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.

• Strong experience with Azure cloud services (compute, networking, storage, identity)
• Proficiency with Infrastructure as Code (Terraform)
• Solid experience building and maintaining CI/CD pipelines (Git Hub 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 (Prometheus, Grafana, Elastic stack)

• 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, App Sec, 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.