Job description

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!

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