Artificial intelligence engineer with investment banking industry exp

Slough
Stanley David and Associates
Investment banker
Posted: 18 June
The role
  • 3+ years of experience in ML/AI engineering with demonstrable experience delivering production features.
  • Understanding of the ML/AI lifecycle, including experimentation, evaluation, and release management.
  • Experience with experiment tracking and model/version management concepts (tools such as MLflow are a plus).
  • Hands-on experience with MLOps tooling (e.g., MLflow).
  • Exposure to AI/agent frameworks (e.g., LangChain, LangSmith, CrewAI, Azure AI Agent Service, AWS Strands or similar).
  • Experience with GenAI application development, including prompt iteration and agent/tool patterns.
  • Familiarity with cloud platforms (AWS/Azure) and/or data platforms (e.g., Databricks).


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