AI Developer - Azure

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Developer - Azure, offering a hybrid contract in Cambridge. Key requirements include experience with Large Language Models, Microsoft Azure, and cloud-native service development. Pay rate and contract length are unspecified.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
571.4285714286
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πŸ—“οΈ - Date discovered
September 25, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Cambridge, England, United Kingdom
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🧠 - Skills detailed
#Security #Automated Testing #Deployment #TensorFlow #PyTorch #Data Pipeline #R #Deep Learning #GitHub #Azure #.Net #Code Reviews #Agile #Scala #API (Application Programming Interface) #AI (Artificial Intelligence) #Model Deployment #Microsoft Azure #Regression #ML (Machine Learning) #Clustering #Data Privacy #Cloud #Classification #Python
Role description
Senior Engineer, Dev/Principal Engineer Dev - AI Core Services Development – Cambridge Hybrid We are looking for an expert AI Developer to build innovative, standards-compliant, secure and production-grade AI capabilities for a Core AI Services team in Cambridge. You’ll help design, develop, and scale AI-enabling platform services and public APIs that are secure, reliable, and cloud-native. Key Responsibilities: β€’ Build scalable, fault-tolerant cloud-native services on Microsoft Azure β€’ Develop secure, well-documented public APIs and SDKs β€’ Deliver end-to-end solutions across data pipelines, orchestration, and service APIs. β€’ Embed robust security controls and ensure secure access to AI services. β€’ Design reviews, code reviews, and architectural discussions to ensure engineering excellence. β€’ Create AI solutions, including AI model deployment, training, and AI tooling development. AI & Cloud Expertise β€’ Experience working with Large Language Models (LLMs) β€’ Retrieval-Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling. β€’ AI standards like Model Context Protocol (MCP) and Agent2Agent (A2A). β€’ ML algorithms (regression, classification, clustering, deep learning) β€’ Knowledge of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act) β€’ Fluent in developing code using AI Tools such as GitHub Copilot β€’ Prompt engineering to carry out multiple development tasks. β€’ AI orchestration, (AI Foundry and/or Semantic Kernel) β€’ Automated testing and evaluation of AI outputs is a plus β€’ Python and AI frameworks / tools such as PyTorch and TensorFlow. Core Skills and Qualifications: β€’ Platform or cloud-native service development using Microsoft and .NET technologies. β€’ Microsoft Azure and PaaS services (e.g. Azure Functions, AKS, API Management). β€’ RESTful API design, versioning, testing, and lifecycle management. β€’ Securing APIs, managing authentication/authorization and data privacy practices. β€’ Agile teams and collaborating across global R&D locations β€’ Ability to mentor junior team members β€’ Experience with AI frameworks, tools and Python