Machine Learning Engineer - Defence Sector - Cambridge
TN United Kingdom
Cambridge, England, United Kingdom
Job Title: Machine Learning Engineer - Defence Sector - Cambridge, Cambridge Client: Newton Colmore Consulting Ltd Location: Cambridge, United Kingdom Job Category: - EU work permit required: Yes Job Reference: f39a89c6e4a2 Job Views: 4 Posted: 24.04.2025 Expiry Date: 08.06.2025 Job Description: Machine Learning Engineer - Defence Sector - Cambridge A growing organisation within the Defence Sector, based in Cambridge, is seeking a skilled Machine Learning Engineer or Artificial Intelligence Engineer to contribute to the development of defence, security, and intelligence technologies. This organisation offers career development opportunities based on success. You will work on various projects, from small initiatives to large ongoing ones, collaborating with mechanical engineers, electronics engineers, inventors, scientists, and industry experts. Due to the nature of the work involving cutting-edge technologies with applications in national security, the ability to obtain security clearance is required. Ideally, candidates will have several years of experience in Machine Learning or Artificial Intelligence projects. Experience in the defence sector is advantageous but not mandatory. You should hold a degree relevant to Machine Learning or Artificial Intelligence. In addition to working on challenging projects, benefits include a competitive salary, bonuses, pension, complimentary meals, health insurance, ongoing training, and other perks. If you are interested in working on forefront ML/AI projects and seeking daily challenges, apply now to be part of this exciting opportunity. For more information, contact Andrew Welsh, Director of Medical Devices Recruitment and Scientific Recruitment Specialist at Newton Colmore, at 0121 268 2240, or submit your application, and our team will reach out to you. Newton Colmore Consulting specializes in recruitment across Medical Devices, Scientific Engineering, Software, Robotics, Data Science, Healthcare Communications, Electronics, and related sectors. #J-18808-Ljbffr