Computer Vision and Artificial Intelligence Engineer

Overview

In this role you will develop and evaluate advanced computer vision and AI algorithms for MBDA’s next-generation weapon systems. You’ll contribute to a department that delivers world-class imaging-based solutions and work closely with cross-functional teams to shape their integration into real systems. The position offers exposure to cutting-edge technology, cross-site collaboration in Europe, and opportunities to travel for workshops and conferences. A strong research mindset and hands-on implementation are essential to drive impact from concept to deployment.

Pay / Benefits

• Salary up to 62,000 depending on experience
• Bonus up to 2,500
• Pension up to 14% total employer/employee
• Overtime paid
• Flexi Leave up to 15 days
• Flexible working arrangements

Responsibilities

• Research, develop and evaluate CV/AI algorithms for imaging sensors and situational awareness
• Contribute to the design and optimization of algorithms that guide weapons with precision
• Collaborate with engineers across subject areas to integrate algorithms into complex weapon systems
• Participate in reviews, testing and validation within a defense-grade development environment
• Engage with international MBDA teams in France and Germany and attend conferences/workshops
• Maintain and improve software environments (Matlab/Simulink and Python) for algorithm development
• Stay abreast of cutting-edge technologies and apply them to practical defense problems
• Support mentoring and development programs within the team

Key requirements

• PhD preferred or relevant post-doctoral/industry experience
• Degree with strong mathematical content (e.g., Mathematics, Engineering, Physics, Computer Science)
• Curiosity about cutting-edge technologies and their applications
• Knowledge in areas such as image processing, CV, deep learning, inverse problems, or domain-specific sensor processing
• Proficiency in Matlab/Simulink and Python (PyTorch)

• curiosity
• collaboration
• problem-solving
• Image Processing Algorithms (segmentation, filter design, noise removal, compression, super-resolution)
• Computer Vision Algorithms (tracking, optical flow, pose estimation)
• Deep Learning (detection, classification, tracking, Siamese networks)

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