CAREERS

Our portfolio companies are always looking for great people. Apply to the opportunities below or send us your profile.

Machine Learning Engineer at Healx
Cambridge, GB

Start Date: Immediate preferred

Salary: Competitive compensation package including share options, subject to experience

Closing Date: 6th January 2020

About Healx

At Healx, we are discovering treatments for the 350 million people that are affected by rare diseases. We work with pharma companies, patient groups and charities to understand clinical unmet need and identify potential novel treatments for further testing. Healx is a fast-growing Cambridge UK Biotech, combining computational methods and deep pharmacology expertise to identify existing drugs that may treat rare diseases, enabling new treatments to be found at a fraction of the time and cost of traditional drug discovery. 

We are looking for a talented Machine Learning Engineer to join our Artificial Intelligence team and help us grow quickly by applying cutting edge deep learning approaches to Natural Language Processing and Knowledge Graph Reasoning.

Main duties and responsibilities

You will contribute to build and refine and deploy our machine learning infrastructure, automatically extracting biological facts from very large collections of documents, organising the information in our Knowledge Graph and building novel reasoning methods to drive Healx drug repurposing efforts. Publications on major journals/conferences will be encouraged.

Skills and experience

You will be an experienced machine learning engineer with a proven track record of building commercial application in at least one of these areas:

  • Deep Learning based NLP and information extraction
  • Deep Learning applied to graph data
  • Deployment of large scale Machine Learning solutions in a production environment

Essential requirements

  • An advanced degree (masters, PhD) in machine learning or related field 
  • 5+ years of work experience in machine learning, artificial intelligence, natural language processing or related fields
  • Strong software development experience (preferably in Python)
  • Familiarity with major deep learning frameworks: Tensorflow, Pytorch, possibly in a distributed environment.

Desirable

  • Experience with distributed data and computing tools like Spark or Apache Beam.
  • Experience with python NLP libraries like spacy and gensim and/or modern transformer-based models
  • Experience or interest in applying deep learning to large graphs.
  • Experience using AWS and/or GCP cloud infrastructure
  • Familiarity with Docker and orchestration services like Kubernetes

Healx will provide you with support and guidance to help you do your best work and make an impact. We offer flexible working and believe in maintaining a sustainable work-life balance.




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