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