ML Ops Engineer

Reed; England; Remote; GBP 60,000 - 80,000; Full time

Job summary

A UK-based technology firm is seeking an experienced ML Ops Engineer. This remote-first role involves deploying scalable machine learning solutions, managing Azure ML operations, and collaborating with cross-functional teams. The ideal candidate has strong skills in Azure ML, Python, SQL, and Git, with a passion for data analytics. Applicants must have the right to work in the UK, as no visa sponsorship is offered.

Qualifications

• 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.

Responsibilities

• Design, deploy, and manage ML models in production using Azure ML.
• Build and maintain data pipelines using SQL and Azure Data Factory (ADF).
• Implement CI/CD workflows, monitor model performance, and manage retraining pipelines.
• Write clean, scalable code and manage version control using Git.
• 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.

Skills

Azure ML

Python

SQL

Azure Data Factory (ADF)

Git

ML Ops

Job description

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 usingAzure ML.
• Data Integration: Build and maintain data pipelines usingSQLandAzure 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 usingGit.
• 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 withAzure MLor Azure-based production environments.
• Proficiency inPython,SQL,ADF (Azure Data Factory), andGit.
• Solid understanding ofML 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.