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- Tasks: Enhance video quality with cutting-edge computer vision techniques and collaborate with creative teams.
- Company: Join a dynamic tech company focused on innovative video solutions.
- Benefits: Enjoy 26 days holiday, competitive salary, and private medical insurance.
- Why this job: Make a real impact in the world of video technology and creativity.
- Qualifications: Strong background in image processing and experience with computer vision algorithms.
- Other info: Be part of an inclusive team that values your ideas and fosters personal growth.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking an experienced Computer Vision Engineer to join our Video Solution Team and help elevate the realism, stability, and visual quality of our chroma key (green screen) and video processing technologies. This role is central to building next-generation image and video enhancements for our video product ecosystem.
Key Responsibilities
- Enhance and optimize Chroma Key (green screen) algorithms to achieve highly realistic compositing under varying studio lighting.
- Develop and improve noise reduction and video stabilization techniques for high-quality real-time video output.
- Build and refine image processing solutions for segmentation, edge refinement, spill suppression, and colour correction.
- Collaborate with video engineers and studio teams to test, benchmark, and validate algorithm performance in real-world environments.
- Prototype and deploy advanced computer vision models optimized for real-time or low-latency video pipelines.
Qualifications & Skills
- Strong foundation in Image Processing, with practical experience in chroma keying, matting, filtering, noise reduction, video stabilization, and segmentation.
- Proficiency in computer vision algorithms related to color space transformations, background subtraction, optical flow, and temporal smoothing.
- Hands-on experience with OpenCV, MediaPipe, and/or deep learning frameworks such as PyTorch or TensorFlow.
- Good understanding of lighting consistency, shadow modeling, and color matching between live studio footage and virtual assets.
- Ability to optimize algorithms for real-time or low-latency video processing.
- Experience with AI-driven vision techniques (e.g., matting, denoising, segmentation).
- Familiarity with GPU acceleration (CUDA, Vulkan, Metal) for high-performance processing.
We Offer
- Experience a dynamic and team-orientated work environment.
- Opportunities for personal growth and learning.
- An open, inclusive and supportive team where you will be valued, and your suggestions will be welcome.
- 26 days paid holiday per year, in addition to local public holidays.
- Competitive salary.
- Risk Benefits such as pension, Life Assurance (4x annual salary), Private Medical Insurance.
- Team Building activities.
- Local discounts and more...
Computer Vision Engineer Corporate · Hammersmith · in London employer: Eeze Entertainment Malta Limited
Contact Detail:
Eeze Entertainment Malta Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Vision Engineer Corporate · Hammersmith · in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to computer vision, especially those involving chroma keying and video processing. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with OpenCV, MediaPipe, and any deep learning frameworks you've used. Practice common interview questions to boost your confidence.
✨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 genuinely interested in joining our team and contributing to our exciting projects.
We think you need these skills to ace Computer Vision Engineer Corporate · Hammersmith · in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with image processing and computer vision. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about video technology and how you can contribute to our Video Solution Team. Keep it engaging and personal – we love getting to know our applicants!
Showcase Your Technical Skills: Be specific about your hands-on experience with tools like OpenCV, PyTorch, or TensorFlow. We’re looking for practical examples of how you’ve applied these in real-world scenarios, so don’t hold back on the details!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the info you need about the role and our team!
How to prepare for a job interview at Eeze Entertainment Malta Limited
✨Know Your Algorithms
Make sure you brush up on your knowledge of computer vision algorithms, especially those related to chroma keying and noise reduction. Be ready to discuss how you've applied these techniques in past projects, as this will show your practical experience.
✨Showcase Your Projects
Prepare to talk about specific projects where you've implemented image processing solutions. Highlight your role in enhancing video quality or stabilisation techniques, and be ready to explain the challenges you faced and how you overcame them.
✨Familiarise with Tools
Get comfortable with tools like OpenCV and deep learning frameworks such as PyTorch or TensorFlow. If you have experience with GPU acceleration, make sure to mention it, as it’s a big plus for real-time processing.
✨Collaborative Mindset
Since collaboration is key in this role, think of examples where you've worked with teams to test and validate algorithms. Emphasise your ability to communicate effectively with both technical and non-technical team members.
