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Machine Learning Scientist

Job LocationBabraham
EducationNot Mentioned
Salary40,000 - 60,000 per annum, negotiable, inc benefit
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent, full-time

Job Description

Machine Learning Scientist - NLPCambridge, Cambridgeshire (Remote Working Available)£40,000-£60,000 per annumOverview:Our client is an award-winning life sciences/technology company, that specialises in developing deep learning solutions to extract scientific terminology and turn it into machine-readable data, for scientists and doctors to have a real-world impact.You will be an integral part of a brand new AI group, where you will be developing cutting-edge language models, using rule-based analytics systems and semantic technology. This is an exciting new field, that has lots to discover, with real-world use cases!Responsibilities:

  • Developing machine learning approaches to tasks such as language comprehension, natural language question and answering, relationship extraction, graph learning
  • Working with customers and partners to integrate APIs in data workflows (whilst testing and documenting)
  • Ensuring quality through good software development practices and scaling across the software
  • Collaborating with cross-functional teams, developing and using AI approaches
  • Working to deliver exceptional customer support
Experience Required:
  • Experience of developing solutions, using Python
  • Experience utilising machine learning libraries i.e. TensorFlow, scikit-learn, PyTorch, Pandas, NumPy, SciPy
  • Experience using a Python web framework such as Django or Flask
  • Familiarity with common forms of data such as JSON and XML
  • Understanding of software deployment tools such as: Maven, Git, Docker, AWS, Jenkins etc.
  • Experience using ontologies or other semantic technology
  • And cloud exposure (ideally with AWS)
For more information and a full job description, please contact Harry Calvert at TEC Partners and apply below now.

Keyskills :
Machine LearningData ScienceNLPPandasNumPySciPyScikit-LearnTensorflowPyTorch

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