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Exciting opportunity to lead and innovate in ML Ops at Marshmallow, a progressive and inclusive fintech company.
Overview
Salary
No salary declared 😔
Location
London, UK - Hybrid
Nomad Friendly?
Expires
Expires at anytime
Marshmallow is an ambitious fintech company, constantly innovating financial products to ease the lives of people moving across borders. Beginning with a focus on car insurance, we are now broadening our product range.
Role Summary:
- As a Lead ML Ops Engineer, you will work as part of the central Data Science & AI team, where you will lead the ML Ops function.
- Your role will involve collaboration with different teams such as pricing, central data scientists and platform engineers.
- You will be responsible for the development of a multi-year ML Ops roadmap and overseeing the company-wide MLOps strategy.
Role Requirements:
- Professional experience in managing ML platforms in regulated industries.
- Proven skills in team building and developing high-performing engineering teams.
- Hands-on experience with AWS ecosystem, especially SageMaker and strong Python coding skills. Ability to work with Java backend teams is also essential.
Application Process:
- We offer a comprehensive set of benefits including a competitive bonus scheme, flexible benefits budget, sabbatical leave, remote working, mental wellbeing support, and various learning and development opportunities.
Marshmallow fosters a culture of inclusivity, encouraging applications from all qualified individuals without any bias or prejudice.
Marshmallow is a company that builds financial products to accelerate the economic freedom for people who move across borders. We started with car insurance and are now expanding beyond. We are proud of our culture of progress, openness, and risk-taking. We encourage ownership and boldness in challenging how we do things. We work in tribes; Acquisition, Retention & Claims, to ensure alignment across functions.
As a Lead ML Ops Engineer, you will be part of our central Data Science & AI team. You will lead the ML Ops function within the team, reporting to the Director of Data Science & AI. Your role will involve partnering with pricing and central data scientists, platform engineers, and external vendors to ensure our models ship quickly, safely, and at scale.
Your responsibilities will include crafting and owning a multi-year ML Ops roadmap, scanning the horizon for emerging ML and GenAI technologies, setting and iterating the company-wide MLOps & LLMOps strategy, and hiring, coaching, and inspiring a high-performing ML Ops Engineering team.
We are looking for someone with experience in end-to-end ownership of ML platforms servicing real-time, customer-facing products in regulated industries. You should have a proven track record in hiring, developing, and retaining high-performing engineering teams, and have production experience with the AWS ecosystem, especially SageMaker for training and hosting. Strong Python skills and the ability to work and integrate with Java backend teams are also required.
Benefits of working with us include a competitive bonus scheme, flexible benefits budget, sabbatical leave, work from anywhere policy, mental wellbeing support, learning and development opportunities, private health care, medical cash plan, tech scheme, and more.
Marshmallow is committed to hiring without judgement, prejudice, or bias, and we encourage everyone to apply for our open roles. We are working hard to build an inclusive culture that empowers our people to do their best work, have fun, and feel that they belong.
