Cititec Talent
Artificial Intelligence Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior AI Engineer in London, hybrid work, outside IR35, with a contract length of 6+ months. Key skills include AI, Azure, Oracle, data migration, and ETL. Experience in financial markets is preferred.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
May 13, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Azure #Base #Migration #Azure Data Factory #ADF (Azure Data Factory) #Oracle #Data Migration #AI (Artificial Intelligence) #"ETL (Extract #Transform #Load)" #Azure Cosmos DB
Role description
AI Engineer | Hybrid | London | Outside IR35 | 6+ Months
Cititec are working with a global financial markets organisation on a large scale data and platform transformation.
They are looking for a Senior AI Engineer to help accelerate the migration of a complex data estate from Oracle to a Microsoft centric architecture across Azure, Cosmos DB, Microsoft Fabric and Azure Data Factory.
The role will focus on applying AI and GenAI to improve developer productivity and engineering throughput, particularly across data migration, code generation and developer tooling. This includes deploying AI agents and AI assisted development tools within the Azure ecosystem.
This is a high impact role operating across a large engineering environment, helping scale modern engineering practices and AI enabled development across a significant developer base.
AI Engineer | Hybrid | London | Outside IR35 | 6+ Months
Cititec are working with a global financial markets organisation on a large scale data and platform transformation.
They are looking for a Senior AI Engineer to help accelerate the migration of a complex data estate from Oracle to a Microsoft centric architecture across Azure, Cosmos DB, Microsoft Fabric and Azure Data Factory.
The role will focus on applying AI and GenAI to improve developer productivity and engineering throughput, particularly across data migration, code generation and developer tooling. This includes deploying AI agents and AI assisted development tools within the Azure ecosystem.
This is a high impact role operating across a large engineering environment, helping scale modern engineering practices and AI enabled development across a significant developer base.
