Software Engineer - Machine Learning / Deep learning

Job Type:
Job Sector:
Automotive, Engineering
West Midlands
£23 to £25 per hour
Salary Description:
£23 - £25 per hour
Premea Limited
Job Ref:

Job Description:
Our premium brand Automotive client is currently recruiting for the following role:

Research and Development.

Position Description:
- As our client embrace the opportunities provided by machine & deep learning and advances in comms technology the Research and Technologies group need to strengthen their skills in the area of Machine Learning application.
- The projects range from autonomous driving to cloud based data mining utilising information gathered from in and outside the vehicle.
- The successful candidate will play a key role in researching and developing the on and off board solutions to support innovative features and service.
- The role will involve the appropriate selection and subsequent adaption of the most appropriate machine learning technology to accelerate development to support 21MY onward vehicle programmes.

- Experience of machine learning application in one of the following areas: AI, imagine processing, tracking, control systems, sensor fusion, data mining, BI, forecasting, logistics, game theory, or related areas.
- Experience in software development.
- Experience in web service or app development.

Experience Required:
One of the following:
- Three years' software development experience
- PhD degree in science or engineering

Experience Preferred:
Big data application
Robotics or control system
Telematic systems
Product lifecycle management

Please note to apply for this position, you MUST have either a UK or EU passport or a Visa that does not require sponsorship of any kind.

The services advertised by Premea Limited for this vacancy are those of an Employment business.

Premea is a specialist recruitment consultancy representing clients in the UK and internationally within the Automotive, Motorsport and Aerospace sectors.

Contact Details:
Premea Limited
Tel: +44(0)1926 298890
Fax: +44(0)1926 298908
Contact: Chris Wright

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