Senior Platform Engineer

Senior Platform 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: Azure, Terraform, containerization, CI/CD 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: - Strong experience with Azure cloud services (compute, networking, storage, identity) - Proficiency with Infrastructure as Code (Terraform) - Solid experience building and maintaining CI/CD pipelines (GitHub Actions) - Hands-on experience with container orchestration (Kubernetes, Docker) - Proficiency in scripting and automation (Python, Bash, or similar) - Understanding of networking fundamentals, security best practices, and secrets management - Experience with monitoring and observability tools (e.g. Prometheus, Grafana, Elastic stack) 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