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Lead GenAI System Architect at Deloitte's AI Institute in London, designing and delivering enterprise generative-AI/ML solutions for clients — LLMs, RAG, fine-tuning, and MLOps — while advising senior stakeholders and mentoring AI teams. Core stack: Python, PyTorch/TensorFlow, LangChain/LangGraph, and AWS/Azure/GCP.
Senior Manager in Deloitte's AI & Data practice who defines the technical vision and leads end-to-end delivery of enterprise-scale Databricks data, ML and Generative/Agentic AI transformation programmes for clients — architecting lakehouse, MLOps and LLMOps solutions while governing multi-disciplinary delivery teams. London-based, hybrid working.
Senior Manager-level Databricks Architect at Deloitte's AI & Data practice (London, hybrid): defines enterprise architecture for large-scale Databricks Data & AI transformation programmes for clients — lakehouse design, governance, MLOps/LLMOps and Generative/Agentic AI — while providing design authority, client advisory, and sales support. Core tech: Databricks (Delta Lake, Unity Catalog, Spark,
Deloitte (posted under HMRC's name on an aggregator feed) is hiring a Databricks Data & AI Engineer in London to design, build and optimise scalable batch/streaming data pipelines and AI-ready data products on the Databricks platform, using Delta Lake, PySpark/Scala, Unity Catalog and MLflow for enterprise clients.
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