GIOS Technology
Machine Learning Consultant
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Consultant with a contract length of "unknown" and a pay rate of "unknown." It requires extensive experience in Azure-based MLOps, Kubernetes, CI/CD, and Infrastructure as Code, located in London/Horsham, hybrid.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
320
-
🗓️ - Date
August 12, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
London Area, United Kingdom
-
🧠 - Skills detailed
#Azure #ML (Machine Learning) #Monitoring #Kubernetes #DevOps #Infrastructure as Code (IaC) #Observability #Microsoft Azure
Role description
We are hiring for MLOps Engineer – Microsoft Azure
Location: London / Horsham - Hybrid / 3 days Per week in Office
• Experience in Software Engineering, Platform Engineering, DevOps, MLOps, or a related discipline.
• Hands-on experience building and operating production MLOps platforms.
• Hands-on experience designing and implementing Azure-based MLOps architectures.
• Extensive experience with Azure Kubernetes Service (AKS) and production Kubernetes environments.
• Proven experience implementing ML monitoring, observability, model performance monitoring, and model lifecycle management.
• Strong experience designing and implementing CI/CD and Continuous Training pipelines.
• Hands-on experience with Infrastructure as Code (IaC).
Key Skills: Machine Learning / Platform Engineering / Azure Kubernetes Service / IAC / ML Monitoring / observability / ML Monitoring
We are hiring for MLOps Engineer – Microsoft Azure
Location: London / Horsham - Hybrid / 3 days Per week in Office
• Experience in Software Engineering, Platform Engineering, DevOps, MLOps, or a related discipline.
• Hands-on experience building and operating production MLOps platforms.
• Hands-on experience designing and implementing Azure-based MLOps architectures.
• Extensive experience with Azure Kubernetes Service (AKS) and production Kubernetes environments.
• Proven experience implementing ML monitoring, observability, model performance monitoring, and model lifecycle management.
• Strong experience designing and implementing CI/CD and Continuous Training pipelines.
• Hands-on experience with Infrastructure as Code (IaC).
Key Skills: Machine Learning / Platform Engineering / Azure Kubernetes Service / IAC / ML Monitoring / observability / ML Monitoring
