Urgent: Staff Machine Learning Engineer

Staff Machine Learning Engineer - Paying up to£180,000 + 10% bonus + £25,000 RSUs. - Remote first – commutabledistance to London for occasional visits. - Leading sports techcompany I am currently working with an established business withinthe SportsTech industry who are going through the next generationor cutting-edge ML transformation and need an experienced StaffMachine Learning Engineer to lead transformational AI/ML projectsand define multi-year technical strategies in collaboration withdirector-level leadership. This role requires high-level ownershipand the ability to drive change within a team of 40+ ML engineers.The ideal candidate will lead business-critical AI/ML initiativesand be responsible for architecting scalable platforms and systemswhile mentoring teams and influencing company-wide technicaldirection. Key Responsibilities - Set and drive long-term technicalstrategy across multiple teams, ensuring high-impact businessoutcomes. - Exhibit strong technical judgment and execution tosolve complex, ambiguous challenges. - Influence roadmaps acrossengineering teams, making company-wide trade-offs for optimalsolutions. - Mentor and coach engineers, fostering technicalexcellence and leadership across the team. - Own end-to-endarchitecture design decisions, ensuring scalability,maintainability, and long-term sustainability. - Balance technicalvision with business priorities, driving innovation whiledelivering value to customers. - Champion a collaborative,inclusive culture that promotes psychological safety, growth, andmentorship. Ideal Background & Skills - Proven experienceleading multi-team AI/ML or platform engineering initiatives. -Deep expertise in ML, distributed systems, and cloud-baseddeployments. - Strong architectural design skills, including buildvs. buy decisions and technical strategy alignment. - Ability tonavigate ambiguity, prioritize effectively, and drive execution incomplex environments. - Track record of delivering impactful,high-scale technical projects in fast-moving environments. Ifyou’re interested in this role and would like to discuss further,please apply through the AD to find out more! Staff MachineLearning Engineer #J-18808-Ljbffr