Senior MLOps Engineer / MLOps Manager
£100,000 - £120,000+ DoE
Hybrid | London | 2 x weekly office visits
Permanent
The Business
Join a globally recognised brand with a legacy of excellence and a track record of shaping its industry.
While its heritage is well established, 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 their next phase of growth and lead complex transformation initiatives.
The Role
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 SageMaker, 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).
About you
- 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 SageMaker exposure)
- React frontend proficiency
- Docker, Kafka, and large-scale data systems (e.g. Spark) experience
- Strong leadership presence and senior stakeholder communication skills
If you have the technical expertise, leadership experience and ambition to make an impact at scale, please apply now.
We'd be delighted to discuss the opportunity with you.