Head of Machine Learning (Remote - UK/Europe/Americas)

What we are building Mimica’s mission is to empower enterprises, teams, and individuals to reclaim their most precious resource — time and work more efficiently, with greater purpose and impact. Our AI-powered task mining observes employee actions across the desktop and categorizes them into detailed process maps. Mimica’s process intelligence highlights inefficiencies, prioritizes improvements based on ROI, recommends the optimal technology for automation (RPA, intelligent document processing, GenAI), and provides a blueprint for building new automations and transforming work. Visit our career page to learn more. Where we are in our scale-up journey We’ve achieved a solid product-market fit and are now scaling with intention. You’ll join a 45-person team of Senior+ engineers and Product leaders who prioritize product impact over sheer headcount. We have 8 cross‑functional teams, including a dedicated Platform team focused on infra & developer experience. We started building proprietary ML before the LLM boom, so we train models from the ground up. Our approach to engineering We prioritize customer needs first We work in small, project-based teams We have flexibility in terms of the problems we work on We own the full lifecycle of our projects We avoid silos and encourage taking up tasks in new areas We balance quality and velocity We have a shared responsibility for our production code We each set our own routine to maximize our productivity Your mission You will join us as our Head of Machine Learning, and report to our CTO. You’ll manage a Chapter of 10 Machine Learning Engineers, including 3 Team Leaders and expand the team. You’ll have a mix of People Management and project coordination responsibilities. You’ll understand the strategic direction of the ML team’s projects, coordinate projects, 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. Part of your day-to-day Lead and nurture a growing team of machine learning engineers, supporting their career development through coaching and mentorship. Lead team OKR discussions, coordinate projects and facilitate 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, support identifying and resolving bottlenecks and efficiency blockers, enabling the team to iterate faster. Drive the development and deployment of ML systems, optimise tools and infrastructure for efficiency, while ensuring timeline and goals are met. Promote a culture of collaboration and continuous learning, and mentor team members in their development. Requirements 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 Engineers/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 securing buy‑in for strategic technical decisions. Bonus Background in successful startups/scale‑ups, driving iterative development and rapid delivery. Experience working in a distributed systems environment. Experience with general software design and data protection mechanisms. Recruitment Stages Stage 1 | Recruiter Screen with Technical Recruiter Stage 2 | System/Model Design – Live Interview with the ML team Stage 3 | Product/System Presentation – with CTO & Co‑Founder and the team Stage 4 | Founders/Behavioural Interview – with CTO & Co‑Founder and TL Location This is a fully remote position. To ensure effective collaboration with our team, we are only considering candidates in the following regions: Europe & Africa: Locations with a timezone compatible with London (typically UTC-1 to UTC+3). The Americas: Locations in the Eastern Time Zone (e.g., US East Coast, Toronto) or UTC-3 (e.g., Brazil, Argentina). What we offer Generous compensation and stock options, aligned with our internal framework, market data, and individual skills. Distributed work: Work from anywhere – fully remote, in our hubs, or a mix. Company‑issued laptop, remote setup stipend, and co‑working budget. Flexible schedules and location. Ample paid time off, in addition to local public holidays. Enhanced parental leave. Health and retirement benefits. Annual learning and development budget. Annual workaways and regular virtual and in‑person socials. Opportunity to contribute to groundbreaking projects that shape the future of work. Note : Some benefits may vary depending on location and role. Mimica will only contact candidates from an @mimica.ai email address. We do not request banking or sensitive personal information during the recruiting process. #J-18808-Ljbffr Mimica