Senior Machine Learning Operations Engineer (MLOPS)

Women in Data®; City of Edinburgh; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

28 days annual leave

Employer pension matching

Private medical insurance

Job summary

Royal London is seeking a Senior Machine Learning Operations Engineer to lead productionising ML pipelines and governance across environments.

You will collaborate with data scientists and platform teams to define CI/CD, experiment tracking and model lineage using Databricks, MLflow and Azure ML, delivering scalable, auditable workflows with strong security and governance. The role also involves mentoring colleagues and shaping engineering patterns.

Qualifications

• Strong experience with Azure, including Azure ML, Data Factory and Azure DevOps.
• Hands-on experience with Databricks, MLflow and production-grade ML workflows.
• 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.

Responsibilities

• 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.

Skills

Python

SQL

Spark

Testing practices

Security & governance

Tools

Databricks

MLflow

Azure ML

Azure Data Factory

Azure DevOps

Job description

• Location: Edinburgh or Glasgow or Alderley Park (Wilmslow)


• Working Style: Hybrid 50% home/office based

We have an exciting opportunity for a experienced Senior Machine Learning Operations Engineer to join Royal London’s Group Data and AI Office. In this role, you’ll provide senior technical leadership for the workflows, tooling and engineering practices that take machine learning safely and reliably from experimentation into production.

Working closely with data scientists, data engineers and platform teams, you’ll define and evolve standards for CI/CD, experiment tracking, model lineage and controlled promotion across environments. Using Databricks, MLflow and Azure ML, you’ll help create scalable, well-governed pipelines that are reproducible, traceable and auditable.

You’ll also embed model risk management into delivery, supporting repeatable builds, clear lineage, transparent decision points and audit trails that 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.


• Hands-on experience with Databricks, MLflow and production-grade ML workflows.


• 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.

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


• 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.

Women in Data advertise roles on behalf of our partners, alliances, and members.

We are proud supporters of Women in Data. Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community.

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