Job Description

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.