Azure Engineer - AI, Machine learning project

Contract Azure Engineer - Machine Learning & AI Location: London (Hybrid/Remote) Contract Length: Initial 6 months (extensions likely) Start Date: ASAP

Overview

We are seeking a Contract Azure Engineer with strong exposure to Machine Learning and AI to support the delivery of modern, cloud-native platforms. You will work in a highly technical environment alongside data scientists, ML engineers, and software teams to design, build, and operate Azure infrastructure that supports AI-driven solutions in production.

This is a hands-on engineering role suited to someone comfortable working across cloud platforms, ML services, and automation.

Responsibilities

• Design, build, and maintain Azure infrastructure supporting Machine Learning and AI workloads
• Support the deployment, scaling, and monitoring of ML models in production
• Work closely with data science and AI teams to productionise models
• Implement Infrastructure as Code using Terraform, Bicep, or ARM
• Build and maintain CI/CD pipelines for ML and AI platforms
• Ensure security, reliability, observability, and cost optimisation across Azure environments
• Troubleshoot and optimise performance of AI/ML workloads

Required Skills & Experience

• Strong experience as an Azure Engineer/Cloud Engineer
• Hands-on exposure to Machine Learning and AI platforms
• Experience with Azure Machine Learning
• Solid understanding of ML life cycle (training, deployment, monitoring)
• Azure services such as AKS, Azure ML, Storage Accounts, Data Factory, Synapse
• Infrastructure as Code (Terraform, Bicep, or ARM)
• CI/CD using Azure DevOps or GitHub Actions
• Strong Scripting skills (Python preferred) Containerisation (Docker, Kubernetes)
• Experience supporting AI-driven or data-intensive platforms
• Containerisation (Docker, Kubernetes)
• Experience supporting AI-driven or data-intensive platforms

Experience

• MLOps experience
• Background in enterprise or regulated environments

Why Apply?

• Work on cutting-edge AI and Machine Learning platforms
• Long-term contract potential
• Flexible working arrangements
• Technically strong, delivery-focused team

GCS is acting as an Employment Business in relation to this vacancy.

• Strong experience as an Azure Engineer/Cloud Engineer
• Hands-on exposure to Machine Learning and AI platforms
• Experience with Azure Machine Learning
• Solid understanding of ML life cycle (training, deployment, monitoring)
• Azure services such as AKS, Azure ML, Storage Accounts, Data Factory, Synapse
• Infrastructure as Code (Terraform, Bicep, or ARM)
• CI/CD using Azure DevOps or GitHub Actions
• Strong Scripting skills (Python preferred) Containerisation (Docker, Kubernetes)
• Experience supporting AI-driven or data-intensive platforms
• Containerisation (Docker, Kubernetes)
• Experience supporting AI-driven or data-intensive platforms

Experience

• MLOps experience
• Background in enterprise or regulated environments

Why Apply?

• Work on cutting-edge AI and Machine Learning platforms
• Long-term contract potential
• Flexible working arrangements
• Technically strong, delivery-focused team