Overview

Machine Learning Engineer

Our client is a leading international ICT and smart devices provider and is looking to hire a Machine Learning Engineer to join their expanding team in London. They are looking for several candidates with 2 to 8 years’ experience in Search Engine Technologies.

This is an excellent opportunity to work alongside a very experienced team and build your skills and grow your career in a rapidly expanding office. You will work alongside our client’s Consumer Cloud Service team working on projects that impact millions of users.

Our client is looking to hire a number of candidates in a permanent basis and on a 12-month contract with a view to extension or permanency.

Job Reference: BBBH 19672

Your role will involve

  • Responsible for the capability building and evolution of the core module of Search Engine system, including retrieval, data processing, distributed training, online experiments, etc.
  • Improve the experimental efficiency of operational strategy and algorithm and support its rapid iteration.
  • Work with text and applying various NLP techniques.
  • Dataset acquisition

You must have as a minimum

  • 2-8 years of experience with search engine technologies.
  • Good understanding of SQL.
  • Proficient in big data frameworks, such as Spark, Hadoop, Flink, HBase, ES, etc., and has practical development experience, has studied one or two of the component kernels /source code is preferred.
  • Understand common search algorithms.
  • Understanding of basic NLP principals.
  • Experience in AB experimental is preferred.
  • Skilled use of java / Scala / Python language.

Benefits

  • A very competitive salary
  • 24 days annual leave
  • Medical insurance
  • Multisport card
  • Company discounts & benefits platform
  • London City Centre location close to all amenities and transport
  • Laptop, mobile etc

Still interested in this opportunity?
Submit your CV (in a Microsoft Word format) today!

OR

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Please don’t hesitate to contact any of our team with any questions you may have on Email: or Phone: +48122119037.

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