Computer Vision and Artificial Intelligence Engineer in Gloucester

As a Computer Vision and Artificial Intelligence Engineer within the Image Processing UK department, you will play a critical role in the development of MBDA products and technologies. You will be an important member of a department that produces world-beating algorithms.

What we can offer you:

• Salary: Up to £62,000 depending on experience
• Dynamic (hybrid) working: 4-5 days per week on-site due to workload classification
• Security Clearance: British Citizen or a Dual UK national with British citizenship
• Company bonus: Up to £2,500 (based on company performance and will vary year to year)
• Pension: maximum total (employer and employee) contribution of up to 14%
• Overtime: opportunity for paid overtime
• Flexi Leave: Up to 15 additional days
• Flexible working: We welcome applicants who are looking for flexible working arrangements
• Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave - enhancements are available for paternity leave, neonatal leave and fertility testing and treatments
• Facilities: Fantastic site facilities including subsidised meals, free car parking and much more

The algorithms that you will research, develop and evaluate will form part of the next generation of complex weapon systems. You will be an important member of a department that produces world-beating algorithms that use imaging sensors to provide situational awareness, and guide weapons to their target with maximum precision. We have a detailed understanding of the interaction between missile subsystems and have a direct influence on meaningful design decisions.

We are a firm supporter of equal opportunity for all, and are proud to be a diverse engineering team. Image Processing UK is an innovative, cohesive department where the contributions of each individual have real value. As part of our team you will benefit from an excellent working culture built on individual empowerment and mutual support.

What we’re looking for from you:

• Preferably PhD qualified in a related area, either holding or completing the PhD, or relevant Post-Doctoral or Industry experience would be highly beneficial
• A degree with strong mathematical content e.g. Mathematics, Engineering (e.g. Aeronautical, Mechanical, etc), Physics, Computer Science, or similar
• A keen curiosity about cutting-edge technologies and their applications
• Specific knowledge in any of the following areas is of benefit:

• Image Processing Algorithms: Segmentation, Filter Design, Noise Removal, Compression, Super Resolution
• Computer Vision Algorithms: Tracking, Optical Flow, Particle Filtering, Pose Estimation
• Deep Learning techniques: Detection, Classification, Tracking, Siamese Networks
• Inverse Problems / Computational Imaging: Sparse Coding, Compressive Sensing
• Machine Learning: Support Vector Machines, Neural Networks
• Domain Specific Signal Processing: Multi/Hyper-Spectral, RF, IR, SAR, STAP

The primary development environments used within the department are Matlab/Simulink and Python (including PyTorch Deep Learning libraries).

What’s in it for you?

• Every day you will work in a friendly and motivated team
• You will play a key role in the development of our complex weapon systems, and gain in-depth knowledge of their design and functionality
• You will collaborate with other engineers from a broad range of subject areas
• You will be working on cutting-edge technological innovations
• You will have the opportunity to work within an international field that has strong links to MBDA sites in France and Germany that will provide the opportunity for European travel
• You will have the opportunity to attend workshops and conferences both nationally and internationally
• We invest in your success and have development, leadership and mentorship programmes available

MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom.

We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity and more. We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process.