MLOps Engineer

MLOps Engineer Location: Remote (Occasional travel to their London office) Contract: Inside IR35 Day rate: Up to £800 per day Duration: 6 months Start date: ASAP Key words: Machine Learning, Python, containerization (Docker), CI/CD, Azure As part of our Client's AI Engineering team, you will own the infrastructure and delivery pipelines that keep our AI-driven products reliable, scalable, and fast. You will design and maintain the cloud environments, CI/CD workflows, and observability systems that enable our engineers to ship with confidence. Key Skills: - Solid programming skills in Python (plus experience with web libraries like FastAPI, Flask, or Django) - Hands-on experience with ML model deployment and monitoring in production Knowledge of containerization (Docker) - Experience with CI/CD pipelines and cloud environments (we use Azure) Assignment Objectives - Implement or improve model monitoring and operational controls for AI/ML systems. - Build and maintain robust ML pipelines for training, deployment, and monitoring - Develop backend systems and APIs that integrate AI into our SaaS platform - Take ownership of the ML performance, monitoring, availability, and security - Define drift, unexpected-output and AI incident playbooks with clear ownership and evidence. - Align MLOps processes with data governance, AppSec, logging, monitoring and enterprise GRC expectations. - Support AI-specific control closure across NIST-style controls, SOC 2, ISO 27001 and enterprise GRC contexts. - Create repeatable evidence for monitoring, alerting, response, review and BAU handover. - Ensure MLOps controls are sustainable after the remediation programme closes