As a Platform Engineer at Model ML, you will architect and scale the cloud infrastructure powering a leading enterprise AI platform. You'll own the transition to automated AI systems for major financial institutions, driving operational excellence through Kubernetes, Terraform, and Azure while ensuring the highest standards of security and compliance readiness.
Platform Engineer at Model ML
Working directly with repeat-exit founders in London, you will scale Azure-based systems and build the architectural foundations for one of the fastest-growing enterprise AI platforms globally. If you are a DevOps expert with 4-7 years of experience who thrives in high-intensity environments and wants to build something truly generational alongside a world-class team, this is the high-ownership opportunity you've been waiting for.
About this role
Role overview
About the company
Model ML offers an AI-powered workspace built specifically for the financial services industry, including private equity firms, investment banks, and corporate development teams. The platform automates complex and repetitive financial research tasks such as analyzing deal documents, extracting comparable transaction data, market mapping, commercial due diligence, and generating tailored insights. By integrating with sources like PitchBook and Crunchbase, and leveraging advanced AI for data extraction and analysis, Model ML enables finance professionals to conduct faster and more precise due diligence, benchmarking, and market intelligence. The platform emphasizes auditability and compliance, allowing users to control data provenance and source selection. Founded in 2023, Model ML operates from San Francisco and London, serving clients across the financial sector.
Backed by FT Partners, Y Combinator, QED Investors, 13Books Capital, Latitude, LocalGlobe.
What you'll do
What you will do
- Architect and maintain cloud infrastructure using Azure (AKS), Terraform, and Docker to support rapid product growth and global scaling.
- Build and optimize robust CI/CD pipelines for backend, frontend, and data services using GitHub Actions to enable high-velocity, reliable releases.
- Drive product-wide observability systems for logging, metrics, and tracing, while preparing infrastructure for SOC 2 and ISO 27001 audit readiness.
Who you are
Who this is a fit for
- Has 4-7 years of platform or DevOps experience, ideally within a high-growth startup environment or handling high-load production systems.
- Possesses deep technical expertise in Azure, Terraform, Kubernetes (AKS), and scripting languages like Python or Bash for automation.
- Demonstrates a proven track record of owning infrastructure end-to-end, including networking, database management (PostgreSQL), and implementing security best practices.
Why this role
Why this role is remarkable
- Join one of the fastest-growing enterprise AI platforms globally, having recently closed a $75M Series A—one of the largest fintech rounds ever.
- Report directly to founders with two successful venture-backed exits, gaining a front-row seat to building a generational AI company from the ground up.
- Take complete ownership of a high-load, production-grade infrastructure, scaling systems ahead of demand for some of the world's largest financial institutions.
Jack & Jill
How Jack & Jill work together
Meet Jack
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
How does this work?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If it’s a match and the company wants to meet you, they’ll make the intro. In the meantime, if you’d like, Jack will send you excellent alternatives.