MLOps Lead

A long established business still nimble enough to stay current, the organisation is firmly focused on the future, making major investments across technology, data, and AI to accelerate innovation at scale.

As part of this journey, they are now seeking a highly capable technical leader to help support the next phase of growth and lead complex transformation initiatives.

This is a combination of strong technical leadership, architectural ownership and delivery responsibility of ML systems (from backend infrastructure through to frontend integration).

There is an ongoing migration from MLflow to AWS Sage Maker, so you will be working closely with data scientists, engineers and cross-functional stakeholders to deliver this.

You will also be responsible for MLOps delivery from predictive maintenance, fault detection, and component lifecycle optimisation, while leading and mentoring a team of engineers.

You will also be working with 5-10 engineers with a slightly higher focus on people leadership (approximately 60/40 split - people leadership / hands‑on).

• 10+ years in Software, Data, or ML Engineering
• 5+ years as a Tech Lead, managing teams of 5+, owning end-to-end technical delivery
• Proficiency with Python and MLflow
• Strong AWS/cloud-native experience ( ideally with Sage Maker exposure)
• React frontend proficiency
• Docker, Kafka, and large-scale data systems (e.g. Spark) experience
• Strong leadership presence and senior stakeholder communication skills

We'd be delighted to discuss the opportunity with you.