Remote Machine Learning Engineer

at Playtech

Posted 1 week ago 3 applied

Description:

  • The company, founded in 1999, is a leading technology provider in the gaming industry, listed on the London Stock Exchange.
  • Playtech focuses on regulated markets and delivers innovative products and services for a safe and engaging gaming experience.
  • The BI unit is seeking a passionate Machine Learning Engineer to work with cutting-edge technologies and enhance systems.
  • The role involves developing production data science applications in Python, designing new AI services, maintaining data science pipelines, collaborating with R&D and DevOps teams, researching machine learning algorithms, performing predictive modeling, and conducting ad-hoc analyses.

Requirements:

  • A minimum of 3 years of experience as a Python developer, including familiarity with PyCharm, git, and debugging.
  • At least 3 years of experience in predictive modeling, preferably in data science production services.
  • A minimum of 3 years of experience in tabular or time series data analysis in a data developer, data scientist, or data analyst role.
  • Proficiency in SQL for data manipulation and visualization is required.
  • Strong team player with excellent communication skills, capable of working collaboratively in a remote environment.
  • High level of English proficiency is necessary.
  • A Bachelor's degree in Engineering, Economics, Mathematics, Statistics, or a similar field is required.
  • Extra points for experience in REST API and cloud deployment, knowledge of AWS or GCP, a Master's degree in a relevant field, and experience in direct communication with business.

Benefits:

  • The opportunity to work in an innovative team designing AI-powered services for the gaming market.
  • A culture that values engaged user experiences, data-driven decision making, and responsible development.
  • The chance to be part of a forward-thinking environment that embraces diversity and encourages individual expression.
  • Playtech is committed to creating inclusive teams and celebrating differences among employees.

Get realtime job alerts

Be the first to know about new jobs