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AI Integration Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: microTECH Global Limited
Full Time position
Listed on 2026-08-29
Job specializations:
  • Software Development
    Python, AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Backend Developer
Salary/Wage Range or Industry Benchmark: 65000 - 110000 GBP Yearly GBP 65000.00 110000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Job Title:

AI Integration Engineer

Location:

London, UK (Hybrid)

We are looking for a Python-focused Software Engineer to sit at the intersection of video engineering and artificial intelligence.

Working with a pioneer in advanced video compression, you will build and integrate multimodal workflows that connect cutting-edge video technologies to modern AI ecosystems.

This client would be requiring candidates to do three days on-site per week and two days working remotely.

Core Responsibilities:
  • Develop production-quality Python 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).
  • Prototype and optimize codec-aware inference workflows to improve accuracy, latency, and cost.
Requirements:
  • Strong Python:
    Proven commercial experience writing clean, scalable, and maintainable Python code.
  • Video Fundamentals: A solid understanding of how video streams work under the 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, Deep Stream).
  • Experience with multimodal AI (VLMs, LLM APIs, Retrieval-Augmented Generation).
  • Cloud and containerization skills (AWS, Docker).

If this looks of interest, please reach out to  for more information

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