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Azure AI Engineer

Rise Technical Recruitment Limited
Posted 4 days ago, valid for 7 days
Location

London, Greater London EC1R 0WX

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • This is a remote Azure AI Engineer position offering a salary between UK£60,000 and £80,000, depending on experience.
  • The role involves designing, developing, and deploying AI-driven solutions using Microsoft Azure, particularly Azure Machine Learning and Cognitive Services.
  • Candidates should have strong experience in developing AI solutions, with proficiency in programming languages such as Python or C#.
  • A deep understanding of cloud architecture, data engineering, and MLOps is required, along with the ability to optimize AI models for scalability.
  • Azure/AI certifications are beneficial but not essential, and the company promotes a great working culture with autonomy and career growth opportunities.

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.

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.