Job Description: We are seeking an experienced Machine Learning Engineer with expertise in big programmes and has contributed to the delivery of complex business cloud solutions. The ideal candidate will have a strong background in Machine Learning engineering and an expert in operationalising models in the Databricks MLFlow environment (chosen MLOps Platform). Responsibilities: Collaborate with Data Scientists and operationalize the model with auditing enabled, ensure the run can be reproduced if needed. Implement Databricks best practices in building and maintaining economic modelling (Machine Learning) pipelines. Ensure the models are modular. Ensure the model is source-controlled with agreed release numbering. Extract any hard-coded elements and parameterise them so that the model execution can be controlled through input parameters. Ensure the model input parameters are version-controlled and logged to the model execution runs for auditability. Ensure model metrics are logged to the model runs. Ensure model logging, monitoring, and alerting to make sure any failure points are captured, monitored and alerted for support team to investigate or re-run of the model involves running of multiple experiments and choosing the best model (champion challenger) based on the accuracy/error rate of each experiment, ensure this is done in an automated manner. Ensure the model is triggered to run as per the defined schedule. If the process involves executing multiple models feeding ..... full job details .....