Staff Machine Learning Engineer Paying up to £180,000 10% bonus £25,000 RSUs. Remote first – commutable distance to London for occasional visits. Leading sports tech company I 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 Responsibilities Set 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 & Skills Proven 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