Operations (London)

Model ML Inc.

Greater London

On-site

GBP 35,000 - 55,000

Full time

11 days ago

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Job summary

Model ML is seeking a proactive Strategy & Operations professional to manage the London office and keep operations running smoothly. You’ll handle a mix of hiring, data, marketing operations, vendor management, and executive support, with real deadlines and ownership of meaningful work.

You will own end-to-end projects once you've earned them, collaborate across international markets, and help the CEO's office stay aligned with company goals.

Qualifications

  • Must be comfortable in being uncomfortable; timelines will change, priorities will most likely shift.
  • Ability to work independently
  • Be prepared for an exciting, fast-paced journey where you’ll learn a lot, take on meaningful challenges, and grow along the way.
  • Must be based in the London office everyday

Responsibilities

  • Run the London office day to day
  • Execute a wide range of business and personal tasks independently
  • Support hiring operations across multiple international markets: scheduling, candidate tracking, recruiter coordination
  • Keep our data and reporting cadences on time: daily updates, dashboards, trackers
  • Support marketing operations: campaigns, content logistics, events
  • Support the operations team across everything from recruitment to finance
  • Own small projects end to end once you've earned them

Skills

Independent worker
Data reporting
Recruitment coordination
Marketing operations

Job description

About Model ML

Model ML is the AI workflow builder transforming how major financial institutions produce and validate client-ready work. Model ML converts complex, manual processes into fully automated AI systems that scale across global teams. In under a year, Model ML has become one of the fastest growing enterprise AI platforms worldwide and recently closed a $75 million Series A, one of the largest fintech Series A rounds ever. The round was backed by FT Partners, Y Combinator, LocalGlobe, QED, 13books, and other top global investors.

About Model ML

Model ML is the AI workflow builder transforming how major financial institutions produce and validate client-ready work. Model ML converts complex, manual processes into fully automated AI systems that scale across global teams. In under a year, Model ML has become one of the fastest growing enterprise AI platforms worldwide and recently closed a $75 million Series A, one of the largest fintech Series A rounds ever. The round was backed by FT Partners, Y Combinator, LocalGlobe, QED, 13books, and other top global investors.

The Role

You’ll sit inside the Strategy & Operations team. This team runs the systems that keep the company moving: hiring, data, marketing operations, vendor management, and the CEO’s office. You’ll touch all of it. This is not a coffee-and-calendars job. You’ll be given real work with real deadlines, and once you’ve shown you can run things, you’ll own them.

Key Responsibilities
  • Run the London office day to day
  • Execute a wide range of business and personal tasks independently
  • Support hiring operations across multiple international markets: scheduling, candidate tracking, recruiter coordination
  • Keep our data and reporting cadences on time: daily updates, dashboards, trackers
  • Support marketing operations: campaigns, content logistics, events
  • Support the operations team across everything from recruitment to finance
  • Own small projects end to end once you've earned them
Requirements
  • Must be comfortable in being uncomfortable; timelines will change, priorities will most likely shift
  • Ability to work independently
  • Be prepared for an exciting, fast-paced journey where you’ll learn a lot, take on meaningful challenges, and grow along the way.
  • Must be based in the London office everyday
What We Offer

Benefits will be discussed during the hiring process.

About The Interview

Our Process: We’re very conscious of everyone’s time, so we want to make the process as efficient as possible.

  • Call 1: 30-minute intro call with a Product & Growth team member
  • Call 2: 30-minute call with Nat (CoS)
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