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- Tasks: Own model deployment and optimisation for real-time computer vision projects.
- Company: Specialist tech company near Cambridge with a focus on AI innovation.
- Benefits: Competitive salary, hands-on experience, and opportunities for growth.
- Why this job: Join a dynamic team and make an impact in cutting-edge AI technology.
- Qualifications: Strong Python skills and experience with PyTorch and computer vision fundamentals.
- Other info: Collaborative environment with exciting challenges in real-world systems.
The predicted salary is between 36000 - 60000 £ per year.
My Client is a specialist technology company scaling a real-time AI platform and is seeking Computer Vision Engineers to own model deployment and optimisation in production environments.
Hands-on role focused on real-time computer vision, optimising models and video pipelines under performance and latency constraints. Close collaboration with systems engineers.
Essential Skills & Experience- Strong Python experience for ML and inference workflows
- Hands-on experience with PyTorch
- Solid grounding in computer vision fundamentals (object detection, tracking, classification)
- Experience deploying models into production environments
- Practical experience with video processing frameworks (e.g. GStreamer, FFmpeg)
- Experience optimising inference performance on GPU or edge platforms
- Edge AI or embedded GPU platforms
- Real-time or multi-stream video pipelines
- TensorRT, ONNX, or similar optimisation toolchains
- Linux-based development environments
- Containerised ML or inference deployments
- Experience balancing model accuracy vs. inference speed in constrained environments
- Engineer who remains hands-on with models and code
- Comfortable working outside of pure research environments
- Pragmatic problem-solver who understands production trade-offs
- Enjoys debugging complex, real-world systems
- Clear communicator who documents work effectively
Interested? Please Click Apply Now!
Computer Vision Engineer X 3 in Cambridge employer: Adria Solutions Ltd
Contact Detail:
Adria Solutions Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Vision Engineer X 3 in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups or webinars, and connect with other Computer Vision Engineers. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, PyTorch, and video processing frameworks. Having tangible examples of your work can really set you apart during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your computer vision fundamentals. Be ready to discuss object detection, tracking, and classification, as well as how you've optimised models in production environments.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Computer Vision Engineer X 3 in Cambridge
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong Python experience and hands-on work with PyTorch in your application. We want to see how you've tackled real-world computer vision problems, so don’t hold back on sharing specific examples!
Be Specific About Your Experience: When discussing your experience with model deployment and optimisation, be clear about the frameworks you've used, like GStreamer or FFmpeg. We love details, so let us know how you’ve optimised inference performance on GPU or edge platforms.
Communicate Clearly: Since we value clear communication, make sure your application is well-structured and easy to read. Document your work effectively in your CV and cover letter, showing us that you can communicate complex ideas simply.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Adria Solutions Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills, especially for ML and inference workflows. Familiarise yourself with PyTorch and be ready to discuss your hands-on experience with it. The more you can demonstrate your technical prowess, the better!
✨Showcase Your Real-World Experience
Prepare examples of how you've deployed models into production environments. Talk about specific projects where you optimised video pipelines or worked with frameworks like GStreamer or FFmpeg. Real-world applications will impress your interviewers.
✨Understand Performance Trade-offs
Be ready to discuss how you balance model accuracy with inference speed, especially in constrained environments. They’ll want to see that you can pragmatically solve problems while keeping performance in mind.
✨Communicate Clearly and Document Well
Practice explaining complex concepts in a clear and concise manner. Since collaboration with systems engineers is key, showing that you can document your work effectively will set you apart as a strong communicator.