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- Tasks: Lead the development of advanced AI vision systems for defence applications.
- Company: Join a pioneering organisation at the forefront of AI technology in the defence sector.
- Benefits: Enjoy 28 days' leave, flexible working, and rapid career growth opportunities.
- Why this job: Shape the future of AI tools while tackling real-world challenges with national importance.
- Qualifications: 5+ years in AI/computer vision, strong Python skills, and experience with embedded systems required.
- Other info: British citizenship and Security Clearance eligibility are essential.
The predicted salary is between 68000 - 91000 £ per year.
We’re working with a pioneering organisation developing next-generation AI systems for the defence sector. With a focus on multi-sensor intelligence and edge deployment, they’re tackling real-world challenges with national importance. Now expanding their core team, they’re hiring a Senior Computer Vision Engineer to lead on critical system development.
The Senior Computer Vision Engineer will join a talented R&D group, shaping the future of AI-powered perception tools that support defence applications in the field.
Role Highlights
- Design and build advanced vision systems using data from visual, thermal, radar and LiDAR sensors
- Deploy robust AI models to embedded platforms like Jetson and Raspberry Pi
- Develop scalable ML pipelines for secure and air-gapped environments
- Collaborate with domain experts to deliver field-ready systems
- Influence the technical direction of sensor fusion and situational awareness tools
You Will Need
- British citizenship and eligibility for Security Clearance (SC)
- 5+ years' experience in AI or computer vision with operational deployment exposure
- Proven track record delivering into defence, aerospace or similarly regulated industries
- Strong Python skills and hands-on use of ML frameworks (e.g. PyTorch, TensorFlow)
- Practical experience with embedded systems and edge deployment
Why You’ll Love It
- 28 days' annual leave plus public holidays
- Flexible working policy
- Rapid career growth in a high-trust, start-up environment
Apply now to take your career to the next level with a pioneering company.
Computer Vision Engineer employer: NearTech Search
Contact Detail:
NearTech Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Vision Engineer
✨Tip Number 1
Make sure to showcase your experience with AI and computer vision in your conversations. Highlight specific projects where you've deployed models in real-world scenarios, especially in defence or regulated industries.
✨Tip Number 2
Familiarise yourself with the latest advancements in multi-sensor intelligence and edge deployment. Being able to discuss current trends and technologies will demonstrate your passion and knowledge during interviews.
✨Tip Number 3
Network with professionals in the defence sector and attend relevant industry events. Building connections can provide insights into the company culture and may even lead to referrals.
✨Tip Number 4
Prepare to discuss your hands-on experience with Python and ML frameworks like PyTorch and TensorFlow. Be ready to explain how you've used these tools in past projects, particularly in embedded systems.
We think you need these skills to ace Computer Vision Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and computer vision, especially any projects related to defence or regulated industries. Use specific examples that demonstrate your skills with Python and ML frameworks like PyTorch or TensorFlow.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and its applications in the defence sector. Mention your relevant experience and how it aligns with the role's requirements, particularly your hands-on experience with embedded systems and edge deployment.
Showcase Relevant Projects: If you have worked on projects involving multi-sensor intelligence or situational awareness tools, be sure to include these in your application. Detail your role in these projects and the impact they had, as this will demonstrate your capability to influence technical direction.
Highlight Security Clearance Eligibility: Since British citizenship and eligibility for Security Clearance are required, make sure to mention your citizenship status clearly in your application. This will reassure the employer of your compliance with their security requirements.
How to prepare for a job interview at NearTech Search
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and ML frameworks like PyTorch and TensorFlow. Bring examples of projects where you've successfully deployed AI models, especially in embedded systems.
✨Understand the Defence Sector
Familiarise yourself with the specific challenges and regulations within the defence and aerospace industries. Demonstrating knowledge about how your work can impact national security will impress the interviewers.
✨Highlight Collaboration Experience
Since the role involves working with domain experts, be ready to share examples of how you've collaborated in past projects. Emphasise your ability to communicate complex technical concepts to non-technical stakeholders.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world situations. Think of scenarios where you've had to design or troubleshoot vision systems under constraints, and be ready to explain your thought process.
