6 of 6 Remote/Hybrid FFmpeg Jobs in the UK

more of the following: Go, Java, Rust, C, C++, or PythonHands-on experience with media frameworks and libraries such as GStreamer, FFmpeg, MediaMTX, or similar technologiesExperience with GPU-accelerated encoding or hardware media pipelinesFamiliarity with Kubernetes, ECS, Nomad, or other orchestration platformsExperience with observability stacks such as Prometheus, Grafana, OpenTelemetry ...

proactive mindset and eagerness to learn from a world-class engineering team Bonus Points For Knowledge of cloud architecture, preferably AWS Experience with FFmpeg, audio/video processing, or multimedia applications Working on a range of challenges, from hardware interfacing and network protocols to audio/video processing ...

proactive mindset and eagerness to learn from a world-class engineering team Bonus Points For Knowledge of cloud architecture, preferably AWS Experience with FFmpeg, audio/video processing, or multimedia applications Working on a range of challenges, from hardware interfacing and network protocols to audio/video processing ...

Senior MLOps EngineerSalary: 70,000 to 100,000, depending on experienceLocation: West LondonWorking arrangement: Predominantly office and customer-site based, with some remote working availableEmployment: Permanent, full-timeMFK Recruitment is recruiting a Senior MLOps Engineer ...

pipelines for video processing (ingest, frame extraction, transcoding, and A/V sync). Integrate proprietary codec SDKs into AI and media frameworks (e.g., FFmpeg, GStreamer, NVIDIA NeMo). Connect video processing stages to computer-vision and multimodal AI models (for tasks like classification, embeddings, and structured output generation). … hood (codecs, containers, timestamps, keyframes). Pipeline Integration: Confidence working across complex APIs, third-party libraries, and scalable data pipelines. Desirables: Direct experience with FFmpeg or GStreamer. Familiarity with GPU-accelerated video/AI tech (CUDA, PyTorch, TensorRT, DeepStream). Experience with multimodal AI (VLMs, LLM APIs, Retrieval-Augmented Generation ...

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