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Machine Learning Engineer at z1nc

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  • London
  • fulltime

We are looking for a Machine Learning Engineer to become an integral part of our team based in our London office. You will join a rapidly growing team of data scientists applying machine learning algorithms to marketing data from our big data pipelines, which handle thousands of events every minute. With an emphasis on scalability, this data science team implements ML models trained on big data and provides predicted values to other teams in the company or our clients in real time.

The ideal candidate will need to be organised and motivated to get things done. They will also want to work in a startup environment and take ownership of their work. We embrace a culture where we support each other, and communicate openly and work together on cutting edge technologies while valuing a work/life balance.

 

Responsibilities:

  • Working on one or more areas of the following: recommendation systems and/or graph-based machine learning

  • Building REST API's that provide on-demand predictions

  • Maintaining and improving existing ML models

  • Communicating with stakeholders who may not be experts in machine learning

  • Collaborating with junior and senior team members, as well as with other technical

    teams

 

Required:

  • University degree in a quantitative field (such as Computer Science, Physics, Statistics, Applied Mathematics, Economics, ...)
  • High proficiency in Python (Pandas, Numpy, Scikit-learn, ...) and SQL

  • Familiarity with relational or columnar databases

  • Experience working with big data technologies (e.g. Spark, Hadoop, Beam)

  • Enthusiastic approach to problem solving

  • Implementation of best practices in software development

  • Understanding of common algorithms like LDA, SVM, RandomForests, or K-Means

 

Nice to have:

  • Cloud computing experience, particularly Google Cloud Platform
  • Experience with Airflow, NoSQL databases (Neo4j), real-time data streams

 

Why join us?

We are a collaborative, forward-thinking, innovative team and work on cutting edge tech. We are passionate about what we do and the products that we create. We offer a competitive salary, unlimited training and amazing perks as well as a flexible superstar environment.

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