

Gazelle Global
Artificial Intelligence Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer on a 6–12 month contract, offering a pay rate of "£X per hour". It requires strong Python skills, experience with production-grade ML applications, and familiarity with Azure or GCP in a hybrid UK location.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
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🗓️ - Date
March 6, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Fixed Term
-
🔒 - Security
Unknown
-
📍 - Location detailed
London Area, United Kingdom
-
🧠 - Skills detailed
#Python #Scala #AI (Artificial Intelligence) #GCP (Google Cloud Platform) #Monitoring #Data Pipeline #ML (Machine Learning) #Azure
Role description
Data & AI Engineer / ML & AI Engineer
We’re supporting a leading banking organisation as they expand their Data and AI capability, and we’re hiring for two contract roles: Data & AI Engineer and ML / AI Engineer.
You’ll be working on production-grade AI systems, helping design, build and deploy modern ML and LLM-powered solutions within a large-scale enterprise environment.
Contract details
• Initial 6–12 month contract with strong extension potential
• UK-based / hybrid working
• Working alongside experienced engineers shaping the future AI stack within the organisation
Key responsibilities
• Build and deploy AI and ML solutions in production environments
• Develop and optimise data pipelines and AI workflows
• Design and implement RAG pipelines and LLM-based applications
• Work with agentic AI frameworks and multi-agent architectures
• Collaborate with platform and data teams across Azure or GCP ecosystems
• Ensure models and systems are scalable, monitored and production-ready
Required experience
• Strong Python engineering background
• Experience building production-grade ML or LLM applications
• Hands-on with RAG pipelines, prompt engineering and LLM workflows
• Experience with agentic AI frameworks such as LangGraph, CrewAI or similar
• Understanding of MLOps / LLMOps, including monitoring and evaluation
• Experience working with Azure or GCP
Nice to have
• Understanding of Responsible AI practices, including AI risk, ethics and guardrails
• Experience contributing to AI architecture and platform decisions
This is a strong opportunity to work on genuinely impactful AI programmes, shaping how advanced AI capabilities are built and deployed within a major financial services environment.
Data & AI Engineer / ML & AI Engineer
We’re supporting a leading banking organisation as they expand their Data and AI capability, and we’re hiring for two contract roles: Data & AI Engineer and ML / AI Engineer.
You’ll be working on production-grade AI systems, helping design, build and deploy modern ML and LLM-powered solutions within a large-scale enterprise environment.
Contract details
• Initial 6–12 month contract with strong extension potential
• UK-based / hybrid working
• Working alongside experienced engineers shaping the future AI stack within the organisation
Key responsibilities
• Build and deploy AI and ML solutions in production environments
• Develop and optimise data pipelines and AI workflows
• Design and implement RAG pipelines and LLM-based applications
• Work with agentic AI frameworks and multi-agent architectures
• Collaborate with platform and data teams across Azure or GCP ecosystems
• Ensure models and systems are scalable, monitored and production-ready
Required experience
• Strong Python engineering background
• Experience building production-grade ML or LLM applications
• Hands-on with RAG pipelines, prompt engineering and LLM workflows
• Experience with agentic AI frameworks such as LangGraph, CrewAI or similar
• Understanding of MLOps / LLMOps, including monitoring and evaluation
• Experience working with Azure or GCP
Nice to have
• Understanding of Responsible AI practices, including AI risk, ethics and guardrails
• Experience contributing to AI architecture and platform decisions
This is a strong opportunity to work on genuinely impactful AI programmes, shaping how advanced AI capabilities are built and deployed within a major financial services environment.






