Microsoft AI Engineer / Azure Artificial Intelligence Engineer

This is a new and exclusive opportunity for a AI Engineer / Azure Artificial Intelligence Engineer to join a thriving STEM business as they are growing their AI Engineer / Azure Artificial Intelligence centre of excellence.

• Title: AI Engineer / Azure Artificial Intelligence Engineer
• Location: can be either London or Glasow, and expectation is 1 or 2 days a week in the office with home working hybrid flexibility
• Permanent roles only, salary £60,000- £90,000 dependant on location and experience
• Technical stack: Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning
• Requirements Extensive experience with Azure AI solutions, programming expereince (Python, C#, or Java)

Thisis a brilliant new role, and an opportunity to join a business who are genuinley growing this team to be a future centre of excellence for the country. They are also a very supportive home working flexible working environment.

As an AI Engineer specialising in Azure Services, you will be responsible for designing, implementing, and maintaining AI solutions within our organisation.

Leveraging the Azure platform, including Azure OpenAI, Azure Vision and other Azure AI services, you will develop scalable, efficient, and effective AI models and systems to address business challenges, enhance decision-making, and drive innovation.

Collaboration with cross-functional teams to integrate AI capabilities into our products and services will be a key part of your role. This is an opportunity to join a high functioning relaxed team that will significantly contribute to the digital transformation this STEM business.

• Strong Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles.
• Extensive experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus.
• Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure DevOps.
• Qualifications such as the following would be advantageous, however not necessary:
  • Microsoft Azure AI Engineer Fundamentals / Associate
  • Microsoft Azure Data Engineer
  • Microsoft Data Scientist Associate

For more information, and the chance to be considered, please do send through a cv- good luck

To find out more about Huxley, please visit