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Jobs at Expedia in United Kingdom

ML Scientist II: Personalization at Scale

Expedia, Inc.

City of Westminster
On-site
GBP 70,000 - 90,000
3 days ago
Be an early applicant
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Machine Learning Scientist II

Expedia, Inc.

City of Westminster
On-site
GBP 70,000 - 90,000
3 days ago
Be an early applicant

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ML Scientist II: Personalization at Scale
Expedia, Inc.
City of Westminster
On-site
GBP 70,000 - 90,000
Full time
4 days ago
Be an early applicant

Job summary

A global travel technology firm is seeking a Machine Learning Scientist II to develop scalable machine learning models for personalized recommendations. The role involves contributions from data preprocessing to deployment and requires a Ph.D. or Master's in a relevant field, along with proficiency in Python and ML libraries. Ideal candidates should have strong problem-solving skills and enthusiasm for tackling complex challenges in a collaborative environment.

Qualifications

  • Holds a Ph.D. or Master's in a relevant field.
  • 2 years of industry experience applying ML to real-world problems.
  • Solid understanding of machine learning algorithms and statistics.

Responsibilities

  • Develop and implement ML models for personalized recommendations.
  • Enhance end-to-end ML solutions from preprocessing to deployment.
  • Run A/B tests to improve algorithm performance.

Skills

Machine Learning algorithms
Python
Problem-solving skills
Communication
Statistics

Education

Ph.D. or Master's in Computer Science, Machine Learning, Mathematics/Statistics

Tools

PySpark
scikit-learn
TensorFlow
Keras
Hadoop
Spark
AWS
GCP
Job description
A global travel technology firm is seeking a Machine Learning Scientist II to develop scalable machine learning models for personalized recommendations. The role involves contributions from data preprocessing to deployment and requires a Ph.D. or Master's in a relevant field, along with proficiency in Python and ML libraries. Ideal candidates should have strong problem-solving skills and enthusiasm for tackling complex challenges in a collaborative environment.

* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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