Computer Vision Engineer
Computer Vision Engineer

Computer Vision Engineer

Full-Time 50000 - 70000 £ / year (est.) No home office possible
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SPAICE

At a Glance

  • Tasks: Develop cutting-edge computer vision algorithms for satellites and drones.
  • Company: Join SPAICE, a leader in autonomy operating systems for aerospace.
  • Benefits: Competitive salary, flexible hours, and opportunities for hands-on experience.
  • Why this job: Make a real impact on space missions and autonomous technology.
  • Qualifications: Experience in computer vision and a passion for innovation.
  • Other info: Collaborative environment with exciting career growth in aerospace.

The predicted salary is between 50000 - 70000 £ per year.

About SPAICE

SPAICE is building the autonomy operating system that empowers satellites and drones to navigate and interact with the world – regardless of the environment. From GPS-denied zones on Earth to the unexplored frontiers of space, our Spatial AI delivers unprecedented levels of autonomy, resilience, and adaptability. At SPAICE, you’ll work on real missions alongside leading aerospace and defense contractors, shaping the future of space and autonomous systems. If you’re looking for a place where your work has a real, tangible impact – SPAICE is that place.

About the Role

Satellites that detect

Computer Vision Engineer employer: SPAICE

SPAICE is an exceptional employer that fosters a culture of innovation and collaboration, where Computer Vision Engineers can thrive while working on groundbreaking projects in the aerospace and defence sectors. With a commitment to employee growth, SPAICE offers continuous learning opportunities and the chance to contribute to missions that have a significant impact on both Earth and space. Located in a dynamic environment, employees enjoy a unique blend of cutting-edge technology and meaningful work that drives the future of autonomy.
SPAICE

Contact Detail:

SPAICE Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Computer Vision Engineer

✨Tip Number 1

Network like a pro! Reach out to people in the aerospace and defence sectors, especially those working with computer vision. A friendly chat can open doors that a CV just can't.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects related to computer vision and autonomy systems. This is your chance to demonstrate what you can bring to SPAICE beyond just words on paper.

✨Tip Number 3

Prepare for the interview like it’s a mission briefing. Research SPAICE’s projects and think about how your experience aligns with their goals. Be ready to discuss how you can contribute to their cutting-edge work.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.

We think you need these skills to ace Computer Vision Engineer

Computer Vision
Machine Learning
Deep Learning
Image Processing
Algorithm Development
Programming (Python, C++)
Data Analysis
Robotics
Autonomous Systems
Spatial AI
Problem-Solving Skills
Collaboration
Adaptability

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in computer vision and autonomy systems. We want to see how your skills align with our mission at SPAICE, so don’t be shy about showcasing your projects!

Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re passionate about working with satellites and drones. Share your enthusiasm for the role and how you can contribute to our innovative team at SPAICE.

Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled complex challenges in previous roles. We love seeing candidates who can think critically and adapt to new situations, especially in the fast-paced world of aerospace.

Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people at SPAICE!

How to prepare for a job interview at SPAICE

✨Know Your Tech

Make sure you brush up on the latest advancements in computer vision and spatial AI. Be ready to discuss specific algorithms, frameworks, and tools you've used in past projects. This shows your technical prowess and genuine interest in the field.

✨Understand Their Mission

Dive deep into SPAICE's mission and projects. Familiarise yourself with how their technology empowers satellites and drones. Being able to articulate how your skills align with their goals will set you apart from other candidates.

✨Prepare for Problem-Solving Questions

Expect to tackle some real-world problems during the interview. Practice explaining your thought process clearly and logically. Use examples from your experience where you successfully solved complex issues related to autonomy or navigation.

✨Show Your Passion for Space Tech

SPAICE is all about innovation in aerospace and defence. Share your enthusiasm for space exploration and autonomous systems. Whether it's a project you've worked on or a personal interest, let your passion shine through – it can make a lasting impression!

Computer Vision Engineer
SPAICE
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