Graduate Computer Vision & AI Engineer in Defense Tech

Graduate Computer Vision & AI Engineer in Defense Tech

Full-Time 58500 - 71500 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Contribute to image processing and AI algorithms for advanced missile systems.
  • Company: Join MBDA, a leader in defence technology with a focus on innovation.
  • Benefits: Ongoing salary reviews, joining bonus, and strong career growth opportunities.
  • Other info: Dynamic two-year graduate programme with international collaboration.
  • Why this job: Make a real impact in defence tech while learning and innovating.
  • Qualifications: Passion for AI and computer vision; teamwork skills are essential.

The predicted salary is between 58500 - 71500 £ per year.

MBDA is seeking a Computer Vision and Artificial Intelligence Engineer as part of the Graduate Programme 2027.

You will contribute to image processing and AI algorithms for cutting-edge missile systems, working in a team that values innovation and hands-on learning.

Join a two-year programme with ongoing salary reviews, a joining bonus, and strong growth opportunities.

The role requires on-site work in the UK, security clearance process, and collaboration with international teams.

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Graduate Computer Vision & AI Engineer in Defense Tech 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.

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Contact Details:

MBDA Miissle System Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Graduate Computer Vision & AI Engineer in Defense Tech

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at MBDA Miissle System or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to MBDA Miissle System.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like MBDA Miissle System.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like MBDA Miissle System that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Graduate Computer Vision & AI Engineer in Defense Tech

Image Processing
Artificial Intelligence
Computer Vision
Algorithm Development
Team Collaboration
Innovation
Hands-on Learning

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.