MLOps Lead: SageMaker & Cloud-Native ML Architect

Uniting Ambition; Greater London; On-site; GBP 120,000 - 160,000; Full time

Job summary

Uniting Ambition is seeking a seasoned technical leader to own ML system architecture and drive large-scale transformation. You will oversee migration from MLflow to AWS SageMaker, steward MLOps across predictive maintenance and fault detection, and mentor a 5–10 person engineering team with a balanced leadership and hands-on focus.

The role demands extensive experience across software, data, and ML engineering, with strong Python, React, and cloud-native skills to accelerate innovation.

Qualifications

• 10+ years in Software, Data, or ML Engineering.
• 5+ years as a Tech Lead, managing teams of 5+.
• Proficiency with Python and MLflow.
• Strong AWS/cloud-native experience, ideally with SageMaker exposure.
• React frontend proficiency; Docker, Kafka, and Spark experience.
• Strong leadership presence and senior stakeholder communication skills.

Responsibilities

• Architectural ownership and delivery of ML systems from backend to frontend.
• Lead migration from MLflow to AWS SageMaker with cross-functional teams.
• Deliver MLOps for predictive maintenance, fault detection, and lifecycle optimisation.
• Mentor and lead a team of 5–10 engineers with a 60/40 split (people leadership/hands-on).

Skills

Python

MLflow

AWS

SageMaker

React

Docker

Kafka

Spark

Leadership

Communication

Tools

SageMaker

Job description

Uniting Ambition is seeking a seasoned technical leader to own ML system architecture and drive large-scale transformation. You will oversee migration from MLflow to AWS SageMaker, steward MLOps across predictive maintenance and fault detection, and mentor a 5–10 person engineering team with a balanced leadership and hands-on focus.

The role demands extensive experience across software, data, and ML engineering, with strong Python, React, and cloud-native skills to accelerate innovation.