iXceed Solutions
Senior AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior AI Engineer in Edinburgh, UK (Hybrid) on an Inside IR35 contract. Key skills include strong Python, Generative AI, LangChain, GCP, Docker, and Kubernetes. Experience in financial services is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
August 20, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
Edinburgh, Scotland, United Kingdom
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🧠 - Skills detailed
#REST API #REST (Representational State Transfer) #Databases #Kubernetes #BigQuery #Langchain #Deployment #FastAPI #Cloud #Python #AI (Artificial Intelligence) #GCP (Google Cloud Platform) #Docker
Role description
Job Title: Senior AI Engineer
Location: Edinburgh, UK (Hybrid)
Employment Type: Inside Ir35 Contact
We are looking for a Senior AI Engineer to design, develop and deploy production-ready AI solutions within a financial services environment.
Key Requirements
• Strong Python development experience
• Hands-on experience with Generative AI, LLMs and Agentic AI
• Experience with LangChain, LangGraph or similar frameworks
• Strong knowledge of RAG, embeddings, vector databases and semantic search
• Experience with GCP, Vertex AI, Gemini and BigQuery
• Hands-on experience with Docker and Kubernetes/GKE
• Experience building REST APIs / FastAPI and cloud-native applications
• Understanding of LLM evaluation, guardrails, CI/CD and production deployment
Job Title: Senior AI Engineer
Location: Edinburgh, UK (Hybrid)
Employment Type: Inside Ir35 Contact
We are looking for a Senior AI Engineer to design, develop and deploy production-ready AI solutions within a financial services environment.
Key Requirements
• Strong Python development experience
• Hands-on experience with Generative AI, LLMs and Agentic AI
• Experience with LangChain, LangGraph or similar frameworks
• Strong knowledge of RAG, embeddings, vector databases and semantic search
• Experience with GCP, Vertex AI, Gemini and BigQuery
• Hands-on experience with Docker and Kubernetes/GKE
• Experience building REST APIs / FastAPI and cloud-native applications
• Understanding of LLM evaluation, guardrails, CI/CD and production deployment
