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Machine Learning Engineer - Defence Sector - Cambridge

Newton Colmore Consulting Ltd
Posted 24 days ago, valid for 6 days
Location

Cambridge, Cambridgeshire CB2 8AG, England

Salary

£50,000 - £60,000 per annum

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Contract type

Full Time

Health Insurance

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

Sonic Summary

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  • A growing organisation in the Defence Sector in Cambridge is seeking a Machine Learning Engineer or Artificial Intelligence Engineer to enhance defence, security, and intelligence technologies.
  • Candidates should ideally have several years of experience in Machine Learning or Artificial Intelligence projects, with experience in the defence sector being advantageous but not mandatory.
  • The role requires the ability to obtain security clearance due to the sensitive nature of the projects, which range from individual initiatives to large-scale collaborations with various industry experts.
  • The position offers a competitive salary along with bonuses, pension benefits, complimentary meals, health insurance, and ongoing skills training.
  • This opportunity is ideal for those looking for daily challenges in a dynamic environment that allows for tackling significant problems without bureaucratic constraints.

Machine Learning Engineer - Defence Sector - Cambridge

A growing organisation within the Defence Sector, based in Cambridge, is currently seeking a skilled Machine Learning Engineer or Artificial Intelligence Engineer to contribute to the ongoing development of defence, security, and intelligence technologies.

This is an expanding organisation offering intriguing career development opportunities based on success. You will work on a variety of projects, ranging from small individual initiatives to large ongoing projects, where you will collaborate with mechanical engineers, electronics engineers, inventors, scientists, and other industry experts.

Given that you will be working on cutting-edge technologies with potential applications in corporate and national security measures, the ability to obtain security clearance is necessary.

Ideally, you will have experience in Machine Learning or Artificial Intelligence projects spanning several years. While experience in the defence sector would be highly advantageous, it is not a strict requirement.

What makes this organisation truly fascinating is its structure, which enables you to tackle some of the world's most intriguing problems without the bureaucratic hurdles often encountered in larger organisations.

It is expected that you hold a degree that has prepared you for a role in Machine Learning or Artificial Intelligence.

In addition to working on highly challenging and captivating projects, you will receive a competitive salary, bonuses, pension benefits, complimentary meals, health insurance, ongoing skills training, and other outstanding perks.

If you seek daily challenges and the opportunity to work on projects at the forefront of the ML/AI field, we encourage you to apply now, as we anticipate significant interest in this role.

For more information, please do not hesitate to call Andrew Welsh, Director of Medical Devices Recruitment and Scientific Recruitment Specialist at Newton Colmore, on , or submit an application, and a member of our Newton Colmore team will contact you.

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

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