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ML Ops Manager

Marshmallow

London

On-site

GBP 70,000 - 120,000

Full time

5 days ago
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Job summary

A leading company in fintech is seeking an ML Ops Manager to spearhead their machine learning operations. You will lead a team, working cross-functionally to ensure reliable deployment of models that impact customer experiences. Join a culture that encourages innovation and ownership within a collaborative environment.

Responsibilities

  • Lead the ML Ops function, managing two ML Ops Engineers.
  • Collaborate with pricing teams and platform engineers.
  • Ensure efficient and safe model deployment.

Job description

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ML Ops Manager

About Marshmallow

We build financial products that accelerate economic freedom for people who move across borders. Starting with car insurance—insuring over a million drivers—we are scaling beyond. Tens of millions of people move countries each year, facing overlooked financial challenges. Our goal is to develop financial products tailored to their needs to positively impact their lives.

How we work

We are proud of our culture. We push for progress daily, believing that big milestones are achieved through small steps. We foster a collaborative environment where sharing ideas, experiences, and knowledge is encouraged. We embrace risk, think creatively, and experiment relentlessly to meet customer needs, while taking responsibility and avoiding blame when things go wrong. We empower team members at all levels to take ownership and challenge existing processes. Everyone has a voice and can make an impact.

Autonomy and ownership are supported by clear direction. We conduct in-depth planning twice a year to set goals and objectives aligned across teams. Our work is organized into three tribes—Acquisition, Retention, & Claims—with multiple cross-functional teams within each.

If you find this environment appealing, explore our Culture Handbook to learn more.

The Data Science Team

Our central Data Science & AI team manages the entire lifecycle of models—from experimentation to deployment. As an insurer-fintech serving hundreds of thousands of customers, reliability and speed are vital. Our models are used for pricing, fraud detection, and powering next-gen GenAI experiences in real time.

You will lead the ML Ops function, managing two ML Ops Engineers and reporting to the Director of Data Science & AI. Your role involves collaborating with pricing teams, data scientists, platform engineers, and external vendors to ensure models are developed and deployed efficiently, safely, and at scale.

What you'll be doing

  • Crafting and owning a multi-year ML Ops roadmap that unlocks
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