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AI Graduate Engineer Trainee

Posted July 13, 2026
Fixed Term - Full Time

Job Overview

Great People Work Here.

BizTX: Co-Creating WOW Through Digital Innovation

It’s an exciting time to be part of BizTX at Twinings Ovaltine. At the heart of this iconic brand, we’re on a mission to drive exponential growth and productivity through cutting-edge technology to transform the business globally. 

We’re not here to simply provide IT services. We’re technology leaders and strategic partners, co-creating innovative solutions that help the business run, grow, and transform. Everything we do is guided by our commitment to ‘WOW’ our consumers, customers and colleagues. WOW experiences, WOW solutions, and WOW impact.

Our people think differently. We have an exponential mindset that helps us push boundaries and shape what’s next. The future at Twinings Ovaltine is full of possibility and we’d love you to be a part of it.

Note: This role is 6 months fixed term contract.

You will work on designing, developing, and deploying AI-powered applications using Microsoft technologies, including Azure AI Services, Azure OpenAI, and Microsoft Copilot. Exposure to pro-code development is desirable as we build scalable AI and ML solutions for enterprise business functions.

Key Responsibilities

  • Design, develop, and support AI-powered business solutions using Microsoft AI technologies.
  • Build and integrate solutions using Azure AI Services, Azure OpenAI, and Microsoft Copilot capabilities.
  • Develop prompts, copilots, and AI workflows to automate business processes.
  • Assist in developing Machine Learning models and AI solutions using Azure ML and related services.
  • Integrate AI solutions with Microsoft Power Platform, Microsoft 365, SharePoint, Teams, and other enterprise applications.
  • Collaborate with business stakeholders to understand requirements and translate them into AI use cases.
  • Participate in solution design, testing, deployment, and production support.
  • Keep up to date with emerging AI technologies and recommend innovative approaches.
  • Follow software engineering best practices, documentation standards, and secure coding principles.

Skills, Knowledge and Expertise


Required Skills

Microsoft AI Ecosystem
  • Basic understanding of Microsoft Azure
  • Azure AI Services
  • Azure OpenAI
  • Microsoft Copilot / Copilot Studio
  • Azure Machine Learning (preferred)
  • Azure AI Foundry (preferred)
Programming
  • Python (preferred)
  • C# or .NET (good to know)
  • JavaScript or TypeScript (good to know)
AI & ML
  • Fundamentals of Machine Learning
  • Large Language Models (LLMs)
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG) concepts
  • AI Agents (basic understanding)
  • REST APIs and AI integrations
Cloud & Development
  • Azure fundamentals
  • Git / Azure DevOps
  • REST APIs
  • JSON
  • SQL basics
Educational Qualification
Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Electronics, or related field.

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