ML Ops Engineer

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.

About the Role

You'll be part of a forward-thinking analytics team that supports over 1,400 pension schemes and delivers insights using advanced technology and data science. We value innovation, collaboration, and continuous learning.

Please note: We are unable to offer visa sponsorship for this role. Applicants must have the right to work in the UK.

Key Responsibilities

• 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: Write clean, scalable code and manage version control using Git.
• Cross-functional Collaboration: Work closely with actuaries, analysts, and developers to translate data science into actionable insights.
• Innovation & Support: Stay current with ML trends and support team learning in tools and techniques.

What You'll Bring

Essential Experience:

• 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.
• Ability to communicate technical concepts to non-technical stakeholders.

Desirable:

• Experience in pensions or regulated financial services.
• Background in multidisciplinary team environments.