Machine Learning Engineer

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• Design and deliver scalable AI and machine learning solutions across underwriting, risk, and operations
  
• Own the end-to-end ML lifecycle, from feature engineering to deployment and monitoring
  
• Build and maintain data pipelines and production workflows using Python, TensorFlow, PyTorch, scikit-learn, AWS (S3, Lambda, SageMaker, Step Functions, Bedrock), Snowflake, and Dataiku
  
• Apply MLOps best practices, including CI/CD, automated testing, model versioning, and observability
  
• Define deployment standards and track model performance in production
  
• Contribute to GenAI/LLM initiatives and reusable solution designs
  
• Ensure compliance with governance, risk, and responsible AI standards
  
• Collaborate with cross-functional teams to translate business needs into practical AI solutions
  

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• 3+ years experience in machine learning, data science, and software development
  
• Proficient in Python and/or R
  
• Experience with cloud platforms (e.g. AWS), Linux, and containerised environments
  
• Familiar with xcfaprz modern AI/GenAI approaches (e.g. RAG)
  
• Good understanding of data modelling, governance, and security
  
• Experience with Agile, DevSecOps/DataOps, and testing in production environments
  
• Strong problem-solving skills with a proactive, collaborative mindset
  

If interested in learning more, please apply directly or email me -