ML Engineer

ML EngineerLondon - Hybrid, 3 days per week in officeUp to £85,000VIQU are partnering with a leading financial services organisation undergoing a significant data and technology transformation, building out its Machine Learning capability across the business. They are seeking an ML Engineer to build, deploy and operate production-grade ML solutions, working closely with Data Scientists to take models from development through to reliable production environments. This is a hands-on engineering role focused on ML pipelines, productionisation, deployment and ongoing model life cycle management within a modern Databricks environment.Key Responsibilities of the ML Engineer: Build and automate end-to-end ML pipelines covering feature engineering, model training, scoring and deploymentProductionise models developed by Data Scientists, transforming notebooks and prototypes into modular, tested and production-ready codeDevelop scalable ML solutions using Python, PySpark, Databricks and MLflowDeploy machine learning models into batch and Real Time environments through APIs, scheduled workflows and production pipelinesManage model versioning, promotion and rollback throughout the ML life cycleImplement monitoring and observability across production models, including model and data drift, performance alerts and loggingDevelop automated retraining processes to maintain model performance and reliabilityWork closely with Data Engineering and Platform teams on CI/CD integration, compute ..... full job details .....