Junior Azure Data & AI Engineer

JR United Kingdom; United Kingdom; Hybrid; GBP 40,000 - 80,000; Full time

Job summary

An ambitious and fast-growing international media business is seeking a Junior Azure Data, ML & GenAI Ops Engineer to join their dynamic technology team. This role offers a fantastic opportunity to work at the intersection of data engineering and AI, supporting the development of next-generation digital products. You will be involved in building and optimizing data pipelines, managing cloud storage solutions, and integrating generative AI into business workflows. Join a collaborative environment recognized for innovation and operational excellence, where your contributions will drive significant advancements in technology and digital capabilities.

Qualifications

• Exposure to Azure services and data engineering.
• Strong programming skills in Python and understanding of data formats.

Responsibilities

• Build and maintain data pipelines and APIs using Azure services.
• Assist in managing Azure environments and ensuring data integrity.

Skills

Azure Data Factory

Azure Databricks

Python

Generative AI

MLOps

Azure SQL

Data versioning

Communication Skills

Tools

AzureML

LangChain

PyTorch

TensorFlow

Azure DevOps

Job description

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Client:

DATAHEAD

Location:

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

5

Posted:

05.05.2025

Expiry Date:

19.06.2025

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Job Description:

Remote/Hybrid (UK-based)

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