Machine Learning Engineer - Recommendation System

Machine Learning Engineer - Recommendation System

Contract Type: Ongoing contract (Inside IR35) or Permanent, full-time onsite

Location: London Paddington

Salary: Negotiable

We are currently looking for a Machine Learning Engineer- Recommender system to join our Client's Consumer Cloud Service - App Store team. This can be a permanent role.

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 Recommendation system architecture and has experience of Recommendation 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.

Before you apply, please make sure you have the Right to Work in the UK from the start of your employment without requirement for work/visa sponsorship.

To apply, please send your CV to Catherine.Sun@projectpeople.com

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