Senior AI Engineer at well-funded safety tech startup

Senior AI Engineer Company Description

Well-funded safety tech AI startup

You will own the end-to-end lifecycle of AI models, from dataset strategy and fine‑tuning to hardware deployment. By building robust, low‑latency inference pipelines, you will transform real‑world data streams into actionable insights for threat detection. This role bridges the gap between sophisticated machine learning research and high‑performance edge computing.

London, UK

• Lead the development of safety‑critical AI models that have a tangible impact on real‑world security and aggression detection.
• Join a well‑funded startup backed by top‑tier investors during a high‑growth phase where you can influence the core technical architecture.
• Work at the cutting edge of MLOps, deploying sophisticated models to both cloud and specialized hardware at the edge.

• Design, train, and fine‑tune text, audio, and vision models using frameworks like PyTorch, Hugging Face, and Speech Brain.
• Optimize models for real‑time performance through quantization, pruning, and engines like Tensor
  
  RT or ONNX.
• Build and maintain reproducible MLOps pipelines including data collection, labeling, and automated CI/CD for model versioning.

• Proven expertise in Python and PyTorch with hands‑on experience in audio/video AI stacks like YOLO or Media Pipe.
• Deep understanding of production MLOps, including experiment tracking, model registries, and containerized deployment via GCP.
• Skilled in optimizing low‑latency inference for streaming systems and handling multi‑objective metric trade‑offs in safety apps.