Machine Learning Expert - Cambridge

Location
Cambridgeshire, United Kingdom
Salary
Negotiable
Posted
Mar 16, 2019
Closes
Apr 15, 2019
Ref
293757
Contract Type
Full Time
Job Type
Developer

Machine Learning Expert - Cambridge

Due to the continued development of a range of technologies, a scientific technology development company, based in Cambridge, are currently looking for a skilled and experienced Machine Learning Expert who will be able to apply a unique Machine Learning approach on life improving technologies.

In the past you would have applied your Machine Learning techniques to a range of different applications. These could include deep neural networking, statistical signal processing, artificial intelligence, data science, machine learning or other complex fields.

As you will be applying your development skills to a number of areas, we are happy with your software skills to be in different areas such as Python, C++, C#, MATLAB, Java or any other language while implementing machine learning, data science, statistical modelling or other techniques.

It is expected that you would hold a degree within a computer science, physics, mathematics, technology or statistical field followed up with a few years of practical work.

When successful in this role, you will be rewarded with an excellent salary and benefits package. Along with this you will be provided with the latest industry training to make sure you are always at the forefront of the Machine Learning sector.

If you have a background in Machine Learning and have an interest in applying this knowledge to a number of different fields then please apply now.

For more information, please feel free to call Andrew Welsh, Director of Medical Devices recruitment and Scientific recruitment specialists Newton Colmore Consulting, on +44 121 268 2240 or make an application and one of our team at Newton Colmore Consulting will contact you.

Newton Colmore Consulting is a specialist recruitment company within the Medical Devices, Scientific Engineering, Data Science, Machine Learning, Scientific Software, Robotics, Science, Electronics Design, New Product Design, Human Factors, Regulatory Affairs, Quality Assurance and Field Service Engineering sectors.