MLOps Tech Lead: End-to-End ML Delivery & Mentorship

Uniting Ambition; Slough; On-site; GBP 100,000 - 150,000; Full time

Job summary

Uniting Ambition seeks an MLOps Technical Manager to lead a growing ML engineering function and deliver scalable ML systems across backend and frontend. You'll work with data scientists and engineers, guiding architecture, pipelines, and deployment practices.

The role combines hands-on technical work (about 40%) with people management and senior stakeholder engagement, requiring strong leadership and communication skills.

Qualifications

• 10+ years in Software, Data, or ML Engineering roles.
• Proven track record as a Tech Lead (5+ people).
• Deep expertise in MLOps including training, serving, monitoring, and CI/CD.
• Strong Python proficiency (essential).
• Hands-on MLflow experience is mandatory.
• Experience with AWS and cloud-native architectures.
• Frontend experience with React for end-to-end features.

Responsibilities

• Own end-to-end delivery of ML systems from backend to frontend.
• Lead architectural decisions for scalable ML stack.
• Drive migration from MLflow to AWS SageMaker with minimal disruption.
• Define and enforce MLOps best practices across pipelines.

Skills

MLOps

Python

AWS

React

Docker

Spark

Kafka

Leadership

CI/CD

Stakeholder communication

Tools

MLflow

SageMaker

Terraform

Job description

Uniting Ambition seeks an MLOps Technical Manager to lead a growing ML engineering function and deliver scalable ML systems across backend and frontend. You'll work with data scientists and engineers, guiding architecture, pipelines, and deployment practices.

The role combines hands-on technical work (about 40%) with people management and senior stakeholder engagement, requiring strong leadership and communication skills.