Senior ML Ops Engineer at Marshmallow
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

30 Aug, 25

Salary

0.0

Posted On

31 May, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Docker, Kotlin, Production Experience, Vendors, Code, Jenkins, Finance, Aws, Kubernetes, Teamcity

Industry

Information Technology/IT

Description

ABOUT MARSHMALLOW

We build financial products that accelerate the economic freedom for people who move across borders. We started with car insurance — insuring over a million drivers — and we’re scaling beyond. Tens of millions of people move countries each year, facing overlooked financial challenges. Our future is in building financial products around their needs to positively impact their lives.

Responsibilities
  • Designing, building, and continuously enhancing ML Ops pipelines to ensure model iteration cycles of less than 24 hours and over 99.9% production uptime.
  • Managing and improving multiple deployment pipelines using AWS SageMaker (real-time and batch inference), integrated with TeamCity for seamless CI/CD.
  • Collaborating closely with data scientists to containerise experiments, automate feature generation, and efficiently transition models from notebooks to production environments.
  • Developing comprehensive monitoring and observability solutions to proactively detect performance drift, data-quality issues, and model performance anomalies, integrating alerts into our incident-management workflows.
  • Exploring and evaluating emerging GenAI and LLM tools to accelerate the delivery of new use cases.
  • Partnering with platform engineers to embed infrastructure-as-code (Terraform) and security best practices into every release.
  • Enhancing the current MLOps tool stack by introducing new tools to the organisation to advance our overall MLOps maturity.
  • Participating in strategic evaluations around build-versus-buy decisions and vendor integrations, prioritising cost-effectiveness and a superior developer experience.
  • Promoting a “You build it, you run it” culture by informally mentoring peers and setting high technical standards, without formal managerial responsibilities.
  • Contributing to the development and shaping of our MLOps/LLMOps vision and strategic roadmap for the future
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