At a Glance
- Tasks: Develop cutting-edge algorithms in computer vision and AI for real-world applications.
- Company: Join MBDA, a leading defence organisation committed to innovation and teamwork.
- Benefits: Earn £24,460 pro-rata, enjoy subsidised meals, and gain valuable experience.
- Other info: Dynamic team environment with opportunities for career growth and professional development.
- Why this job: Make a real impact from day one while shaping future technologies.
- Qualifications: Current undergraduate in computer science, mathematics, engineering, or related STEM field.
The predicted salary is between 24460 - 24460 £ 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 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.
Salary: £24,460 (pro-rata)
Dynamic 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.
This role is scheduled to close for applications at midnight on Monday 4th January 2027 but may close earlier depending on application volumes.
What we can offer you:
- 10 week placement: Starting June 2027, that allows you to apply your university learning to real-world projects and technologies
- Perform well on your placement and you could secure a graduate role before your final year
- Pension: Maximum total (employer and employee) contribution of up to 14%
- Overtime: Opportunity for paid overtime
- Annual Leave: 5 days
- Facilities: Fantastic site facilities including subsidised meals, free car parking and much more…
The opportunity:
As a summer placement within Image Processing UK, 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 friendly and motivated team to research and solve problems in an exciting and cutting-edge field. You’ll own and guide your own research project, and have exposure to many different projects, in different areas within the department. This means that the learning opportunities are huge, and by the end of the placement you will have a broad range of hugely 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 and undergraduates 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 summer placements and 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.
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. Security is a key consideration for the business and as such, the majority of your work will be conducted on site; a positive result of which is that our office remains a social and collaborative working environment. Nevertheless, there can be opportunities for home working depending on the nature of the task.
What we’re looking for from you:
Current undergraduate working towards a degree in computer science, mathematics, engineering or a related STEM field.
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 - Summer Placement 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 - Summer Placement 2027
✨Get Involved with Open Source Projects
Diving into open source is a fantastic way to showcase your skills and build a solid portfolio that speaks volumes. Contributing to projects on platforms like GitHub not only helps you learn, but it puts your work in front of potential employers, including places like MBDA Miissle System!
✨Attend Hackathons and Tech Meetups
Jumping into hackathons or local tech meetups can give you great exposure to the industry. Not only do you get to network with like-minded individuals, but you might even catch the attention of recruiters from companies like MBDA Miissle System while collaborating on exciting projects.
✨Leverage University Career Services
Don’t underestimate the power of your university's career services! They often have connections with companies looking for placement candidates like us. They can guide you on preparing for interviews and even help set up networking events.
✨Show Off Your Projects on Your Personal Website
Create a portfolio website to showcase your coding projects and development skills. This is a brilliant way to give a peek into your personality and capabilities while letting potential employers like MBDA Miissle System see your work up close. Plus, it shows you're proactive!
We think you need these skills to ace Computer Vision and Artificial Intelligence Engineer - Summer Placement 2027
Some tips for your application 🫡
Show Off Your Projects:In software engineering, showcasing your portfolio is key! Include links to GitHub repositories or any relevant projects you've worked on. This will give us a clear idea of your coding skills and what you can bring to MBDA Miissle System.
Highlight Relevant Skills:Make sure to emphasise programming languages, frameworks, and tools you’re familiar with on your CV. For a placement, we love seeing candidates who are eager to learn and adapt, so don’t hesitate to include any relevant coursework or certifications you’ve completed.
Tailor Your Cover Letter:In your cover letter, focus on why you’re interested in a placement with MBDA Miissle System specifically. Tell us what you hope to learn and how we fit into your career goals—not just what you can do for us, but what you want to gain from the experience.
Be Ready to Talk Tech:Prepare for the possibility of a technical assessment or interview. Brush up on coding challenges and be ready to discuss your approach to problem-solving. Remember, we are looking for your thought process and ability to learn, not just the correct answer!
How to prepare for a job interview at MBDA Miissle System
✨Brush Up on Your Coding Skills
For a software engineering placement at MBDA Miissle System, be ready to tackle coding challenges. You might face questions on algorithms, data structures, or even a live coding session. Practising on platforms like LeetCode or HackerRank can really sharpen your skills and boost your confidence!
✨Showcase Your Projects
Have a couple of your projects on hand to discuss during the interview. Whether it's a personal project or something from your coursework, being able to explain your thought process, the technologies you used, and any challenges you faced can make a great impression. Be prepared to dive into the specifics and even share your GitHub link!
✨Understand the Tech Stack
Make sure you're familiar with the technologies and tools that MBDA Miissle System uses. If you see mentions of specific languages or frameworks in the job description, brush up on them. This shows your enthusiasm and preparedness for the role, making you a more attractive candidate!
✨Be Ready to Learn and Adapt
As this is a placement, the hiring team at MBDA Miissle System will be keen to hear about your motivation and potential to grow. Be open about what you want to learn from the role. Highlight experiences where you've adapted to new situations or picked up new skills quickly to showcase your enthusiasm for the opportunity.
