ML Ops Engineer Remote (Occasional London Meetups) | Full-Time, Permanent | UK Based | Cannot sponsor
Specialising in Azure ML, Data Integration & Scalable ML Ops
Are you an experienced ML Ops Engineer with a passion for deploying scalable machine learning solutions in Azure? This remote-first role (with occasional meetups in London) offers the opportunity to work on impactful data analytics projects in the pensions advisory space.
Youll be part of a forward-thinking analytics team that supports over 1,400 pension schemes and delivers insights using advanced technology and data science. Azure ML Operations : Design, deploy, and manage ML models in production using Azure ML.
Data Integration : Build and maintain data pipelines using SQL and Azure Data Factory (ADF).
ML Ops : Implement CI/CD workflows, monitor model performance, and manage retraining pipelines.
Python Development : Cross-functional Collaboration : Work closely with actuaries, analysts, and developers to translate data science into actionable insights.
Stay current with ML trends and support team learning in tools and techniques.
Strong hands-on experience with Azure ML or Azure-based production environments.
Proficiency in Python, SQL, ADF (Azure Data Factory), and Git.
Solid understanding of ML Ops, CI/CD, and model lifecycle management.
Experience in pensions or regulated financial services.