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Machine Learning Engineer - Recommender Systems

Job Title: Machine Learning Engineer - Recommender Systems
Contract Type: Permanent
Location: London, England
Salary: Negotiable
REF: JZFORCE_1629708054
Contact Name: Jianghui Zhang
Contact Email:
Job Published: 12 months ago

Job Description

Machine Learning Engineer - Recommender Systems

Location: London

We are currently looking for a Machine Learning Engineer - Recommender Systems to join our Client's Consumer Cloud Service - App Gallery team.

In this role, you will have the opportunity to work on projects that impact millions of people's lives, exploring novel ways to build recommender systems, providing the most relevant items to users while preserving user privacy.

Key Responsibilities:

  • Responsible for the capability building and evolution of the core module of the recommender system, including retrieval, data processing, distributed training, online experiments.
  • Improve the experimental efficiency of the operational strategy, algorithms and support its rapid iteration.

Required Experience:

  • Proficient in the Recommender system architecture and has experience of Recommender development.
  • Experience in leading a technical team to build a core module.
  • Proficient in Big Data frameworks, such as Spark, Hadoop, Flink, HBase or ES.
  • Practical development experience and studied one or two of the component kernels/source code.
  • Understand common recommendation algorithms (including, but not limited to collaborative filtering, Logistics Regression and FM).
  • Experience in real-time retrieval system development of online high- concurrency, low-latency architecture implementation.
  • Experience in AB experimental.
  • Skilled in the use of Java, Python and Scala.

Project People is acting as an Employment Agency in relation to this vacancy.