At a Glance
- Tasks: Develop cutting-edge algorithms for complex weapon systems using AI and computer vision.
- Company: Join a leading defence technology company with a focus on innovation.
- Benefits: Competitive salary, bonuses, flexible working, and generous leave policies.
- Other info: Opportunities for international travel and professional development.
- Why this job: Make a real impact in defence technology while working with a motivated team.
- Qualifications: PhD or relevant experience in AI, computer vision, or related fields.
The predicted salary is between 62000 - 62000 £ per year.
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.
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. As a minimum and after the 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 arrangements welcomed
- Enhanced parental leave: up to 26 weeks for maternity, adoption and shared parental leave, with enhancements 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 you will research, develop and evaluate will form part of the next generation of complex weapon systems, using imaging sensors to provide situational awareness and guide weapons to their target with maximum precision. You will have a direct influence on meaningful design decisions and work within an innovative, cohesive department that values the contributions of each individual.
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 beneficial:
- 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?
- Friendly and motivated team environment
- Key role in the development of complex weapon systems, gaining in‑depth knowledge of their design and functionality
- Collaboration with engineers from a broad range of subject areas
- Opportunity to work on cutting‑edge technological innovations
- International field with strong links to MBDA sites in France and Germany, providing opportunities for European travel
- Opportunities to attend workshops and conferences both nationally and internationally
- Development, leadership and mentorship programmes available
We are a firm supporter of equal opportunity for all, and are proud to be a diverse engineering team.
Computer Vision and Artificial Intelligence Engineer in Bristol employer: Mbda Uk
At MBDA, we pride ourselves on being an excellent employer, offering a dynamic and supportive work environment for Computer Vision and Artificial Intelligence Engineers. With competitive salaries, generous benefits including a company bonus, flexible working arrangements, and opportunities for professional growth through mentorship and international collaboration, we empower our employees to make meaningful contributions to cutting-edge technologies in the defence sector. Join us in a friendly team atmosphere where your expertise will directly influence the development of next-generation complex weapon systems.
StudySmarter Expert Advice🤫
We think this is how you could land Computer Vision and Artificial Intelligence Engineer in Bristol
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, conferences, or even online webinars. The more you engage with others, the better your chances of hearing about job openings before they’re even advertised.
✨Show Off Your Skills
Create a portfolio showcasing your projects and skills in computer vision and AI. Whether it’s GitHub repos or a personal website, let your work speak for itself. This is your chance to impress potential employers with what you can do!
✨Ace the Interview
Prepare for technical interviews by brushing up on algorithms and coding challenges relevant to the role. Practice common interview questions and be ready to discuss your past projects in detail. Confidence is key, so show them what you’ve got!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Computer Vision and Artificial Intelligence Engineer in Bristol
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Computer Vision and AI Engineer role. Highlight relevant experience, especially in image processing and deep learning techniques. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit. We love seeing enthusiasm and a clear connection to what we do.
Showcase Your Projects:If you've worked on any projects related to computer vision or AI, make sure to mention them! Whether it's academic work or personal projects, we want to see your hands-on experience and creativity in action.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Mbda Uk
✨Know Your Algorithms
Brush up on your knowledge of image processing and computer vision algorithms. Be ready to discuss specific techniques like segmentation, tracking, and deep learning methods. Showing that you can apply these concepts practically will impress the interviewers.
✨Show Your Curiosity
Demonstrate your keen interest in cutting-edge technologies. Prepare questions about the latest advancements in AI and how they could impact MBDA's products. This shows you're not just knowledgeable but also passionate about the field.
✨Familiarise with Development Tools
Make sure you're comfortable with Matlab/Simulink and Python, especially PyTorch. You might be asked to solve a problem or discuss your experience with these tools, so having hands-on examples ready will give you an edge.
✨Understand the Company Culture
Research MBDA’s values and recent projects. Being able to align your personal values with the company’s mission will help you stand out. Mentioning their commitment to diversity and innovation can show that you’re a good cultural fit.
