At a Glance
- Tasks: Join us to develop cutting-edge algorithms in Computer Vision and AI for defence technologies.
- Company: MBDA, a leading defence organisation committed to supporting the Armed Forces.
- Benefits: Enjoy a competitive salary, bonuses, flexible leave, and excellent career progression.
- Other info: Opportunities for international collaboration, travel, and ongoing professional development.
- Why this job: Make a real impact from day one in an innovative and supportive team environment.
- Qualifications: Degree in Computer Science, Engineering, Mathematics, Physics or related STEM discipline.
The predicted salary is between 31900 - 31900 £ per year.
Salary: £31,900 plus a £3000 joining bonus
Dynamic Working: Typically 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.
This role is scheduled to close for applications at midnight on Monday 2nd November 2026 but may close earlier depending on application volumes.
What we can offer you:
- 2 year Programme: Starting September 2027
- Annual Salary Review
- 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
- Annual Leave: 25 days plus option to purchase extra holiday
- Flexi Leave: Up to 15 additional days
- Excellent career progression and development opportunities
- Facilities: Fantastic site facilities including subsidised meals, free car parking and much more…
- Healthcare Cash Plan: The Healthcare Cash Plan benefit provides the option to claim cash back on everyday healthcare expenses such as optical, dental, health and wellbeing and more.
The opportunity:
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-leading 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. 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. You will be a key team member at an exciting time of growth and opportunity, and have the chance to make a difference from day one. Every day you will work in a supported and motivated team to research and solve problems in an exciting and cutting-edge field. As part of the graduate programme, you will be involved with many different projects, in a variety of areas within the department. This means that there are endless learning opportunities, and by the end of the programme you will have a broad range of applicable experience. You will have the opportunity to shape your own work, and future departmental research directions.
Your day-to-day work will involve:
- Utilising Image Processing, Computer Vision, Artificial Intelligence (AI), and Computational Imaging techniques, to conduct research studies into cutting-edge technological innovations for future products. Examples of applications you might work on include classification, detection, tracking, and pose estimation.
- Developing algorithms as part of a wider product programme; working in collaboration with expert engineers and other graduates from a broad range of fields, and gaining an in-depth knowledge of the weapon's design and functionality.
Within these tasks, you will have the opportunity to develop skills with the following tools and platforms:
- Matlab and Simulink
- Python
- Deep Learning libraries (e.g. Pytorch, scikit-learn, ONNX)
- C/C++
- Hardware development boards (e.g. NVIDIA Jetson products)
Alongside involvement with departmental activities, you will be part of a wider cohort of graduates on the Early Careers Programme. Benefits from this include receiving ongoing support in the development of your professional career, as well as opportunities for involvement in charity and STEM outreach schemes. Many projects within Image Processing are international in scope, and can offer the opportunity for European travel and collaboration with French, German and Italian colleagues. All MBDA employees can take advantage of free language training, as well as a wide range of other benefits including retail discounts and share purchase schemes.
What we're looking for from you:
Degree in Computer Science, Engineering, Mathematics, Physics or related STEM discipline to a minimum of 2:2
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, Disability 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.
Computer Vision and Artificial Intelligence Engineer - Graduate Programme 2027 employer: MBDA Miissle System
MBDA is an exceptional employer, offering a dynamic work environment that fosters employee growth and development. With competitive benefits such as a company bonus, generous pension contributions, and flexible working arrangements, employees are empowered to balance their professional and personal lives while contributing to vital defence projects. The inclusive work culture, supported by various employee-led networks, ensures that every individual feels valued and has the opportunity to thrive in their career.
StudySmarter Expert Advice🤫
We think this is how you could land Computer Vision and Artificial Intelligence Engineer - Graduate Programme 2027
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We think you need these skills to ace Computer Vision and Artificial Intelligence Engineer - Graduate Programme 2027
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at MBDA Miissle System.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at MBDA Miissle System and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at MBDA Miissle System
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If MBDA Miissle System uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
