Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Own model deployment and optimisation for real-time computer vision projects.
- Company: Specialist tech company scaling a cutting-edge AI platform.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact in AI while working with innovative technologies.
- Qualifications: Strong Python skills and hands-on experience with PyTorch and video processing.
- Other info: Dynamic role with excellent career advancement opportunities.
The predicted salary is between 48000 - 72000 £ 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.
- Strong Python experience for ML and inference workflows
- Hands-on experience with PyTorch
- 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
- 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
Computer Vision Engineer in London 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 in London
✨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 real-time computer vision and model optimisation. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and PyTorch skills. Be ready to discuss your experience with video processing frameworks and how you've tackled performance issues in the past. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. So, hit that 'Apply Now' button and let’s get you started!
We think you need these skills to ace Computer Vision Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your hands-on experience with Python, PyTorch, and video processing frameworks. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Showcase Your Projects: Include specific examples of model deployment and optimisation you've done in production environments. We love seeing real-world applications of your work, especially if they involve balancing accuracy and speed!
Be Clear and Concise: When writing your cover letter, keep it straightforward. We appreciate clear communication, so explain why you’re a great fit for the role without fluff. Highlight your problem-solving skills and your experience with complex systems.
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 on joining our team!
How to prepare for a job interview at Adria Solutions Ltd
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, PyTorch, and the video processing frameworks mentioned in the job description. Brush up on your knowledge of TensorRT and ONNX too. Being able to discuss your hands-on experience with these tools will show that you’re not just familiar with them but can actually apply them in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in model deployment and optimisation. Think about times when you had to balance model accuracy with inference speed. Sharing concrete examples will demonstrate your pragmatic approach to problem-solving and your understanding of production trade-offs.
✨Communicate Clearly and Effectively
Since the role requires close collaboration with systems engineers, practice articulating your thoughts clearly. Be ready to explain complex concepts in a straightforward manner. Also, emphasise your documentation skills; being able to document your work effectively is crucial in a team environment.
✨Demonstrate Your Hands-On Experience
Be prepared to discuss your practical experience with deploying models into production environments. Highlight any projects where you’ve optimised video pipelines or worked with edge AI platforms. This will help convey that you’re a senior engineer who remains engaged with the technical aspects of the role.
