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