Machine Learning Engineering ManagerON RUNNING • London, England, United Kingdom
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Machine Learning Engineering Manager
ON RUNNING
- London, England, United Kingdom
- London, England, United Kingdom
Über
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.
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Sprachkenntnisse
- English
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