

Data Scientist - AI/ML Engineer Contract - Outside IR35
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist - AI/ML Engineer for a 6-month contract in Cambridge, offering £350 per day. Key skills include 10+ years in software engineering, expertise in Microsoft Azure, RESTful API design, and AI/ML experience, particularly with LLMs.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
350
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🗓️ - Date discovered
September 13, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Outside IR35
-
🔒 - Security clearance
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Cloud #R #Azure #Automated Testing #.Net #GitHub #Scala #Deep Learning #Leadership #PyTorch #Data Privacy #Classification #Python #TensorFlow #Agile #Clustering #Compliance #Regression #Microsoft Azure #API (Application Programming Interface) #Code Reviews #Security #Scrum #ML (Machine Learning) #AI (Artificial Intelligence) #Data Pipeline #Data Science
Role description
Applicants must be eligible to work in the specified location, not able to sponsor a work visa now or in future for this position.
Data Scientist - AI/ML Engineer
• Day Rate: £350 per day (Outside IR35)
• Location: Cambridge
• Contract: 6-months rolling
About the Role:
DataBuzz is recruiting a Data Scientist - AI/ML Engineer to join a prestigious organisation. We're looking for skilled Data Scientists - AI/ML Engineer to join our Core AI Services team. In this role, you'll design and scale cloud-native AI platform services and public APIs that act as the foundation for enterprise AI adoption. You'll work in a Scrum team alongside developers, architects, and data scientists, building secure, reliable, and production-grade AI services. If you love solving complex challenges, experimenting with cutting-edge AI, and building systems that make a real impact, this is the role for you.
What You'll Do:
• Build scalable, fault-tolerant cloud-native services on Microsoft Azure.
• Develop secure, well-documented APIs and SDKs for developers inside and outside the organisation.
• Collaborate with teams to deliver end-to-end data pipelines, orchestration, and service APIs.
• Embed security best practices around authentication, authorization, and data privacy.
• Take part in design reviews, code reviews, and architecture discussions to ensure excellence.
• Deploy and manage AI models and tooling for enterprise-scale adoption.
• Mentor junior developers and foster a culture of continuous learning and innovation.
Skills & Experience We're Looking For:
• Software Engineering - 10+ years building cloud-native or platform services with Microsoft and .NET.
• Cloud & PaaS - Hands-on with Microsoft Azure, especially Azure Functions, AKS, and API Management.
• APIs - Expertise in RESTful API design, versioning, testing, life cycle management, and securing APIs.
• AI & ML - Experience with Large Language Models (LLMs), trade-offs in cost vs. performance, and techniques like RAG (Retrieval-Augmented Generation), agent orchestration, prompt engineering, and tool calling.
• AI Standards - Familiarity with Model Context Protocol (MCP) and Agent2Agent (A2A).
• ML Algorithms - Strong knowledge of regression, classification, clustering, and deep learning methods.
• AI Frameworks & Tools - Proficiency in Python, PyTorch, and TensorFlow.
• AI Orchestration - Experience with AI Foundry and/or Semantic Kernel.
• AI Coding Assistants - Fluent with GitHub Copilot and able to use prompt engineering for development.
• Testing & Validation - Familiar with tools for automated testing and evaluation of AI outputs.
• Ethics & Compliance - Awareness of AI safety, ethics, and regulations (NIST AI RMF, EU AI Act), with commitment to responsible AI.
• Collaboration & Leadership - Strong problem-solving mindset, Agile team experience, and ability to mentor junior team members.
What You'll Gain:
• Be part of a team building cutting-edge AI systems at enterprise scale
• Work in a global, collaborative R&D environment with experts across domains.
• Contribute to ethical, trustworthy, and future-ready AI services.
• Competitive day rates with a contract Outside IR35.
If you're passionate about AI, testing, and building robust systems that matter, we'd love to hear from you.
• Apply ASAP!
Applicants must be eligible to work in the specified location, not able to sponsor a work visa now or in future for this position.
Data Scientist - AI/ML Engineer
• Day Rate: £350 per day (Outside IR35)
• Location: Cambridge
• Contract: 6-months rolling
About the Role:
DataBuzz is recruiting a Data Scientist - AI/ML Engineer to join a prestigious organisation. We're looking for skilled Data Scientists - AI/ML Engineer to join our Core AI Services team. In this role, you'll design and scale cloud-native AI platform services and public APIs that act as the foundation for enterprise AI adoption. You'll work in a Scrum team alongside developers, architects, and data scientists, building secure, reliable, and production-grade AI services. If you love solving complex challenges, experimenting with cutting-edge AI, and building systems that make a real impact, this is the role for you.
What You'll Do:
• Build scalable, fault-tolerant cloud-native services on Microsoft Azure.
• Develop secure, well-documented APIs and SDKs for developers inside and outside the organisation.
• Collaborate with teams to deliver end-to-end data pipelines, orchestration, and service APIs.
• Embed security best practices around authentication, authorization, and data privacy.
• Take part in design reviews, code reviews, and architecture discussions to ensure excellence.
• Deploy and manage AI models and tooling for enterprise-scale adoption.
• Mentor junior developers and foster a culture of continuous learning and innovation.
Skills & Experience We're Looking For:
• Software Engineering - 10+ years building cloud-native or platform services with Microsoft and .NET.
• Cloud & PaaS - Hands-on with Microsoft Azure, especially Azure Functions, AKS, and API Management.
• APIs - Expertise in RESTful API design, versioning, testing, life cycle management, and securing APIs.
• AI & ML - Experience with Large Language Models (LLMs), trade-offs in cost vs. performance, and techniques like RAG (Retrieval-Augmented Generation), agent orchestration, prompt engineering, and tool calling.
• AI Standards - Familiarity with Model Context Protocol (MCP) and Agent2Agent (A2A).
• ML Algorithms - Strong knowledge of regression, classification, clustering, and deep learning methods.
• AI Frameworks & Tools - Proficiency in Python, PyTorch, and TensorFlow.
• AI Orchestration - Experience with AI Foundry and/or Semantic Kernel.
• AI Coding Assistants - Fluent with GitHub Copilot and able to use prompt engineering for development.
• Testing & Validation - Familiar with tools for automated testing and evaluation of AI outputs.
• Ethics & Compliance - Awareness of AI safety, ethics, and regulations (NIST AI RMF, EU AI Act), with commitment to responsible AI.
• Collaboration & Leadership - Strong problem-solving mindset, Agile team experience, and ability to mentor junior team members.
What You'll Gain:
• Be part of a team building cutting-edge AI systems at enterprise scale
• Work in a global, collaborative R&D environment with experts across domains.
• Contribute to ethical, trustworthy, and future-ready AI services.
• Competitive day rates with a contract Outside IR35.
If you're passionate about AI, testing, and building robust systems that matter, we'd love to hear from you.
• Apply ASAP!