Remote MLOps Engineer - Azure ML Studio Expert

Proactive.IT Appointments Limited; Bristol; On-site; GBP 45,000 - 60,000; Full time

Benefits offered by this job

6% Bonus

Remote (UK)

Job summary

Proactive.IT Appointments Limited in the United Kingdom is looking for an experienced AI/ML Engineer to design, build, and deploy production ML models using Azure Machine Learning Studio. You will collaborate with actuarial and analytics teams to improve predictions on longevity, default risk, and investment outcomes.

The role requires strong Python and SQL, data pipeline development with Azure Data Factory, and applying MLOps practices, CI/CD, and robust monitoring in a modern data environment.

Qualifications

• Hands-on experience with AML Studio end-to-end model development, deployment and lifecycle management.
• Experience building and optimizing ML models using Azure ML workflows.
• Strong Python/SQL skills for data manipulation, modeling, and automation.

Responsibilities

• Model Development (Azure Machine Learning Studio focus) design, build, and deploy ML models in production environments.
• Machine Learning Operations (MLOps in Azure) manage full ML lifecycle, deployment, monitoring, and retraining pipelines.
• Data Engineering and Preprocessing develop scalable data pipelines with Python, SQL, and Azure Data Factory.

Skills

AML Studio

Python

SQL

CI/CD

MLOps

Azure Data Factory

Power BI

Tools

Azure ML Studio

Azure Data Factory

Power BI

CI/CD tooling

Job description

Proactive.IT Appointments Limited in the United Kingdom is looking for an experienced AI/ML Engineer to design, build, and deploy production ML models using Azure Machine Learning Studio. You will collaborate with actuarial and analytics teams to improve predictions on longevity, default risk, and investment outcomes.

The role requires strong Python and SQL, data pipeline development with Azure Data Factory, and applying MLOps practices, CI/CD, and robust monitoring in a modern data environment.