1 to 25 of 37 Permanent Video\Live Streaming Jobs in England

with deployed hardware systems and remote device management. Python skills. NVIDIA computing platforms. Microcontroller development. AWS exposure. Automated testing experience. Video streaming/processing, camera sensors, codecs, protocols. Medical device or other safety‐critical software experience. 🧩 Industry Background Open to any sector — what really matters ...

/CD pipelines It would be particularly interesting if you have experience with: Edge or IoT devices GStreamer or video streaming pipelines Infrastructure management tools such as Salt Monitoring platforms such as Grafana This is a hands-on engineering role within a small, highly capable team ...

Have Experience with Qt/QtQuick or other GUI frameworks Exposure to C# or Delphi Understanding of audio mixing, live sound, or streaming technology Interest in hardware/software integration or embedded systems Experience using JIRA or similar tools A genuine passion for audio, music, or live ...

. Good understanding of APIs, CMS platforms, identity stacks (SSO/CRM), analytics, and cloud environments. Exposure to live streaming, VOD workflows, or sports data products is highly desirable. Comfortable working in agile, cross-functional teams with both technical and non-technical stakeholders. Data-driven mindset with ...

recruiting at the following levels - Manager & Consultant) As a team: The Architect is the essence of every project we bring to life from streaming live sport across the world, solving health emergencies to serving customers in new ways with innovative new Digital products. We’re looking ...

clear, interpretable outputs for stakeholders. This is not a heavy Data Engineering or MLOps engagement. There is no requirement for live pipelines, streaming ingestion, or ongoing automated refresh. The successful candidate will work hands-on to profile data, engineer meaningful features, develop detection logic, and communicate findings ...

clear, interpretable outputs for stakeholders. This is not a heavy Data Engineering or MLOps engagement. There is no requirement for live pipelines, streaming ingestion, or ongoing automated refresh. The successful candidate will work hands-on to profile data, engineer meaningful features, develop detection logic, and communicate findings ...

clear, interpretable outputs for stakeholders. This is not a heavy Data Engineering or MLOps engagement. There is no requirement for live pipelines, streaming ingestion, or ongoing automated refresh. The successful candidate will work hands-on to profile data, engineer meaningful features, develop detection logic, and communicate findings ...

clear, interpretable outputs for stakeholders. This is not a heavy Data Engineering or MLOps engagement. There is no requirement for live pipelines, streaming ingestion, or ongoing automated refresh. The successful candidate will work hands-on to profile data, engineer meaningful features, develop detection logic, and communicate findings ...

clear, interpretable outputs for stakeholders. This is not a heavy Data Engineering or MLOps engagement. There is no requirement for live pipelines, streaming ingestion, or ongoing automated refresh. The successful candidate will work hands-on to profile data, engineer meaningful features, develop detection logic, and communicate findings ...

clear, interpretable outputs for stakeholders. This is not a heavy Data Engineering or MLOps engagement. There is no requirement for live pipelines, streaming ingestion, or ongoing automated refresh. The successful candidate will work hands-on to profile data, engineer meaningful features, develop detection logic, and communicate findings ...

clear, interpretable outputs for stakeholders. This is not a heavy Data Engineering or MLOps engagement. There is no requirement for live pipelines, streaming ingestion, or ongoing automated refresh. The successful candidate will work hands-on to profile data, engineer meaningful features, develop detection logic, and communicate findings ...

clear, interpretable outputs for stakeholders. This is not a heavy Data Engineering or MLOps engagement. There is no requirement for live pipelines, streaming ingestion, or ongoing automated refresh. The successful candidate will work hands-on to profile data, engineer meaningful features, develop detection logic, and communicate findings ...

clear, interpretable outputs for stakeholders. This is not a heavy Data Engineering or MLOps engagement. There is no requirement for live pipelines, streaming ingestion, or ongoing automated refresh. The successful candidate will work hands-on to profile data, engineer meaningful features, develop detection logic, and communicate findings ...

clear, interpretable outputs for stakeholders. This is not a heavy Data Engineering or MLOps engagement. There is no requirement for live pipelines, streaming ingestion, or ongoing automated refresh. The successful candidate will work hands-on to profile data, engineer meaningful features, develop detection logic, and communicate findings ...

clear, interpretable outputs for stakeholders. This is not a heavy Data Engineering or MLOps engagement. There is no requirement for live pipelines, streaming ingestion, or ongoing automated refresh. The successful candidate will work hands-on to profile data, engineer meaningful features, develop detection logic, and communicate findings ...

clear, interpretable outputs for stakeholders. This is not a heavy Data Engineering or MLOps engagement. There is no requirement for live pipelines, streaming ingestion, or ongoing automated refresh. The successful candidate will work hands-on to profile data, engineer meaningful features, develop detection logic, and communicate findings ...

clear, interpretable outputs for stakeholders. This is not a heavy Data Engineering or MLOps engagement. There is no requirement for live pipelines, streaming ingestion, or ongoing automated refresh. The successful candidate will work hands-on to profile data, engineer meaningful features, develop detection logic, and communicate findings ...

clear, interpretable outputs for stakeholders. This is not a heavy Data Engineering or MLOps engagement. There is no requirement for live pipelines, streaming ingestion, or ongoing automated refresh. The successful candidate will work hands-on to profile data, engineer meaningful features, develop detection logic, and communicate findings ...

clear, interpretable outputs for stakeholders. This is not a heavy Data Engineering or MLOps engagement. There is no requirement for live pipelines, streaming ingestion, or ongoing automated refresh. The successful candidate will work hands-on to profile data, engineer meaningful features, develop detection logic, and communicate findings ...

clear, interpretable outputs for stakeholders. This is not a heavy Data Engineering or MLOps engagement. There is no requirement for live pipelines, streaming ingestion, or ongoing automated refresh. The successful candidate will work hands-on to profile data, engineer meaningful features, develop detection logic, and communicate findings ...

clear, interpretable outputs for stakeholders. This is not a heavy Data Engineering or MLOps engagement. There is no requirement for live pipelines, streaming ingestion, or ongoing automated refresh. The successful candidate will work hands-on to profile data, engineer meaningful features, develop detection logic, and communicate findings ...

editing in Premiere Pro, Final Cut or similar. Leadership experience within AV or events teams. Knowledge of PA systems, lighting, vision mixing and streaming tech. Highly organised and able to manage multiple projects. Calm under pressure with good problem-solving skills. Full UK driving licence and flexible travel ...

Firmware. Embedded C, C++, C#, Embedded Linux, ARM , UNIX, RTOS, 3G, Application and Driver Development (inc Mobile), DSP, Algorithms, Audio, Video, Streaming, Symbian, ADA, STB, DVB, DTV, IPTV, DAB, MPEG, MHEG, etc. RF Engineers, Covering all aspects of RF System, Chip, Board Level, Wireless and Baseband ...

transforming virtual intimacy into the new normal. Our portfolio includes online communication platforms focusing on AI, game mechanics, and video streaming - Dating.com, DateMyAge, Cupid Media, Dil Mil, Kiseki, and others. SDG invests in IT startups around the world. Our investments include Open AI, Patreon, Flo, Clubhouse ...