26 to 31 of 31 Computer Vision Jobs in Berkshire

clients. You’ll be applying some of the SOTA research in AI to develop applications. As such we would expect you to have: Effective communication skills Background in foundational Computer Vision/NLP Strong Software Engineering skills (3 years+) Developed LLM architecture and deployed LLM applications Uptodate with current trends in AI Some experience with applying latest techniques More ❯

for Lead Software Engineer: + Have held a leading software engineer role for a number of years + Proficiency with scripting languages like Python + Proficiency in C++ and Computer Vision + Experience developing control mechanisms for automation + Experience with embedded software development (microcontrollers etc.) Desirable skills: + Experience designing low power automated systems + AWS knowledge More ❯

Your Background 8–12 years in Technical Account Management , Customer Engineering , or Solution Delivery for AI, IoT, or enterprise SaaS platforms. Strong understanding of edge AI, ML pipelines, or computer vision systems (e.g., PoS, SCOs, IoT). Experience working with monitoring frameworks (Grafana, Datadog) and analysing technical performance data. Proven track record in building relationships with enterprise clients More ❯

C, C#, Python **Windows/Linux, XILINX **SCRUM, SAFe, AZURE DevOps, CI/CD, GIT **UI, UX, GUI, JavaScript, Angular, React, NodeJS **Python, PyQT, **IIOT, Industrial Internet of things, Computer Vision, PLC, Embedded Devices, Allen Bradley Send me your CV now for an Interview More ❯

About the Company We’re currently representing a fast-growing Construction Technology scale-up transforming the way the construction industry operates. Their AI-driven platform uses site data and computer vision to give project teams complete visibility and control, helping some of the world’s largest contractors and developers deliver projects on time and on budget. What You More ❯

About Buildots Buildots is transforming construction management with AI and computer vision. Our AI-powered SaaS platform automates on-site progress tracking, giving construction teams the tools to plan smarter, improve efficiency, and cut costly delays by up to 50%. The $13 trillion construction industry has seen little disruption in the past 150 years. Until now. Backed by More ❯