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.
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
Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team.
What we can offer you:
*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 opportunity:
As a Computer Vision and Artificial Intelligence Engineer, you will be an essential team member at an exciting time of growth and opportunity. The algorithms that you will research, develop and evaluate will form part of the next generation of complex weapon systems.
The primary development environments used within the department are Matlab/Simulink and Python (including PyTorch Deep Learning libraries).
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.
What we’re looking for from you:
*Preferably PhD qualified in a related area, either holding or completing the PhD
*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
Although not essential, relevant experience in either Post-Doctoral or Industry would be highly beneficial.
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
What’s in it for you?
*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
Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given
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.
Follow us on LinkedIn (MBDA), X (@MBDA_UK), Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information.


#LI-CT1