MLE Engineer - Azure

SR2 is recruiting for one of the UK's 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 (eg FastAPI)
• Demonstrable experience with containers (Docker). Kubernetes experience is desirable, but not required
• Experience deploying Generative AI applications is desirable (eg 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.