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- Tasks: Lead the deployment and optimisation of real-time computer vision models in production.
- Company: Innovative tech company in the UK focused on cutting-edge technology.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact by solving practical problems with advanced computer vision technology.
- Qualifications: Strong Python skills, experience with PyTorch, and knowledge of video processing frameworks.
- Other info: Join a collaborative team that values effective communication and innovative solutions.
The predicted salary is between 43200 - 72000 £ per year.
A technology company in the UK is seeking a Senior Computer Vision Engineer to lead model deployment and optimisation in production settings. This hands-on position will focus on real-time computer vision, including optimising models and managing video pipelines within performance constraints.
Ideal candidates will have strong Python skills, experience with PyTorch, and practical knowledge of video processing frameworks. Join a team that values pragmatic problem-solving and effective communication.
Real-Time Computer Vision Engineer, Production-Focused in London employer: Adria Solutions Ltd
Contact Detail:
Adria Solutions Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Real-Time Computer Vision Engineer, Production-Focused in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at tech meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving real-time computer vision and model optimisation. We want to see your hands-on experience with Python and PyTorch in action!
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. We recommend practicing coding challenges and discussing your thought process out loud, as communication is key in our field.
✨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 Real-Time Computer Vision Engineer, Production-Focused in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and PyTorch skills in your application. We want to see how you've used these tools in real-world scenarios, especially in video processing and model optimisation.
Be Specific About Your Experience: When detailing your past roles, focus on your hands-on experience with real-time computer vision. Share specific projects where you’ve managed video pipelines or optimised models under performance constraints.
Communicate Clearly: Effective communication is key for us. In your written application, be clear and concise about your problem-solving approach and how you collaborate with teams to achieve results.
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 don’t miss out on any important updates from 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 and get comfortable with PyTorch. Be ready to discuss specific projects where you've optimised models or managed video pipelines, as this will show your hands-on experience in real-time computer vision.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in previous roles. Think about situations where you had to optimise performance under constraints, and be ready to explain your thought process and the outcomes.
✨Communicate Clearly and Effectively
Since the company values effective communication, practice explaining complex technical concepts in simple terms. This will demonstrate your ability to collaborate with team members who may not have a technical background.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to model deployment and optimisation. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.
