Devonshire Hayes Recruitment
Azure AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an "Azure AI Engineer" with a contract length of "unknown," offering a pay rate of "unknown." It requires "current SC Clearance," hybrid work location, and expertise in "Microsoft Azure AI Foundry, AI solutions, and compliance frameworks."
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
848
-
🗓️ - Date
October 28, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Inside IR35
-
🔒 - Security
Yes
-
📍 - Location detailed
London Area, United Kingdom
-
🧠 - Skills detailed
#Azure #Automation #Observability #Microsoft Azure #AI (Artificial Intelligence) #ML (Machine Learning) #NLP (Natural Language Processing) #Compliance #Data Science
Role description
If you are an SC Cleared Azure Engineer with a focus on Azure AI, we have a new contract we would like to discuss with you.
Please note this role is inside IR35, requires onsite attendance once a week and can only consider candidates with current/live SC Clearance.
Job Spec:
• Proven extensive experience developing AI solutions on Microsoft Azure AI Foundry and Microsoft Azure ML Studio. (LEAD)
• Understanding of data science concepts, AI/ML models, automation workflows, and agentic orchestration to enhance business processes. (LEAD)
• Experience designing and deploying Agentic AI solutions leveraging orchestration, pipelines, and observability on Microsoft Azure AI Foundry. (LEAD)
• Experience applying Generative AI, NLP, and prompting techniques.
• Strong understanding of AI governance, observability, and compliance frameworks.
• Excellent communication and presentation skills.
If you are an SC Cleared Azure Engineer with a focus on Azure AI, we have a new contract we would like to discuss with you.
Please note this role is inside IR35, requires onsite attendance once a week and can only consider candidates with current/live SC Clearance.
Job Spec:
• Proven extensive experience developing AI solutions on Microsoft Azure AI Foundry and Microsoft Azure ML Studio. (LEAD)
• Understanding of data science concepts, AI/ML models, automation workflows, and agentic orchestration to enhance business processes. (LEAD)
• Experience designing and deploying Agentic AI solutions leveraging orchestration, pipelines, and observability on Microsoft Azure AI Foundry. (LEAD)
• Experience applying Generative AI, NLP, and prompting techniques.
• Strong understanding of AI governance, observability, and compliance frameworks.
• Excellent communication and presentation skills.
