Data Scientist Contract - Outside IR35

⭐ - Featured Role | Apply direct with Data Freelance Hub
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
350
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πŸ—“οΈ - Date discovered
September 16, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
On-site
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πŸ“„ - Contract type
Outside IR35
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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
#Data Privacy #Security #Regression #Classification #PyTorch #TensorFlow #Python #Azure cloud #Data Pipeline #Microsoft Azure #Deep Learning #Cloud #Data Science #Clustering #Pandas #Libraries #Programming #Scrum #AI (Artificial Intelligence) #ML (Machine Learning) #Scala #Code Reviews #Azure
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 β€’ Day Rate: Β£350 per day (Outside IR35) β€’ Location: Cambridge About the Role: DataBuzz is hiring a Data Scientist – AI/ML Engineer to join our Core AI Services team. You’ll design and scale cloud-native AI platform services and APIs that power enterprise AI adoption. Working in a Scrum team with developers, architects, and data scientists, you’ll build secure, reliable, and production-grade AI solutions. If you’re passionate about solving complex challenges and advancing cutting-edge AI, this role is for you. Skills & Experience β€’ 10+ Years of software engineering, with 4+ years of proven expertise as a Data Scientist or in a similar role. β€’ Strong programming skills in Python are essential, including libraries such as pandas, scikit-learn, TensorFlow, or PyTorch. β€’ Experience working with Large Language Models (LLMs). β€’ Understanding of Retrieval-Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling β€’ Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A) β€’ Experience in working with various ML algorithms (regression, classification, clustering, deep learning) β€’ Familiarity with Azure cloud platform. β€’ Strong problem-solving skills and the ability to explain technical concepts to non-technical audiences are important. What You'll Do: β€’ Build scalable, fault-tolerant cloud-native services on Microsoft Azure. β€’ Develop secure, well-documented APIs and SDKs for developers inside and outside the organisation. β€’ Collaborate with teams to deliver end-to-end data pipelines, orchestration, and service APIs. β€’ Embed security best practices around authentication, authorization, and data privacy. β€’ Take part in design reviews, code reviews, and architecture discussions to ensure excellence. β€’ Deploy and manage AI models and tooling for enterprise-scale adoption. β€’ Mentor junior developers and foster a culture of continuous learning and innovation.