Engineering Manager - ML/AI Research at Mimica
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

30 Apr, 25

Salary

0.0

Posted On

31 Jan, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Technical Discussions, Hiring, Data Engineering, Scalability, Ux, Engineers, English, Mentoring, High Growth, Communication Skills

Industry

Information Technology/IT

Description

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.

REQUIREMENTS

  • Significant experience in leading and executing machine learning initiatives, particularly in high-growth and large-scale production environments.
  • Proven track record in managing and growing cross-functional teams, including hiring, mentoring, and developing ML/AI talent.
  • Strong background in applied AI/ML research, development, and deployment - particularly in embeddings or transformer models.
  • Deep understanding of good ML engineering practices, including MLOps, data engineering, and scalability.
  • Expertise in collaborating with Product and Engineering teams to align ML efforts with broader product goals and UX.
  • 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.
Responsibilities

Please refer the Job description for details

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