Hybrid ML Ops Engineer — Enterprise AI (Contract)

Deloitte (UK); Birmingham; Hybrid; GBP 92.000 - 148.000; Vollzeit

Zusammenfassung

Deloitte is seeking a Machine Learning Operations Engineer (contract) to design, build and deploy enterprise AI and Copilot solutions across financial services clients. You will work across ML pipelines, RAG, agent orchestration and cloud platforms to deliver production-grade capabilities with strong SDLC, security and observability.

Hybrid work across Deloitte offices, travel to client sites three days a week, duration two months with ASAP November 2026 start.

Qualifikationen

• 4+ years building Copilot or AI agents in a Financial Services background.
• 4+ years deploying ML models in production.
• Experience with AWS cloud platforms and ML Ops practices.
• Knowledge of vector search, RAG and AI governance.
• Strong Python development and data engineering integration skills.

Aufgaben

• Design, build and own production-grade Copilot agents for enterprise use.
• Deliver ML and retrieval capabilities turning data into explainable recommendations.
• Establish governance, evaluation and controls for trusted AI at scale.

Kenntnisse

Python

ML Ops

RAG

Agent orchestration

Cloud platforms

Security

Observability

Stakeholder mgmt

Tools

AWS

Databricks

Kubernetes

Snowflake

Jobbeschreibung

Deloitte is seeking a Machine Learning Operations Engineer (contract) to design, build and deploy enterprise AI and Copilot solutions across financial services clients. You will work across ML pipelines, RAG, agent orchestration and cloud platforms to deliver production-grade capabilities with strong SDLC, security and observability.

Hybrid work across Deloitte offices, travel to client sites three days a week, duration two months with ASAP November 2026 start.