Job Specifications
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!
About the Company
Looking to harness the power of data, analytics, and technology for your business? DATAHEAD, a London-based talent solutions provider, is your go-to partner. In today's world, digital transformation isn't a luxury - it's a necessity. Companies are reshaping their strategies, and the right talent can make or break this transition. That's where DATAHEAD comes in.
We don't just find technical experts; we connect you with individuals who share your mindset and approach to work, offering a bespoke service unique to your needs.
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