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, health benefits, and opportunities for professional growth.
- Other info: Dynamic environment with excellent career growth opportunities.
- Why this job: Make an impact by optimising AI models and video pipelines in a hands-on role.
- Qualifications: Strong Python skills, experience with PyTorch, and video processing frameworks.
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.
Hands-on role focused on real-time computer vision, optimising models and video pipelines under performance and latency constraints. 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 employer: Adria Solutions Ltd
Adria Solutions Ltd is an excellent employer that fosters a dynamic and collaborative work culture, perfect for creative minds looking to make an impact in the financial services sector. With a focus on employee growth, we offer ongoing training and development opportunities, ensuring our team members thrive in their careers while enjoying the flexibility of hybrid working in the vibrant city of Manchester.
StudySmarter Expert Advice🤫
We think this is how you could land Computer Vision Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings.
✨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.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and ML workflows. Practice coding challenges and be ready to discuss your experience with tools like PyTorch and video processing frameworks.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and eager to join our team.
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 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 a theorist but someone who can get things done.
✨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. Real-world examples will demonstrate your pragmatic approach and ability to navigate production trade-offs.
✨Communicate Clearly and Effectively
Since the role requires close collaboration with systems engineers, practice explaining complex concepts in simple terms. Be ready to document your work and share how you’ve communicated technical details in past projects. Clear communication is key in a hands-on role like this.
✨Demonstrate Your Hands-On Experience
Be prepared to discuss your practical experience with deploying models into production environments. Highlight any work you've done with edge AI or embedded GPU platforms, and be ready to talk about optimising video pipelines under performance constraints. This will show that you’re comfortable working outside of pure research environments.
