NLP Engineer – Machine Learning / Deep Learning

NLP Engineer – Machine Learning / Deep Learning

  • London
  • Applications have closed

NLP Engineer – Machine / Deep Learning:

Hiring across multiple levels, this role is open to Ph.D. graduates who thrive in the NLP, Machine Learning and Deep Learning environments. Working alongside NLP scientists, you would be taking ownership of a significant part of developing NLP components, applications, platforms and services throughout the entire life cycle. Whether you’ve got years of experience in leading a team, or you are a recent Ph.D. graduate who fits the bill, this role is worth applying for…

 

What You Need:

  • Ph.D. in  Computer Science, Machine Learning, Engineering, Mathematics, Physics, or Bioinformatics
  • Experience  in Engineering for scale and reliability using cloud platforms (e.g. Amazon Web Services)
  • Practical experience with: NLP algorithms, methods, tools in multiple core, fundamental NLP and text analytics tasks and application areas
  • Experience with:  Stanford CoreNLP, spaCy, fastText, AllenNLP, NLP Architect, PyTorch-NLP, Gensim, pymagnitude, word2vec, BERT, Elmo, and GloVe
  • Experience with:  PyTorch, Keras, and TensorFlow
  • Strong Python coding skills and experience in a typed language (e.g. C++, Java, and Scala)

What You’ll Get in Return:

  • The opportunity to work for a leading technology company on interesting and challenging projects
  • The chance to live and work in England’s Capital City
  • A very healthy salary with benefits

 

Key Words:

NLP / Engineer / NLP Engineer / Machine Learning / Deep Learning / Python / C++ / Java / Scala / PyTorch / Keras / Tensorflow / Ph.D. / Publications / Amazon Web /

 

#NLPjobs

 

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