Senior ML Scientist — Remote/Hybrid Travel AI Leader

TripAdvisor LLC; City of London; Hybrid; GBP 75,000 - 100,000; Full time

Job summary

A leading online travel marketplace is seeking a Senior Machine Learning Scientist to design and implement algorithms that enhance customer satisfaction. The ideal candidate will have over 5 years of data science experience, a strong grasp of AI/ML techniques, and excellent communication skills. This position offers the flexibility to work remotely or on-site in the UK, with opportunities for mentoring and collaboration across teams.

Benefits

Competitive compensation packages

Flexible schedule

Donation matching

Tuition assistance

Lifestyle benefit

Travel perks

Employee assistance program

Health benefits

Qualifications

• 5+ years of hands-on data science experience.
• In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries.
• Strong skills in SQL and at least one programming language.
• Experience in ML model productization and a grasp of MLOps.
• Clear communication skills with the ability to convey complex ideas simply.

Responsibilities

• Design, code, experiment and implement models and algorithms.
• Analyse large datasets to extract key insights.
• Collaborate with product managers and business stakeholders.
• Investigate and adopt innovative concepts.
• Employ techniques like Deep Learning and Recommendation Systems.

Skills

Hands-on data science experience

In-depth knowledge of AI/ML/DL, Statistics

Strong skills in SQL and programming

ML model productization and MLOps

Leadership qualities and mentoring

Education

Master's or PhD in relevant field

Tools

Open-source ML libraries

Job description

A leading online travel marketplace is seeking a Senior Machine Learning Scientist to design and implement algorithms that enhance customer satisfaction. The ideal candidate will have over 5 years of data science experience, a strong grasp of AI/ML techniques, and excellent communication skills. This position offers the flexibility to work remotely or on-site in the UK, with opportunities for mentoring and collaboration across teams.