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Azure Machine Learning Engineer

2 months ago

London UK, UK, United Kingdom DataCareers Full time

Azure Machine Learning Engineer

6 Month Contract

Rate: £600 - £650 per day (Inside IR35)

Location: London / Home (Hybrid)


Skills: Microsoft Machine Learning, Azure AI, Infrastructure as Code, Python


We are looking to recruit an SC Cleared Azure Machine Learning Engineer for a leading technology consultancy. Working with a client based in central London the Azure Machine Learning Engineer will be joining a team who are experienced data scientists, but with less experience in Microsoft Azure tools (e.g. Microsoft Machine Learning and Azure AI) that are being brought in by my client.


The ML Engineer should help with the upskilling of the team in these tools as well as being part of a team delivering pilot use cases in Azure.


This is a hybrid role and you will be required to work 2 days a week in London. Valid SC Clearance is essential.


Experience:


  • Experience in working with Microsoft Azure technologies for machine learning and AI, including good knowledge of cloud architecture and networking for Azure-specific solutions.
  • Experience in Infrastructure as Code deployments
  • Experience in data pipelines for machine learning workflows.
  • Experience in deploying machine learning models and large language models.
  • Experience in establishing CI/CD pipelines.
  • Proficiency in programming with Python plus any additional programming languages.
  • Strong foundations in data science methods and best practices.
  • Experience with open-source machine learning libraries and deep learning frameworks.
  • Experience with at least one big data framework.
  • Record of having been part of a team that has deployed one or more digital products to users successfully.
  • Strong awareness of ethical issues and privacy considerations in deploying artificial intelligence solutions.
  • Strong communication skills and the ability to work well with cross-functional collaborators and stakeholders.
  • Focus on continuous learning.