MLOps Engineer: AI Pipelines & RAG Specialist (Hybrid)

Deloitte - Recruitment; Greater London; Hybrid; GBP 70,000 - 77,000; Full time

Job summary

Deloitte is seeking an experienced MLOps Engineer for a contract role in London, hybrid 3/4 days in client office. You will design, develop and deploy production-ready AI agents and scalable ML pipelines in a regulated financial services environment.

The role covers Generative AI, retrieval systems, and enterprise integrations across AWS/Azure, with emphasis on security, governance, and observable ML systems.

Qualifications

• Strong hands-on experience in MLOps or production AI development.
• Proficiency in Python and deploying production ML models.
• Experience building end-to-end ML pipelines incl. training, deployment, monitoring.
• Experience with Generative AI, LLMs, RAG and AI agent architectures.
• Experience with Databricks and large-scale data processing.
• Knowledge of vector databases, embeddings and evaluation.
• Experience with AWS and/or Azure cloud environments.
• CI/CD, automated testing, containerisation and production deployment.
• Model performance monitoring, observability and security.

Responsibilities

• Design, develop and deploy production-ready AI agents and copilot solutions.
• Build RAG solutions using knowledge graphs and vector search.
• Develop agent memory and context management for personalised AI interactions.
• Design scalable ML pipelines using Databricks for training and inference.
• Develop production-grade ML models for propensity scoring and churn prediction.
• Implement batch and real-time inference with performance optimization.
• Maintain AI evaluation frameworks with automated testing and monitoring.
• Collaborate with engineering and business stakeholders to deliver scalable AI.
• Deploy and manage AI/ML apps on AWS and/or Azure.
• Ensure compliance with security and regulatory requirements.

Skills

MLOps

Python

ML pipelines

Databricks

AWS

Azure

CI/CD

Containerization

LLMs

RAG

A2A

MCP

Security

Agile

Tools

Snowflake

Kubernetes

Splunk

Confluence

Bitbucket

Job description

Deloitte is seeking an experienced MLOps Engineer for a contract role in London, hybrid 3/4 days in client office. You will design, develop and deploy production-ready AI agents and scalable ML pipelines in a regulated financial services environment.

The role covers Generative AI, retrieval systems, and enterprise integrations across AWS/Azure, with emphasis on security, governance, and observable ML systems.