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- Tasks: Join a research team to develop advanced computer vision algorithms and models.
- Company: Innovative tech company focused on cutting-edge computer vision technology.
- Benefits: Competitive salary, flexible working arrangements, and opportunities for professional growth.
- Why this job: Dive into exciting projects that push the boundaries of computer vision and machine learning.
- Qualifications: Degree in Computer Science or related field; strong Python skills required.
- Other info: Collaborative environment with potential for real-world impact and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
Seeking a talented and motivated Computer Vision Engineer to join a research team. The ideal candidate will have a passion for exploring cutting-edge techniques in computer vision, with strong skills in Python (C++ proficiency is a plus) and experience with machine learning frameworks such as TensorFlow or PyTorch. This role will involve conducting research and developing advanced computer vision algorithms and models, with a focus on object detection, depth detection, and other techniques applicable to live camera environments.
Requirements:
- Master’s or degree in Computer Science, Electrical Engineering, or a related field with a focus on computer vision or machine learning (beneficial)
- Strong programming skills in Python; proficiency in C++ is a plus
- Experience with machine learning frameworks such as TensorFlow or PyTorch
- Solid understanding of computer vision principles and techniques, including object detection, depth estimation, image segmentation, etc.
- Hands-on experience with developing computer vision algorithms and models
- Familiarity with image processing techniques and libraries
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills
Nice to haves:
- Published research in computer vision or related fields.
- Experience with deploying computer vision solutions in real-world applications.
- Knowledge of optimization techniques for real-time performance.
- Familiarity with hardware acceleration techniques for computer vision tasks (e.g., GPU, FPGA).
- Experience with cloud-based computing and services.
Computer Vision Engineer in Surrey employer: IC Resources
Contact Detail:
IC Resources Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Vision Engineer in Surrey
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, 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, TensorFlow, or PyTorch. Having tangible examples of your work can really set you apart when chatting with potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your computer vision principles and algorithms. Practice coding challenges related to object detection and image segmentation, as these are likely to come up during interviews.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Computer Vision Engineer in Surrey
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for computer vision shine through! We want to see that you’re not just skilled, but genuinely excited about exploring cutting-edge techniques and contributing to our research team.
Tailor Your Skills: Make sure to highlight your programming skills in Python and any experience with C++. We’re looking for someone who can develop advanced algorithms, so don’t forget to mention your familiarity with TensorFlow or PyTorch in your application!
Demonstrate Your Experience: Include specific examples of your hands-on experience with computer vision projects. Whether it’s object detection or depth estimation, we want to know how you’ve applied your knowledge in real-world scenarios.
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 during the process!
How to prepare for a job interview at IC Resources
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and have a solid understanding of machine learning frameworks like TensorFlow or PyTorch. Be ready to discuss specific projects where you've applied these technologies, especially in computer vision tasks like object detection or image segmentation.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous projects and how you tackled them. Think of examples that highlight your analytical skills and your ability to develop innovative solutions in real-time environments.
✨Research the Company’s Work
Familiarise yourself with the company’s recent projects and research in computer vision. This will not only help you understand their focus areas but also allow you to ask insightful questions during the interview, showing your genuine interest in their work.
✨Communicate Clearly and Collaboratively
Since this role involves teamwork, practice articulating your thoughts clearly. Be prepared to discuss how you’ve collaborated with others in past projects, and demonstrate your ability to communicate complex technical concepts in an understandable way.
