Machine Learning Engineer (IEEE, Bayesian Inference)

Recruiter
Understanding Recruitment
Location
Cambridge
Posted
13 Apr 2018
Closes
18 Apr 2018
Contract Type
Permanent
Hours
Full Time

Machine Learning Engineer (IEEE, Bayesian Inference)

We are currently looking for a passionate Machine Learning Engineer (IEEE, Bayesian Inference) for an 18 month-old company based in central Cambridge, currently creating a platform that is set to transform Machine Intelligence, particularly in the areas of Reinforcement Learning and Deep Learning. This platform will work to disrupt modern approaches to smart-cities, gaming and self-driving vehicles.

As a Machine Learning Engineer you will be a core member of the machine learning team; working closely with the Machine Learning researchers, as well as the Senior Software Engineers. You will be implementing your unique skills within the domain and be a key voice within the company at this period of huge growth, particularly with its Tier One VC backing.

We're looking for a Machine Learning Engineer who is willing to take on a hands-on approach and bring their own relevant ML experience to the company, whatever area this is within ML/AI. Within this organization, you will have the opportunity to develop a decision-making agent that can be implemented in extremely complex environments.

What we can offer a Machine Learning Engineer (IEEE, Bayesian Inference):

  • To work in an organization with a startup culture but commercial viability
  • Strong salary and package
  • Flexible working environment
  • To work amongst world leading researchers and engineers

Key Skills: Machine Learning Engineer; Tensorflow, C++, C, Java, Python, C#, Distributed Algorithms. Distributed systems, BSc, MSc, MPhil, PhD, Post-Doc, Research, R&D, startup, Multithreading. Machine Learning, AI, Artificial Intelligence, NLP, Natural Language Processing, Linguistics, Computational Biology, Computational Linguistics, Reinforcement Learning, Multi-Agent Systems, Deep Learning, Bayesian Inference, Probabilistic Models


This job was originally posted as www.totaljobs.com/job/80858274

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