Senior Lead - Machine Learning Engineering
UK Visa Sponsorship Analytics
Occupation Type
Programmers and software development professionals
Occupation Code Skill LevelHigher Skilled
Sponsorship Salary Threshold
£54,700
(£28.05 per hour)
Occupation rate applies
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Description
In short
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 mission
Your Primary Objectives As An ML Engineering Manager Are
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 mission
Your Primary Objectives As An ML Engineering Manager Are
- Provide Technical Leadership & Architectural Vision: Be accountable for your team's technical decisions and solutions, ensuring they align with MLOps best practices and On Tech's architecture north star, security, and compliance guidelines.
- Drive Strategic Alignment & Business Impact: Partner with cross-functional stakeholders to understand business requirements, and proactively identify and deliver ML solutions that have a significant impact on stakeholders across functions or regions.
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.
On is a place that is centered around growth and progress. We offer an environment designed to give people the tools to develop holistically – to stay active, to learn, explore and innovate. Our distinctive approach combines a supportive, team-oriented atmosphere, with access to personal self-care for both physical and mental well-being, so each person is led by purpose.
On is an Equal Opportunity Employer. We are committed to creating a work environment that is fair and inclusive, where all decisions related to recruitment, advancement, and retention are free of discrimination.