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Machine Learning Engineers / Research Scientists

Location:
Oxfordshire
Salary:
Dependent On Experience
Date Posted:
20 Aug 2018
Advertising End Date:
28 Sep 2018
Vacancy Type:
Permanent
Reference:
7256
Job Description

A scholarly and professional publishing technology supplier are looking for Machine Learning Engineers / Research Scientists to expand the AI R&D team in the areas of Natural Language Process, Machine Learning Engineering including Deep learning, Knowledge extraction & representation and Recommendation. Senior-level engineers/research scientists preferred but all levels may apply.

Key duties:

  • Responsible for exploring and prototyping effective ML algorithms/solutions
  • Collaborate with engineering team to develop innovative software features/products by applying AI technologies
  • Collaborate with worldwide reputational research labs
  • Work across a wide portfolio of products and have impact on them

Experience / skills required:

  • A passion for Data Science and Machine Learning
  • Strong development skills in Python or Java
  • Experience in developing machine learning and deep learning solutions
  • Deep understanding and experience in Text Mining and Natural Language Processing (NLP)
  • Familiarity with frameworks such as Keras, TensorFlow, PyTorch, sklearn, liblinear, Weka, or OpenNLP etc.
  • Proven ability to train, tune and evaluate ML models
  • Bsc or Msc with a minimum of a 2:1 degree in Computer Science or Machine Learning related fields
  • Team player who enjoys working collaboratively
  • Fluency in English

For further information, please apply online or email a CV and salary expectations ASAP to kelliemillar@atwoodtate.co.uk

Contact:             Kellie Millar

Tel:                    020 3 574 4430

Atwood Tate acts as an Employment Agency in relation to permanent and contract vacancies and an Employment Business for interim and temporary recruitment.

Atwood Tate embraces diversity and seeks to promote the benefits of diversity in all of our business activities and to develop a business culture that reflects that belief. We welcome applications from all members of society irrespective of age, disability, sex, sexual orientation, colour, race, nationality, ethnic or national origin, religion or belief.