Junior Azure Data & AI Engineer

DATAHEAD; United Kingdom; Remote; GBP 30,000 - 50,000; Full time

Job summary

Join a forward-thinking international media business as a Junior Azure Data, ML & GenAI Ops Engineer. This exciting role offers the chance to work on cutting-edge digital products and AI-driven solutions in a collaborative environment. You will support the development and deployment of next-generation technologies, ensuring scalability and security. With a focus on data engineering and MLOps, you'll be part of a dynamic team that values innovation and operational excellence. This is a fantastic opportunity for those looking to grow their career in a rapidly evolving field.

Qualifications

• Entry-level position requiring exposure to Azure services and data engineering.
• Strong programming skills in Python and understanding of MLOps practices.

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

MLOps

Generative AI

Data Engineering

Azure SQL

Azure Storage

Communication Skills

Tools

AzureML

LangChain

PyTorch

TensorFlow

Azure DevOps

Job description

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This range is provided by DATAHEAD. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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

1. Data Engineering: Build, optimise, and maintain robust data pipelines and APIs using Azure Data Factory, Azure Databricks, and Azure API Management.
2. Data Storage Solutions: Design and manage cloud storage solutions, ensuring scalability and accessibility across various data types (Azure Storage, Azure SQL).
3. Cloud Infrastructure Management: Assist in maintaining and securing Azure environments, ensuring data integrity and controlled access.
4. 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.
5. Continuous Improvement: Stay updated on emerging cloud technologies, MLOps practices, and generative AI advancements to continually enhance infrastructure and capability.

Skills and Requirements

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

Desirable Qualifications

Please Apply!

Seniority level

• Entry level

Employment type

• Contract

Job function

• Analyst and Information Technology

Industries

• Technology, Information and Media, Broadcast Media Production and Distribution, and IT Services and IT Consulting