SFIA Skills: Machine learning (MLNG)

Advises on the effectiveness of specific techniques, based on project findings and on knowledge of wider research. Assesses machine learning suitability and designs and develops machine learning solutions for a range of business problems.

Contributes to the development of organisational policies for the creation, training and use of machine learning systems.

Architects end-to-end machine learning pipelines and systems. Evaluates and selects appropriate tools, frameworks, and infrastructure for machine learning projects.

Collaborates with cross-functional teams to integrate machine learning models into production systems. Conducts in-depth performance analysis and troubleshoots issues.

Collaborates with stakeholders to align machine learning initiatives with organisational goals.