Junior Azure Data & AI Engineer

Junior Azure Data, ML & GenAI Ops Engineer (Contractor)

£200–£250 per day | 3-month initial contract | Outide IR35

Remote/Hybrid (UK-based)

Recruiting via: DATAHEAD

We are recruiting on behalf of a leading international media business – an ambitious and fast-growing organisation with a strong track record of innovation and operational excellence. The business is investing heavily in its technology and digital capabilities, creating new opportunities to drive data-driven and AI-led transformation across multiple sectors. They are known for fostering a collaborative and high-performing environment, consistently recognised as a great place to work.

About the Role

We are seeking a Junior Azure Data, ML & GenAI Ops Engineer to join their dynamic technology team on a contract basis. You will play a key role in supporting the development, deployment, and management of next-generation digital products and AI-driven solutions, ensuring scalability, security, and efficiency.

This is a fantastic opportunity to work at the intersection of data engineering, MLOps, and generative AI, alongside an experienced and supportive team.

Key Responsibilities

• Data Engineering: Build, optimise, and maintain robust data pipelines and APIs using Azure Data Factory, Azure Databricks, and Azure API Management.
• Data Storage Solutions: Design and manage cloud storage solutions, ensuring scalability and accessibility across various data types (Azure Storage, Azure SQL).
• Cloud Infrastructure Management: Assist in maintaining and securing Azure environments, ensuring data integrity and controlled access.
• AI & GenAI Integration: Embed Large Language Models (LLMs) and Large Multimodal Models (LMMs) into business workflows, enabling practical applications such as classification, knowledge extraction, and recommendation engines.
• Continuous Improvement: Stay updated on emerging cloud technologies, MLOps practices, and generative AI advancements to continually enhance infrastructure and capability.

Skills and Requirements

• Some level of exposure or a couple of years working with Azure services (Azure Data Factory, Azure Storage/ADLS, Azure SQL, Azure Databricks, AzureML).
• Solid programming skills, ideally in Python, and a strong grasp of data formats like JSON.
• Practical experience working with generative AI models and integrating LLMs into operational solutions.
• Understanding of MLOps practices and familiarity with Azure DevOps.
• Experience with ML frameworks such as LangChain, PyTorch, and TensorFlow, plus exposure to data versioning and model management tools.
• Strong written and verbal communication skills to work collaboratively with a high-performing team and deliver clear documentation.

Desirable Qualifications

• Microsoft Certified: Azure Data Engineer Associate
• Microsoft Certified: Azure AI Engineer Associate

Please Apply!