Data Scientist

ZipRecruiter; Cambridge; Hybrid; GBP 100,000 - 125,000; Full time

Job summary

A leading technology firm in Cambridge seeks an experienced Data Scientist – AI/ML Engineer to join their Core AI Services team. This position will focus on designing and scaling cloud-based AI platforms and APIs that empower enterprise-wide AI adoption. The ideal candidate will possess strong programming skills in Python and experience with Azure, along with a passion for solving complex AI challenges in a collaborative R&D environment.

Qualifications

• 7+ years of experience as a Data Scientist or similar role.
• Strong programming skills in Python, including use of libraries such as pandas, scikit-learn.
• Experience working with large models (LLMs).
• Understanding of Retrieval-Augmented methodologies.

Responsibilities

• Build scalable, fault-tolerant cloud services on Microsoft Azure.
• Develop secure, well-documented APIs and SDKs.
• Collaborate on end-to-end data pipelines and service APIs.
• Embed security best practices around authentication.

Skills

Python programming

AI model development

Problem-solving

Data analysis

Tools

Azure

TensorFlow

PyTorch

Job description

Job Description

About the Role

Outside IR35 £200 - £300

Initial 6 month contract - high possibility of 18 months

Hybrid work

Our client is hiring a Data Scientist – AI/ML Engineer to join our Core AI Services team. You’ll be at the forefront of designing and scaling cloud- AI platform services and APIs that enable enterprise-wide AI adoption. Working within a collaborative Scrum team, you’ll help build secure, reliable, and production-grade AI solutions that are ethical, scalable, and future-ready.

This is a unique opportunity to work on cutting-edge AI systems in a global R&D environment, contributing to the development of trustworthy AI services.

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- 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:

• 7+ Years of experience 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 Models (LLMs).
• Understanding of Retrieval-Augmented (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- 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.