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- Tasks: Design and implement cutting-edge computer vision algorithms and AI models.
- Company: Join a rapidly growing company at the forefront of technology.
- Benefits: Enjoy hybrid working, flexible hours, and opportunities for professional growth.
- Why this job: Work on impactful projects in defence while collaborating with top experts in the field.
- Qualifications: 5+ years in AI/computer vision, strong Python skills, and experience with embedded systems required.
- Other info: Security clearance is necessary; apply only if eligible.
The predicted salary is between 48000 - 72000 £ per year.
My client is currently looking for a Senior Computer Vision Engineer to join their exciting projects. This is an exciting company that is going through a real growth period and you will be working on leading edge projects.
Key Responsibilities
- Design and implement advanced computer vision algorithms using multi-sensor inputs.
- Develop and deploy AI models on edge and embedded platforms (e.g., Nvidia Jetson, Raspberry Pi).
- Build and maintain robust machine learning pipelines for deployment in air-gapped or offline environments.
- Work closely with engineers, researchers and domain experts to integrate perception modules into complete systems.
- Track the latest developments in computer vision, sensor fusion and generative AI, and apply relevant techniques to your work.
- Deliver solutions suitable for mission-critical defence applications with consideration for performance and security.
Required Qualifications & Experience
- At least 5 years of industry experience in AI/computer vision, including delivery into operational systems.
- Demonstrable experience deploying solutions into defence, aerospace, or other regulated domains.
- Deep understanding of computer vision techniques for detection and localisation.
- Strong experience working with embedded or constrained compute platforms.
- Proficiency in Python and major machine learning frameworks (e.g., PyTorch, TensorFlow).
- Experience with version control (Git), containerisation (Docker), and cloud technologies (e.g., AWS).
- Experience with building and maintaining end-to-end ML pipelines.
- Degree (BSc, MSc, or PhD) in Computer Science, Engineering, or a related discipline.
- Strong communication skills and an ability to collaborate effectively with technical and non-technical teams.
This role requires security clearance so please only apply if you are eligible for security clearance or already have security clearance. This role will be hybrid working with 2-3 days a week in the office. Please send your CV across ASAP and call for more information.
Senior Computer Vision Engineer (Oxford) employer: Think IT Resources
Contact Detail:
Think IT Resources Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Computer Vision Engineer (Oxford)
✨Tip Number 1
Familiarise yourself with the latest advancements in computer vision and AI technologies. This will not only help you during interviews but also demonstrate your passion for the field and your commitment to staying updated.
✨Tip Number 2
Network with professionals in the defence and aerospace sectors. Attend relevant conferences or meetups, and connect with people on platforms like LinkedIn. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Showcase your experience with embedded systems and machine learning pipelines through personal projects or contributions to open-source initiatives. This practical experience can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your previous projects in detail, especially those related to defence applications. Be ready to explain your thought process, challenges faced, and how you overcame them, as this will highlight your problem-solving skills.
We think you need these skills to ace Senior Computer Vision Engineer (Oxford)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in AI and computer vision. Focus on projects where you've designed algorithms, deployed AI models, or worked with embedded platforms. Use specific examples to demonstrate your skills.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for computer vision and your understanding of the defence sector. Mention your experience with multi-sensor inputs and any relevant projects that align with the company's goals.
Highlight Technical Skills: Clearly list your proficiency in Python, machine learning frameworks like PyTorch and TensorFlow, and tools such as Git and Docker. Provide examples of how you've used these technologies in past projects.
Showcase Collaboration Experience: Emphasise your ability to work with both technical and non-technical teams. Include examples of successful collaborations and how you integrated perception modules into complete systems.
How to prepare for a job interview at Think IT Resources
✨Showcase Your Technical Skills
Be prepared to discuss your experience with computer vision algorithms and AI models. Highlight specific projects where you've implemented advanced techniques, especially in defence or regulated domains.
✨Demonstrate Collaboration Experience
Since the role involves working closely with engineers and researchers, share examples of how you've successfully collaborated on projects. Emphasise your ability to communicate complex ideas to both technical and non-technical team members.
✨Stay Updated on Industry Trends
Research the latest developments in computer vision, sensor fusion, and generative AI. Be ready to discuss how these trends can be applied to the company's projects, showing your enthusiasm for the field.
✨Prepare for Security Clearance Questions
As this role requires security clearance, be ready to discuss your eligibility. Familiarise yourself with the process and any relevant experiences that demonstrate your reliability and trustworthiness.
