Senior Machine Learning Operations Engineer (MLOPS)

Royal London; City of Edinburgh; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

28 days annual leave

Pension matching up to 14%

Private medical insurance

Job summary

Royal London is seeking a Senior Machine Learning Operations Engineer to provide technical leadership for ML workflows from experimentation to production. You will work with data scientists and platform teams to establish standards for CI/CD, experiment tracking, model lineage and governance.

You'll leverage Databricks, MLflow and Azure ML to build scalable, well-governed pipelines that are reproducible, traceable and auditable, while embedding model risk management into delivery and promoting

Qualifications

• Experience building production-grade ML workflows on cloud platforms.
• Strong understanding of CI/CD for ML pipelines and experiment tracking.
• Knowledge of model governance, lineage and auditability requirements.
• Hands-on in Databricks, MLflow and Azure ML ecosystems.

Responsibilities

• Design and evolve scalable ML workflows for production.
• Lead use of MLflow for experiment tracking and lifecycle management.
• Build reusable CI/CD patterns for model training, validation, promotion and inference.
• Champion reproducibility, testing and configuration management.
• Collaborate with data scientists and platform teams to productionise models safely.

Skills

Python

Security awareness

Responsible AI

Model governance

Data engineering concepts

Tools

Azure DevOps

Azure ML

Azure Data Factory

Databricks

MLflow

GitHub Actions

SQL

Spark

Job description

Job description:

Contract Type: Permanent Location: Edinburgh or Glasgow or Alderley Park (Wilmslow) Working Style: Hybrid - 50% from home / 50% 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.
• 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.

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.