MLOps Lead

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

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.

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

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