Azure Engineer - AI, Machine learning project
Posted Today by GCS
Negotiable
Undetermined
Hybrid
City of London, UK
Summary: We are looking for a Contract Azure Engineer with expertise in Machine Learning and AI to develop and maintain cloud-native platforms. The role involves collaborating with data scientists and software teams to create Azure infrastructure that supports AI solutions. This hands-on position requires proficiency in cloud platforms, ML services, and automation. The contract is initially for 6 months with potential extensions.
Key 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
Key Skills:
- 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
Salary (Rate): undetermined
City: City of London
Country: UK
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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.