About this role
Salary: £85,000 - 85,000 per year
Requirements: Strong commercial experience as an ML Engineer with a clear focus on engineering and productionising machine learning modelsStrong hands-on development skills across Python, PySpark and SQLCommercial experience working with Databricks, MLflow and Delta LakeProven experience building and operating distributed data and machine learning pipelinesExperience taking Data Science models from notebooks or development environments into productionStrong understanding of model deployment patterns, model lifecycle management and production ML environmentsExperience implementing model monitoring, data/model drift detection, logging and performance monitoringExposure to CI/CD tooling such as Azure DevOps or GitHub ActionsExperience with containerisation, APIs and batch or real-time model deploymentAbility to collaborate closely with Data Scientists, Data Engineers and Platform teams whilst remaining firmly focused on ML engineering Responsibilities: 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 lifecycleImplement 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 optimisation and secure deployment patternsMaintain strong engineering standards across testing, documentation, code quality, reproducibility and operational reliability Technologies: AzureCI/CDDatabricksDevOpsGitHubMachine LearningMLflowModel TrainingPythonPySparkSQLCloud More:
We are partnering with a leading financial services organisation undergoing a significant data and technology transformation, building out our Machine Learning capability across the business. This is an ML Engineer role based in London with a hybrid working pattern of 3 days per week in the office, offering a salary of up to £85,000. The role is a hands-on engineering position focused on ML pipelines, productionisation, deployment and ongoing model lifecycle management within a modern Databricks environment.
last updated 39 week of 2026