A growing Defence Sector organisation, based in Cambridge, are currently looking for a skilled Machine Learning Engineer of Artificial Intelligence Engineer to help with the continued development of defence, security and intelligence technologies.

This is a growing organisation, resulting in interesting career development opportunities based on success. You’ll work across a range of projects, ranging from small individual projects through to large running projects when you’ll be working with mechanical engineers, electronics engineer, inventors, scientists and other industry experts.

As you’ll be working on cutting edge technologies that could be used in the corporate and national security measures, you will need to be able to obtain security clearance.

Ideally, you will have worked on Machine Learning or Artificial Intelligence projects across a number of years. If you have worked in the defence sector it would be highly advantageous, however we do not expect this.

What is truly interesting about this organisation is how the structure allows you to work on some of the worlds most interesting problems without the need to navigate red tape you may need to at larger organisations.

It is expected that you would hold a degree that has led you into a Machine Learning or Artificial Intelligence role.

Apart from working on some of the most challenging and interesting projects, you’ll also be rewarded with an excellent salary, bonus, pension, free meals, health insurance, continued skills training and other excellent benefits.

If you want to be challenged daily and work on projects at the forefront of the ML/AI field, then apply now as I expect a lot of interest in this role.

For more information, please feel free to call Andrew Welsh, Director of Medical Devices recruitment and Scientific recruitment specialists Newton Colmore Consulting, on 0121 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, Scientific Software, Robotics, Data Science, Healthcare Communications. Science, Electronics Design, New Product Design, Human Factors, Regulatory Affairs, Quality Assurance and Field Service Engineering sectors.