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Machine Learning Engineer

  • Job type: Permanent
  • Location: London
  • Salary: Competitive
  • Job reference: 462573/001_1562777911
  • Sector: BI & Big Data, Glocomms
  • Date posted: 10/07/2019

Amazing opportunity for a Machine Learning Engineer to join a globally recognized financial organization based in London!

My client is one of the global leading finance companies operating in over 30 countries and is looking to expand their team in London; they are searching for someone who is looking for a challenge, to be part of the most cutting edge technology and work in an exciting and ambitious team environment.

We are a recognized brand with dual headquarters in London and New York, so the opportunity to travel internationally is there also!

They are built on core competencies such as intellectual curiosity, integrity, and objectivity.

The companies mission is to apply advanced data analysis methods to generate more insights into global markets. You will also research improvements in data collection, feature engineering, and algorithmic optimization!

The work environment is entrepreneurial, friendly and collaborative and the candidate will have the opportunity to work with industry leading teams in a dynamic, fast-paced environment!

Responsibilities

  • You will be building machine learning infrastructure, data pipelines as well as API integrations.

  • Using NLP; delivering highly scalable Deep learning & NLP solutions.

  • Studying and analyzing problems and then proposing a solution to these problems in an innovative manner.

  • ML Algorithms, sharing your knowledge and expertise with other colleagues in data science and technology teams.

Requirements

  • Bsc or Msc in any related field (computer science, math, statistics etc)

  • Quantitative and Analytical skills, experience using Python, Scala, Julia or Scala

  • Data fundamentals, SQL

  • Machine learning, NLP and data mining techniques.

  • Experience with Deep Learning frameworks, at least one of either PyTorch, Tensorflow, Keras, Theano, Caffe etc.)

  • Some knowledge on public clouds - GCP, AWS, Azure

If you would like to find out more then feel free to reach out to me on or apply directly here and I will be in touch!

Look forward to speaking with you :)

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