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Machine Learning and Radar Enginner

DMR Personnel Ltd
Posted 16 hours ago, valid for a month
Location

Cambridge, Cambridgeshire CB22 4QR, England

Salary

£60,000 per annum

Contract type

Full Time

Life Insurance
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Machine Learning/Radar Engineer

  • Free Parking
  • Close to public transport routes (5-10 mins walk from local train station)
  • Flexible working hours
  • Hybrid working (3 days onsite)
  • Benefits package (pension, life assurance etc)
  • Perks package
  • Strong emphasis on career development with access to state of art technologies

This is a great time to join a growing group of highly talented technologists who are building products that solve real-world issues.

As an Engineer, you will be an experienced researcher with a strong interest in radar and/or state-of-the-art AI and Machine Learning technologies.

You will be responsible for delivering novel solutions to our clients customers challenging problems and deliver a mixture of small, early-stage research projects and algorithmic components.

This will involve enhancing the capability of our clients radars, developed in-house, through embedding modern Machine Learning (ML) algorithms to provide autonomous systems with an enhanced picture of the environment.

Our client isa leading technology & engineering company with clients spanning commercial enterprises, defence and Industry. You will work alongside our clients customers to solve their unique challenges.

As our next Senior AI/ML Engineer, you'll be primary "hand on" and actively providing technical expertise across a broad range of AI/ML disciplines, including Computer Vision, Reinforcement Learning and NLP

  • Degree in Machine Learning, or Electrical & Electronic Engineering, Computer Science, Physics or closely related disciplines,.
  • Experience in quantitative research, Radio Frequency (RF) sensing and Machine learning (ML).
  • This role would suit an individual with excellent technical skills and the ability to code proficiently in Matlab (for off-line data processing) and Python or C (to enable real time operations).

Apply now in a few quick clicks

In order to submit this application, a TotalJobs account will be created for you. As such, in addition to applying for this job, you will be signed up to all TotalJobs’ services as part of the process. By submitting this application, you agree to TotalJobs’ Terms and Conditions and acknowledge that your personal data will be transferred to TotalJobs and processed by them in accordance with their Privacy Policy.