Machine Learning Data Engineer (Python)

  • Permanent
  • London
  • data engineering
  • to £120K
  • swx3330

Python, Machine Learning, Data Engineer, WFH, to £100K + bonus, full bens.

Leading solution provider looking for experienced Machine Learning Data Engineer with solid Python experience and ideally consumer products/online commerce recommendations experience.

Essential:

  • Solid Python programming with relevant packages for statistics, machine learning and numerical computing, eg numpy, scipy, scikit-learn, tensorflow, keras.
  • Git version control, unit testing, continuous integration and best practices
  • Delivery of models and data pipelines in a repeatable, reliable, automatable fashion
  • Manipulate data and rapidly prototype and communicate solutions in Jupyter notebooks.
  • Transform prototype solutions into something modular, extensible, tested and production ready.
  • Produce and deploy machine-learning models on cloud-based infrastructure, containerisation and data pipelines.
  • Understanding of classical statistics and its applications particularly to hypothesis testing and inference.
  • Strong modern machine learning techniques, particularly neural networks, Word2Vec, and representation learning.
  • Experience with recommendations systems.
  • Not afraid to read research papers, adapt and apply ideas from the latest research.
  • Able to visualise and communicate results in a compelling way to people who may be new to machine learning
  • Work with other data scientists, engineers, product owners, business analysts and delivery leads

Desirable:

  • Google Cloud Platform, GCP
  • agile software development team.
  • common data engineering technologies
  • Bayesian statistics

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This advert was posted by Staffworx Limited – a UK based recruitment consultancy supporting the global digital, E-commerce, software & consulting sectors. Services advertised by Staffworx are those of an Agency and/or an Employment Business.

Staffworx operate a referral scheme of £500 or new iPad for each successfully referred candidate, if you know of someone suitable please forward for consideration.

 

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