Staff Machine Learning Engineer

La Fosse
London
9 months ago
Applications closed

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Staff Machine Learning EngineerPaying up to £180,000 + 10% bonus + £25,000 RSUs.Remote first – commutable distance to London for occasional visits.Leading sports tech companyI am currently working with an established business within the SportsTech industry who are going through the next generation or cutting-edge ML transformation and need an experienced Staff Machine Learning Engineer to lead transformational AI/ML projects and define multi-year technical strategies in collaboration with director-level leadership.This role requires high-level ownership and the ability to drive change within a team of 40+ ML engineers. The ideal candidate will lead business-critical AI/ML initiatives and be responsible for architecting scalable platforms and systems while mentoring teams and influencing company-wide technical direction.Key ResponsibilitiesSet and drive long-term technical strategy across multiple teams, ensuring high-impact business outcomes.Exhibit strong technical judgment and execution to solve complex, ambiguous challenges.Influence roadmaps across engineering teams, making company-wide trade-offs for optimal solutions.Mentor and coach engineers, fostering technical excellence and leadership across the team.Own end-to-end architecture design decisions, ensuring scalability, maintainability, and long-term sustainability.Balance technical vision with business priorities, driving innovation while delivering value to customers.Champion a collaborative, inclusive culture that promotes psychological safety, growth, and mentorship.Ideal Background & SkillsProven experience leading multi-team AI/ML or platform engineering initiatives.Deep expertise in ML, distributed systems, and cloud-based deployments.Strong architectural design skills, including build vs. buy decisions and technical strategy alignment.Ability to navigate ambiguity, prioritize effectively, and drive execution in complex environments.Track record of delivering impactful, high-scale technical projects in fast-moving environments.If you're interested in this role and would like to discuss further, please apply through the AD to find out more!Staff Machine Learning Engineer

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