leading edge projects. Key Responsibilities Design and implement advanced computer vision algorithms using multi-sensor inputs. Develop and deploy AI models on edge and embedded platforms (e.g., Nvidia Jetson, RaspberryPi). Build and maintain robust machine learning pipelines for deployment in air-gapped or offline environments. Work closely with engineers, researchers and domain experts to integrate perception More ❯
distribution and electrical safety. Hands-on experience with AV and computing hardware in live environments. Team player with strong communication skills and a problem-solving mindset. Desirable: Experience with RaspberryPi/Arduino or microcontroller-based systems. Familiarity with Linux, bash scripting, and networking tools. Photography, lighting, and camera knowledge. Ability to solder and repair small electronics. Experience More ❯
from space to the sea floor + Developing software tools used for the design and manufacture process Skills and Experience Required: + Involved experience with embedded systems (Arduino, ARM, RaspberryPi etc.) + Proof of interest in wider engineering + Proficient in Microsoft Office + Electronic engineering experience Bonus: + Have undertook projects in own time related to More ❯
from space to the sea floor + Developing software tools used for the design and manufacture process Skills and Experience Required: + Involved experience with embedded systems (Arduino, ARM, RaspberryPi etc.) + Proof of interest in wider engineering + Proficient in Microsoft Office + Electronic engineering experience Bonus: + Have undertook projects in own time related to More ❯
experience working in a design role + Experience of OOP, embedded C/C++, and STM-32 microcontrollers + Electronic design experience Bonus: + Use of embedded systems; Arduino, RaspberryPi, JTAG etc. + Experience with BS EN 62304 or other medical device/SaMD regulations What you ll get: + £40-45k + Regular company socials More ❯
experience working in a design role + Experience of OOP, embedded C/C++, and STM-32 microcontrollers + Electronic design experience Bonus: + Use of embedded systems; Arduino, RaspberryPi, JTAG etc. + Experience with BS EN 62304 or other medical device/SaMD regulations What you’ll get: + £40-45k + Regular company socials More ❯
for real-time situational awareness. Collaborate with a fast-growing team of engineers, researchers, and domain experts. Work on edge and embedded deployments using platforms like Nvidia Jetson and Raspberry Pi. Play a key role in shaping technical direction and future product capabilities. You’ll Need: 5+ years of experience in AI/computer vision Strong background in detection More ❯
Experience with network peripherals such as: 4G/5G modems WiFi modules LoRaWAN interfaces Legacy System Support (Consultant-level skills welcomed): System-on-Module (SOM) experience with platforms like RaspberryPi or WinCE. Application development in C#/.NET for device tools, remote updates, diagnostics, and encrypted communication. Visual Studio or LabWindows CVI for application-level tools. What More ❯
