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Machine Learning Engineer - Azure - Consulting

SR2
Job LocationLondon
EducationNot Mentioned
Salary£475 - £500 per day
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypeContract, full-time

Job Description

MLE Engineer - AzureSR2 is recruiting for one of the UKs leading AI companies and looking for a Machine Learning Engineer (MLE) on an outside IR35 contract basis.Responsibilities:

  • Building software and infrastructure that leverages Machine Learning
  • Creating reusable, scalable tools to enable better delivery of ML systems
  • Improving existing systems to enable more scalable, reliable, and maintainable ML systems
  • Working with our customers to help understand their needs
  • Working with data scientists and engineers to develop best practices and new technologies
Experience required:
  • Technical experience of cloud architecture, system design, security, and deployment
  • Understanding of and interest in the full machine learning lifecycle, including deployment of trained ML models using common frameworks (Scikit-learn, TensorFlow, PyTorch) and ideally Azure managed ones (Azure ML Workspace, Azure ML Studio)
  • Experience in Software Engineering including programming and development of applications in Python (e.g. FastAPI)
  • Demonstrable experience with containers (Docker). Kubernetes experience is desirable, but not required
  • Experience deploying Generative AI applications is desirable (e.g. RAG systems, LLM fine-tuning, etc.)
This role is looking to start on June 3rd and run for an initial 10 weeks. Please apply for further details.Required skills
  • MLE
  • Cloud
  • Azure
  • Terraform
  • Machine Learning Engineer

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