Senior MLOps Engineering Lead | AWS SageMaker

Uniting Ambition; Greater London; Hybrid; GBP 100,000 - 120,000; Full time

Job summary

Uniting Ambition is seeking an MLOps Engineering Manager to lead ML systems from backend infrastructure to frontend integration in a hybrid London setting. You will guide architecture, deliver MLops projects, and collaborate with data scientists and engineers for migrating from MLflow to SageMaker.

The role demands 10+ years in software/data/ML, 5+ years as a tech lead, and strong Python, AWS/SageMaker, and React experience. You will manage 5–10 engineers with a 60/40 people/hands-on split.

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 large-scale data systems (e.g. Spark) experience
• Strong leadership presence and senior stakeholder communication skills

Responsibilities

• Provide technical leadership and architectural ownership for ML systems
• Lead migration from MLflow to AWS SageMaker with cross-functional teams
• Deliver MLOps including predictive maintenance, fault detection, and lifecycle optimisation
• Mentor and manage a team of 5-10 engineers with a 60/40 focus on people leadership/hands-on

Skills

Python

MLflow

AWS

SageMaker

React

Docker

Kafka

Spark

Leadership

Tools

MLflow

AWS

SageMaker

Docker

Kafka

Spark

React

Job description

Uniting Ambition is seeking an MLOps Engineering Manager to lead ML systems from backend infrastructure to frontend integration in a hybrid London setting. You will guide architecture, deliver MLops projects, and collaborate with data scientists and engineers for migrating from MLflow to SageMaker.

The role demands 10+ years in software/data/ML, 5+ years as a tech lead, and strong Python, AWS/SageMaker, and React experience. You will manage 5–10 engineers with a 60/40 people/hands-on split.