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Lead AI/ML discovery with clients, design end-to-end LLM and ML solutions, implement models and pipelines in Python, deploy and operate production ML in cloud using MLOps tools, collaborate with data engineers, guide responsible AI and support sales and workshops.

Consulting Senior Data Engineer: lead client data discovery, design cloud data platforms and production-grade ETL/ELT pipelines, implement orchestration and IaC, optimize performance/cost, collaborate with AI/data teams, advise on governance, and support sales and client workshops.

Lead early-stage AI and data conversations, translate ambiguous business needs into structured strategies and roadmaps, design operating models and governance, bridge stakeholders and technical teams, support sales and proposals, and stay involved through implementation to ensure business value realization.

Open application for AI and data roles. Work may include shaping AI/data strategy, designing cloud data platforms and pipelines, productionising ML/LLM solutions, bridging business and technical teams, and helping clients adapt processes and roles as AI capabilities grow.