Engineering Manager - ML (UK) at Mimica
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

23 Apr, 25

Salary

0.0

Posted On

23 Jan, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

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

Industry

Information Technology/IT

Description

WHAT WE ARE BUILDING

Mimica’s mission is to accelerate the discovery and deployment of automation with AI.
Our first product, Mapper, learns patterns from employee clicks and keystrokes, identifies key steps, decisions and repetition and generates “blueprints” for automation. At the core of our ML pipeline is a technology translating noisy low-level computer actions into a clean, human-readable representation. Alongside creating process maps for automation, we’ve launched a companion tool, Miner, which helps enterprises identify and prioritize automation opportunities.

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 ML engineering practices, including MLOps, data engineering, and GenAI.
  • 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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