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
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
* 10+ Years of software engineering, with 4+ years of proven expertise as a Data Scientist or in a similar role.
* Strong programming skills in
Python
are essential, including libraries such as pandas, scikit-learn, TensorFlow, or PyTorch.
* Experience working with Large Language Models (
LLMs
).
* Understanding of Retrieval-Augmented Generation (
RAG
), agent orchestration, prompt engineering, and tool calling
* Familiarity with AI standards such as Model Context Protocol (
MCP
) and Agent2Agent (
A2A
)
* Experience in working with various
ML algorithms
(regression, classification, clustering, deep learning)
* Familiarity with
Azure
cloud platform.
* Strong problem-solving skills and the ability to explain technical concepts to non-technical audiences are important.
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.