South East London, England, United Kingdom Hybrid / WFH Options
Everfox
multiple programming languages (e.g. C, C++, Python). Demonstrable knowledge of core computer science concepts such as concurrency, networking, performance measurement and algorithms. Experience working with development boards (e.g. RaspberryPi, Arduino) and/or embedded systems (IoT devices). Experience with the Linux OS, and ideally kernel or bootloaders. Eligibility for UK government security clearance. Ideally you More ❯
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 ❯
the manufacturing world. About you A multi-disciplinary solutions/embedded systems engineer (you likely don’t fit into any one box), with a strong grasp of both hardware (RaspberryPi/Nvidia Jetson/Camera Optics are bonuses) and software (Linux, Gstreamer, Mender, Over-the-air updates) You’ve done this before. We’re looking for someone More ❯
implement cutting-edge computer vision and sensor fusion algorithms across modalities (e.g., visual, thermal, radar, LiDAR). Develop AI models suitable for edge and embedded platforms (e.g., Nvidia Jetson, RaspberryPi). Collaborate with engineers, researchers, and domain experts to integrate perception modules into operational systems. Build and maintain robust ML pipelines suitable for constrained or offline environments. 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 ❯
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 ❯
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 ❯