Senior Director, Machine Learning & AI Strategy

Aimlroles; Greater London; Hybrid; GBP 180,000 - 240,000; Full time

Benefits offered by this job

Competitive compensation

Remote-friendly collaboration

Flexible schedule

Tuition assistance

Travel perks

Health benefits

Referral scheme

Employee assistance program

Job summary

Tripadvisor seeks a Senior Director, Machine Learning, to lead ML, data science and experimentation efforts under the VP of Engineering. You will define ML strategy, scale teams, and drive growth through personalization, ranking and generative AI initiatives.

Expect a hub-and-spoke model with central standards and close product collaboration. You will mentor managers, shape career ladders, and partner with Talent Acquisition to attract top ML talent while delivering measurable business impact.

Qualifications

• Substantial experience in machine learning and leading managers in a scaled org.
• Track record of shipping production ML at scale with business impact.
• Ability to influence across Product and Engineering at Director/VP level.
• Strategic, hands-on leader with depth in ML, experimentation, and MLOps.
• Excellent communication translating ML concepts to business decisions.

Responsibilities

• Build and lead a unified ML organization (hub-and-spoke).
• Own personalization and recommendation strategies for user journeys.
• Lead data science, experimentation, and governance of ML models.
• Shape generative-AI direction across Experiences product with cost control.
• Grow and retain ML talent; define career ladders and mentoring.
• Ensure production ML health: deployment, retraining, monitoring, SLAs.
• Collaborate with Product, Engineering, Design, and Analytics leadership.

Skills

Machine learning

Team leadership

Strategic thinking

Experimentation

Statistics

Communication

Education

MS/PhD in quantitative field

Tools

MLOps

Job description

Tripadvisor seeks a Senior Director, Machine Learning, to lead ML, data science and experimentation efforts under the VP of Engineering. You will define ML strategy, scale teams, and drive growth through personalization, ranking and generative AI initiatives.

Expect a hub-and-spoke model with central standards and close product collaboration. You will mentor managers, shape career ladders, and partner with Talent Acquisition to attract top ML talent while delivering measurable business impact.