Senior Staff MLOps Engineer

Location: London | Hybrid (3/4 days in office)

We are looking for a Senior Staff MLOps Engineer to join a growing AI function within a global, organisation focused on developing medicines for patients.

The team is developing production-quality AI capabilities using complex biomedical data, with the aim of turning cutting-edge machine learning research into tools and models that scientists can reliably use, trust and scale.

This is a senior technical leadership position, rather than a traditional line-management role. You will lead on MLOps technology, architecture and best practice, mentor engineers and help establish how the function operates as it grows. The role is about taking innovative ML work and turning it into something robust, reliable and operational.

You will look across the entire model lifecycle, from training and experimentation through to deployment, monitoring, and maintenance.

Responsibilities include:

• Defining the MLOps architecture, strategy and technical roadmap.
• Establishing standards and best practices for taking models from research into production.
• Building highly reliable ML services that scientists can trust and use consistently.
• Supporting models once they are live, identifying issues and ensuring problems can be resolved quickly.
• Establishing approaches to experiment tracking, model registries, versioning, lineage and model governance.
• Supporting large-scale and distributed model training across multiple machines.
• Developing approaches to CI/CD, model deployment, serving and monitoring.
• Partnering with Data Engineering teams to ensure data is prepared appropriately for production ML workloads.
• Mentoring engineers and acting as the technical escalation point for the most challenging MLOps problems.