Data science/AI/ML engineer

Opus RS • Cambridge, United Kingdom • £25 - £37 / hour • 3w ago

About the Role
Outside IR35 £200 - £300
Initial 6 month contract - high possibility of 18 months
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-native 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.

What You’ll Do

Build scalable, fault-tolerant cloud-native services on Microsoft Azure, including Azure Functions, AKS, and API Management.
Develop secure, well-documented RESTful APIs and SDKs, managing their full lifecycle.
Deliver end-to-end data pipelines, orchestration, and service APIs.
Deploy and manage AI models and tooling for enterprise-scale adoption.
Embed security best practices around authentication, authorization, and data privacy.
Participate in design reviews, code reviews, and architecture discussions.
Use AI orchestration tools like AI Foundry or Semantic Kernel.
Apply prompt engineering and leverage tools like GitHub Copilot for development.
Ensure responsible AI practices aligned with NIST AI RMF, EU AI Act, and other ethical standards.
Mentor junior developers and foster a culture of continuous learning and innovation.

Skills & Experience

10+ years in software engineering, with strong experience building cloud-native or platform services using Microsoft and .NET.
4+ years in a Data Scientist or AI/ML Engineer role.
Proficiency in Python, including libraries like pandas, scikit-learn, TensorFlow, and PyTorch.
Deep understanding of ML algorithms: regression, classification, clustering, and deep learning.
Hands-on experience with Large Language Models (LLMs) and techniques such as Retrieval-Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling.
Familiarity with AI standards like Model Context Protocol (MCP) and Agent2Agent (A2A).
Experience with automated testing and validation of AI outputs.
Strong problem-solving mindset and ability to communicate technical concepts to non-technical audiences.
Agile team experience and a collaborative approach to leadership.

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 domain experts.
Contribute to the development of ethical and trustworthy AI services.
Competitive day rates with a contract Outside IR35.

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