Azure AI Engineer

Rise Technical Recruitment; London; Remote; GBP 60,000 - 80,000; Full time

Job description

Azure AI Engineer
Remote UK
60,000 - 80,000 (DOE) + Holiday + Pension + Healthcare + Remote Working + Great working Culture + Autonomy

This is an exciting opportunity for an Azure AI Engineer to join a fast-growing company that offers autonomy, career growth, and a highly competitive salary.

The company specialises in developing innovative software and AI-driven solutions for the fashion industry, with all technologies designed and built in-house by expert software professionals. Due to increasing demand, they are expanding their senior leadership team to drive innovation and support continued growth.

In this role, you will design, develop, and deploy AI-driven solutions using Microsoft Azure, leveraging services such as Azure Machine Learning and Cognitive Services. You will integrate AI models into cloud-based applications, ensuring scalability and performance. Your responsibilities will include training and fine-tuning machine learning models, automating AI workflows, optimising cloud infrastructure, and ensuring compliance with security and governance standards.

The ideal candidate will have strong experience in developing and deploying AI solutions using Microsoft Azure, with expertise in Azure Machine Learning and Cognitive Services. Proficiency in programming languages such as Python or C#, along with experience in machine learning frameworks is essential. A deep understanding of cloud architecture, data engineering, and MLOps is required. Additionally, the candidate should have the ability to optimise AI models for scalability, and a solid grasp of security and compliance in cloud environments. Azure/AI certifications would be beneficial but not essential.

The Role:

• Design, develop, and deploy AI-driven solutions using Microsoft Azure.
• Leverage Azure Machine Learning and Cognitive Services for AI development.
• Integrate AI models into cloud-based applications for scalability and performance.
• Train and fine-tune machine learning models to enhance accuracy and efficiency.
• Automate AI workflows and optimize cloud infrastructure.
• Ensure compliance with security and governance standards.

The Person:

• Strong experience in developing and deploying AI solutions using Microsoft Azure.
• Expertise in Azure Machine Learning and Cognitive Services.
• Proficiency in programming languages such as Python or C#.
• Experience with machine learning frameworks like TensorFlow or PyTorch.
• Deep understanding of cloud architecture, data engineering, and MLOps.
• Ability to optimize AI models for scalability and performance.
• Knowledge of security and compliance in cloud environments.
• Azure/AI certifications are beneficial but not essential.