Head of Machine Learning, Mimica

• Strong background in applied AI/ML research, development, and deployment
• Significant experience in leading and executing machine learning initiatives, particularly in high-growth and large-scale product companies
• Proven track record in managing and growing ML/Data Scientist teams, including hiring, mentoring, and developing talent
• Deep understanding of ML engineering practices, including MLOps and data engineering
• Expertise in collaborating with Product and Engineering teams to align ML efforts with broader product goals
• Strong communication skills to engage with senior leaders, product teams, and engineers in complex technical discussions
• Strong analytical and troubleshooting skills - methodically decomposing systems to identify bottlenecks, determine root causes and implement effective solutions
• Drive to continually develop your skills, improve team processes and reduce debt
• Fluency in English, with effective communication skills – articulating complex ideas, concepts, and trade-offs clearly and getting buy-in for strategic technical decisions

Desirable

• You will join us as our Head of Machine Learning, and report to our CTO
• You’ll manage 9 Machine Learning Engineers, including 3 Team Leaders
• You’ll have a mix of People Management and project coordination responsibilities
• You'll understand the strategic direction of the ML team's projects, with the intention to coordinate projects, dependencies, allocate resources, and ensure strategic alignment with business and product goals
• You'll contribute to the architecture and development of our systems by empowering the team through 1:1s, code reviews, and discussions to facilitate the delivery of impactful features
• Your leadership will foster a culture of growth, efficiency, and technical excellence, driving the execution of key ML initiatives that support the company’s broader vision
• Lead and nurture a growing team of machine learning engineers, supporting their career development through coaching and mentorship
• Leading team OKR discussions, coordinating projects and facilitating team meetings, planning and retros
• Collaborate with the CTO, Platform and Product Managers to align team priorities with company OKRs
• Collaborate with the People team on recruiting and onboarding talent that matches our values and technical excellence
• Act as a sounding board for the team, empowering the team, and support identifying and resolving bottlenecks and efficiency blockers, enabling the team to iterate faster
• Drive the development and deployment of ML systems, optimising tools and infrastructure for efficiency, while ensuring timeline and goals are met
• Promoting a culture of collaboration and continuous learning, and mentoring team members in their development