Job Details  
Advertiser: Networking People

Job Title: Research Engineer
Rate:£55K to £65K Per Year    Benefits: Benefits
Description: NP Group are a trusted partner to one of Europe's leading privately owned healthcare providers who are looking for Research Engineers to join their data science and artificial intelligence practice based in central London.

The role is centred around the improvement of inference algorithms used in graphical models, which form the basis of many of their AI systems. They are looking for a motivated, scientifically sophisticated and technically capable software engineer, scientific programmer or applied scientific researcher with experience of Bayesian approaches to machine learning, as well as knowledge and experience of implementing statistical and machine learning models at scale. Familiarity with relevant inference methods is important.


* PhD in quantitative field
* Solid programming skills in Python and experience with at least one deep learning toolkit such as Tensorflow, Theano, Torch or Keras
* Knowledgeable in Bayesian approaches to statistical modelling, demonstrated experience with Bayesian methods: inference, modelling etc; Bayesian networks/Probabilistic Graphical models
* Experience with cloud computing environments, such as AWS

What’s in it for you?

* Competitive salary
* Share option scheme
* Private medical insurance
* Life insurance
* Flexible working environment
* Great central location
* Pension scheme

… and the opportunity to make a difference to millions of lives!

If you are interested in this opportunity, please your CV over ASAP!
Skills Required: Research Engineer
Job Type: Permanent
Start Date: ASAP     Duration:
Contact: Rania Elewa Contact E-mail: Click
Contact Tel: 02079530037 Contact Fax: 020 7953 0001
Reference: ResearchENG Added: 26-02-2018
  IMPORTANT: For jobs based in the UK it is unlawful to employ a person who does not have permission to live and work in the UK. Please ensure you have this permission before applying, unless the advert states otherwise.
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