Computer Vision Engineer

• Support the design, testing, and validation of optical hardware, including imaging sensors, optical assemblies, and related components.
• Contribute to the creation of solutions for visual monitoring, tracking, and image analysis.
• Adapt and refine image processing workflows to enhance system efficiency and output quality.
• Work closely with cross-functional teams comprising engineering, technical, and product specialists.
• Design tailored algorithms informed by the latest advancements in computer vision.
• Build robust machine vision systems designed to meet stringent performance and reliability standards.
• Plan and manage tasks effectively to ensure the timely delivery of reliable, well-documented outputs.
• Take part in the development and testing of prototypes through to final product launch.

What this offers:

• An opportunity to join a success story in the making with a team who have realised big success in other start-ups
• Working on a cutting-edge stack in a highly innovative environment
• Working on technology that has the potential to save thousands of lives

• You will be educated to Ph.D. level with a focus on Computer Vision, OR have working experience as a Computer Vision Engineer
• Good academic history
• Skilled in building computer vision solutions, with a focus on object detection and motion tracking.
• Knowledgeable in modern machine learning techniques, including convolutional neural networks (CNNs) and transformer models.
• Experience with tracking methods, including the use of Kalman filters.
• Aware of traditional, lower-resource image processing techniques such as blob detection.
• Proficient in Python for developing and implementing solutions.
• Any experience in the following is beneficial: video analysis, optics or working within an agile environment
• Due to the nature of some clients, you must be able to qualify for Security Clearance (this usually means you have been a UK resident for at least 5 years, have a clean criminal record etc)