Machine Learning Engineer

• To enable Data Scientists and Decision Scientists to do work more efficiently; build, implement, improve and support platform improvements which will support delivery of the AI strategy.
• To collaborate in creating and delivering the AI strategy to ensure the Bank is able to compete in a fast changing landscape. The effective use of AI technologies will be a key strategic differentiator in the future.

• Length of experience for Machine Learning Engineers is conditional on the qualifications obtained
• Machine learning and software development experience
• Delivering nonstandard predictive models into a production environment
• Working with Python and SQL
• Experience with the modern software development best practices, Working in cloud environments.
• Experience with big data processing frameworks

• Masters Degree in Information Technology - Computer Science or Engineering

• Machine learning model life cycle
• Knowledge of machine learning patterns and concepts
• Understanding of distributed systems
• Understand a broad range of data structures and algorithms, and which to use
• Knowledge of engineering and operational excellence best practices
• Ability to debug code through common troubleshooting techniques such as metrics, logs and traces
• Predictive modelling techniques (statistical and machine learning) and deployment

• Analytical Skills
• Decision making skills
• Planning, organising and coordination skills
• Problem solving skills
• Researching skills

• Clear criminal and credit record

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