Machine Learning Engineering Manager

ON RUNNING; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

A leading fitness technology company in Greater London is seeking an experienced ML Engineering Manager. This role involves leading engineering teams in delivering cutting-edge Machine Learning and AI platforms. Candidates must have 8+ years of experience in ML production implementation, proven people leadership skills, and expertise in cloud technologies, preferably GCP. The position offers an opportunity to shape the AI backbone of the company and drive growth through advanced technological solutions.

Qualifications

• 8+ years of experience in ML and AI production implementation.
• Experience in managing engineering teams with direct reports.
• Expert knowledge of cloud platforms, preferably GCP.

Responsibilities

• Lead the end-to-end delivery of AI platforms.
• Champion MLOps best practices.
• Evolve infrastructure to support autonomous agents.

Skills

Deep Domain Expertise

Proven People Leadership

Cloud & Platform Fluency

Collaborative Influence

Job description

Overview

Your mission as a ML Engineering Manager is to lead, and manage the end-to-end delivery of cutting-edge, production-grade Machine Learning and AI platforms. This role requires you to set the technical direction for your domain and champion MLOps best practices, ensuring a focus on scalable and reliable systems. While our foundation is built on traditional MLOps, we are rapidly expanding into Agentic Intelligence. You will play a pivotal role in evolving our infrastructure to support autonomous agents that can reason, use tools, and drive business impact. You will not just lead a team; you will build the backbone of AI at On, turning massive data streams into the competitive edge that powers our global growth.

Your story

You are a proven domain expert and leader ready to manage one or more engineering teams, accountable for technical delivery, quality, and hiring in the ML platform space. You should be able to demonstrate:

• Deep Domain Expertise: 8+ years of related experience or equivalent, with deep technical expertise in ML and AI production implementation and MLOps and AgentOps principles, including a strong track record in building and operating robust, end-to-end machine learning pipelines.
• Proven People Leadership: Proven experience in managing one or more teams with Individual Contributors (ICs) under direct management. You possess the ability to empower your team to ship high-quality code at pace, helping them navigate trade-offs between perfect and 'production-ready.
• Cloud & Platform Fluency: Expert knowledge of technology concepts such as streaming, architecture and AI-components like model stores or feature stores, with hands-on experience on cloud platforms (GCP preferred) and automated CI/CD for ML.
• Collaborative Influence: You are an exceptional communicator and a genuine team player, adept at guiding team decisions, fostering consensus through professional influence, and effectively conveying complex technical information to diverse audiences.