Computer Vision Engineer
London
Hybrid
Our client is an innovative leader in the design and development of immersive, tech-driven experiences. By seamlessly integrating creativity and cutting-edge technology, they deliver extraordinary, guest-centric attractions that redefine what’s possible. With a collaborative team of experts in design, technology, and engineering, our client is dedicated to creating unforgettable experiences that push the boundaries of innovation.
We are seeking a Computer Vision & Machine Learning Engineer to join our client's pioneering team. In this role, you’ll develop and deploy advanced vision and image processing solutions on edge devices such as Raspberry Pi and NVIDIA Jetson. You’ll work at the intersection of creativity and technology, collaborating with cross-functional teams to design groundbreaking solutions that transform the landscape of immersive entertainment.
Responsibilities:
Develop, optimize, and implement machine vision algorithms for edge computing platforms.
Create real-time image processing workflows using tools like OpenCV.
Deploy machine learning models for tasks such as human-machine interaction and pattern recognition.
Design and integrate systems on Linux-based platforms, ensuring seamless operation on devices like Raspberry Pi.
Collaborate with hardware engineers to align system requirements and integrate components effectively.
Test, debug, and refine algorithms to meet performance targets.
Maintain detailed documentation of designs, algorithms, and testing procedures.
Essential Skills & Experience:
Proficiency in Python, C++, or C for computer vision application development.
Strong expertise with image processing libraries such as OpenCV and CUDA.
Experience deploying machine learning models on edge devices.
Familiarity with embedded systems and microcontroller platforms.
Working knowledge of Linux environments and command-line tools.
Analytical skills for interpreting complex datasets and refining algorithms.
Experience with hardware-software integration in embedded systems.
Strong communication and teamwork skills.
Proven ability to manage multiple projects in fast-paced environments.
Preferred Qualifications:
Bachelor’s or Master’s degree in Computer Science, Electronics Engineering, or related fields.
Hands-on experience with platforms like NVIDIA Jetson or Raspberry Pi.
Proficiency in deep learning frameworks such as TensorFlow or PyTorch.
Interest in optimizing CPU and GPU performance.
Experience working with depth cameras, stereo cameras, and point cloud data.
Knowledge of security and optimization techniques for edge devices.
Familiarity with game or rendering engines.
Background in themed entertainment, immersive experiences, or hospitality.