At a Glance
- Tasks: Own model deployment and optimisation for real-time computer vision in production.
- Company: Specialist tech company scaling a cutting-edge AI platform.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make an impact by optimising AI models and video pipelines in a dynamic environment.
- Qualifications: Strong Python skills, hands-on experience with PyTorch, and solid computer vision fundamentals.
- Other info: Collaborate closely with systems engineers in a fast-paced, innovative setting.
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 a Senior Computer Vision Engineer to own model deployment and optimisation in production environments. This is a hands-on role focused on real-time computer vision, optimising models and video pipelines under performance and latency constraints, with 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
Desirable Experience
- 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
Profile Sought
- Senior 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!
Locations
Senior Computer Vision Engineer in Cheshire, Winsford employer: Adria Solutions
Contact Detail:
Adria Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Computer Vision Engineer in Cheshire, Winsford
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups or webinars, and connect with other 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 computer vision and real-time AI. This is your chance to demonstrate your hands-on experience with Python, PyTorch, and video processing frameworks.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of model deployment and optimisation. Be ready to discuss your experience with GPU performance and how you've tackled real-world problems in previous roles.
✨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 Senior Computer Vision Engineer in Cheshire, Winsford
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong Python experience and hands-on work with PyTorch. We want to see how you've tackled real-time computer vision challenges, so don’t hold back on sharing specific examples!
Be Specific About Your Experience: When discussing your background, focus on your practical experience with video processing frameworks like GStreamer or FFmpeg. We love details, so mention any projects where you optimised models for production environments.
Communicate Clearly: As a Senior Computer Vision Engineer, clear communication is key. Make sure your application is well-structured and easy to read. We appreciate candidates who document their work effectively, so show us you can do that!
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 this exciting role. Don’t miss out!
How to prepare for a job interview at Adria Solutions
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills, especially for ML and inference workflows. Be ready to discuss your hands-on experience with PyTorch and how you've tackled real-time computer vision challenges in the past.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've optimised models and video pipelines under performance constraints. Think about specific instances where you balanced model accuracy with inference speed, as this will demonstrate your practical understanding of production trade-offs.
✨Familiarise Yourself with Video Processing Frameworks
Get comfortable discussing frameworks like GStreamer and FFmpeg. If you've deployed models into production environments, be ready to share your experiences and any challenges you faced during the process.
✨Communicate Clearly and Document Well
As a senior engineer, clear communication is key. Practice explaining complex concepts simply and ensure you can articulate your thought process. Highlight your documentation practices, as this shows your ability to collaborate effectively with systems engineers.