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# Senior Machine Learning Operations Engineer (MLOPS)

- **Company:** Royal London Mutual Insurance Society
- **Location:** Glasgow, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Configuration Management, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Github, Python (Programming Language), Standard Sql, Azure Machine Learning, Apache Spark, Data Lineage, Machine Learning Operations, Software Version Control, Databricks
- **Published:** August 17, 2026
- **Apply:** https://www.efinancialcareers.com/jobs-United_Kingdom-Wilmslow-Senior_Machine_Learning_Operations_Engineer_MLOPS.id24651354

## About the Role

Hands-on experience with Databricks, MLflow and production-grade ML workflows. Experience designing CI/CD pipelines using Azure DevOps, GitHub Actions or similar tools. Advanced Python skills, with knowledge of SQL, Spark and testing approaches for ML. Understanding of data engineering concepts such as ETL/ELT, feature stores and lineage tracking. Awareness of security, governance, Responsible AI and relevant AI regulation. If you feel you'd be a great fit for Royal London but don't meet every requirement, we'd still love to hear from you! ㅤ About Royal London We're the UK's largest mutual life, pensions and investment company, offering protection, long-term savings and asset management products and services. Our People Promise is to make Royal London inclusive, responsible, enjoyable and fulfilling, underpinned by our Spirit of Royal London values: Empowered, Trustworthy, Collaborate and Achieve. We offer great benefits, including 28 days' annual leave plus bank holidays, up to 14%
employer pension matching and private medical insurance. Inclusion, diversity and belonging We're an inclusive employer and welcome applications from people of all backgrounds. We value the different perspectives, experiences and skills our colleagues bring.

## Description

strengthen governance and reduce operational risk. As a senior practitioner, you'll champion engineering excellence, reusable patterns and production-ready ways of working. You'll mentor colleagues, support communities of practice and influence platform and architecture decisions so ML products deliver sustainable business value at scale. More About the role: Design and evolve scalable, production-grade ML workflows on Databricks. Lead effective use of MLflow for experiment tracking, model versioning, lineage and lifecycle management. Build reusable CI/CD patterns for model training, validation, promotion and inference. Champion strong engineering practices, including modular Python, testing, reproducibility and configuration management. Work with data scientists and platform teams to productionise models safely and efficiently. Mentor colleagues and support high standards across the team. More about you: Strong experience with Azure, including Azure ML, Data Factory and Azure DevOps.


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