Machine Learning Engineer (NLP, Deep Learning, Gaussian)


Premium Job From Understanding Recruitment

Recruiter

Understanding Recruitment

Listed on

15th April 2019

Location

Hatfield

Salary/Rate

£45000 - £65000

Type

Permanent

Start Date

ASAP

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Machine Learning Engineer (NLP, Deep Learning, Gaussian)

We are looking for a Machine Learning Engineer (NLP, Deep Learning, Gaussian) to join us and work on novel projects that involve fast system prototyping and experimentation, at a company who are revolutionising the retail industry and are massively optimising behind the scenes processes.You must have strong expertise in using NLP within industry as well as experience or exposure in using other Machine Learning technologies such as Deep Learning or Reinforcement Learning.We have taken years of academic research, to push the boundaries of what can be achieved with technology, designing and executing cutting-edge experiments that can massively enhance the retail sector and the way that it currently operates.As a Machine Learning Engineer (NLP, Deep Learning, Gaussian) within our business, you will be collaborating with some very experienced Engineers and will be keen to always continue to develop yourself. In this Machine Learning Engineer role, you will have a passion for designing and deploying Machine Learning technologies.What we can offer as a Machine Learning Engineer (NLP, Deep Learning, Gaussian)

A chance to develop a product that will have wide-ranging uses across the retail world and change the way business operate.To help design state-of-the-art Machine Learning technologies.The opportunity to work with and collaborate with an extremely skilled group from varying backgrounds and experiences.To work within a flexible, friendly environment, where you will be able to share, craft and innovate within your role. Key Skills as a Machine Learning Engineer: NLP, Python, Reinforcement Learning, Deep Learning, Machine Learning, MSc, PhD, Comp Sci, Mathematics, Algorithms, Statistics, Software Engineer, Tensorflow, Algorithmic Design, Gaussian Processes, Deep Neural Networks, Neural Nets, DNNs, Vision Processing

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