consolidate and align teams without disrupting delivery.
The ability to operate as an executive peer, influencing Director- and VP-level partners and shaping strategy.
Strong technical depth in modern ML, experimentation, and MLOps to set direction, review architecture, and hold the scientific bar.
Strong grounding in experimentation and statistics, including 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 skills, with the ability to translate complex ML concepts into business decisions for technical and non-technical audiences.

Skills

Machine Learning
Data Science
Experimentation
Personalization
Recommendation Systems
Ranking Systems
Search Relevance
Multi-objective Ranking
Sequential and Session-based Recommenders
Embeddings
Semantic Retrieval
Real-time Features
Predictive Modeling
Causal Inference
A/B Testing
Guardrail Metrics
LLMs
Generative AI
Retrieval-Augmented Generation
Agentic and LLM-driven experiences
MLOps
Production ML Health
Service Level Agreements (SLAs)

Location

Hybrid - UK (London/Oxford)
Hybrid - Poland (Krakow)

Work Type

Hybrid
Remote-friendly

Experience Level

Senior Director
Leading managers and senior technical teams
Experience building, scaling, or restructuring an ML or data-science organization

Education Level

MS or PhD in a quantitative field (Computer Science, Statistics, Mathematics, or related), or equivalent depth of applied experience.

Salary/Compensations

Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses

Benefits

Competitive compensation packages
Base salary
Annual bonuses
Work your way flexibility
Remote-friendly approach
Option to join on-site
Flexible schedule
Donation matching
Tuition assistance
Lifestyle benefit
Travel perks
Employee assistance program
Health benefits
Generous referral scheme

About the Company

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.
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.

Equal Opportunity

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.