Head of Machine Learning (Remote - UK/Europe) in London

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.

We have achieved strong product-market fit and are now scaling with intention. You will join a 45-person team of Senior+ engineers and Product leaders who prioritise product impact over mere 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 don’t just consume models - we train them from the ground up.

Your mission is to join us as our Head of Machine Learning, reporting to our CTO. You will manage a Chapter of 10 Machine Learning Engineers, including 3 Team Leaders and expand the team. You will have a mix of People Management and project coordination responsibilities. You will understand the strategic direction of the ML team’s projects, coordinating projects, dependencies, allocating resources, and ensuring strategic alignment with business and product goals. You will 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 includes:

• Leading and nurturing 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.
• Collaborating with the CTO, Platform and Product Managers to align team priorities with company OKRs.
• Collaborating with the People team on recruiting and onboarding talent that matches our values and technical excellence.
• Acting as a sounding board for the team, empowering the team, and supporting identifying and resolving bottlenecks and efficiency blockers, enabling the team to iterate faster.
• Driving 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.

Requirements include:

• 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 getting 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.

What we offer:

• Generous compensation + 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 & retirement benefits.
• Annual learning & development budget.
• Annual workaways and regular virtual & 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.