Model ML

Platform Engineer London Company Overview 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, bringing total funding to $90 million. Job Description We are seeking an experienced Platform Engineer to lead the design, implementation, and maintenance of our cloud systems as we scale. This role is ideal for someone who thrives on building robust, secure, and cost efficient infrastructure that empowers engineering teams to deliver quickly without sacrificing reliability or compliance. You will be the driving force behind our DevOps, observability, and compliance readiness, ensuring our systems are audit ready, highly available, and optimized for both performance and cost. Key Responsibilities Architect, implement, and maintain cloud infrastructure to support rapid product growth. Prepare infrastructure for SOC 2 / ISO 27001 audits, aligning with customer expectations. Build and maintain CI/CD pipelines for backend, frontend, and data services to enable rapid, reliable releases. Drive product wide systems for logging, metrics, tracing, alerting and on call processes. Monitor and control cloud costs, identifying opportunities for optimization without sacrificing performance. Act as the internal advocate for operational excellence. What you can expect It won't be easy; in fact, it will be very hard. BUT, it will be a lot of fun. You need to be comfortable in being uncomfortable; timelines will change, priorities will most likely shift. Be prepared to sacrifice your work life balance in exchange for joining an incredible journey and learning a lot along the way. Requirements Technical stack: Azure (also AWS is a plus), Terraform, AKS (Kubernetes), Docker, GitHub Actions. Observability: Experience implementing logging, metrics, and tracing frameworks. Security: Familiarity with best practices, secrets management, and security scanning tools. Networking: Solid understanding of VPCs, private networking, DNS, load balancers, VPNs, and firewalls. Databases & Storage: Experience with provisioning, scaling, and managing production grade databases (PostgreSQL, MySQL, NoSQL) and blob storage. Scripting & Automation: Strong skills in Python or Bash for automation and tooling. Experience 4-7 years of relevant experience, ideally including startup or high growth/high load environments. Proven track record of owning infrastructure end to end - from architecture through production support. Experience implementing reliability, security, and compliance measures ahead of scale up or audit readiness. History of driving cost efficiency while enabling growth. Exposure to SOC 2, ISO 27001, or GDPR compliance processes. What We Offer You will be reporting directly to the founders, who have two successful venture backed exits under their belt. Competitive salary + equity. Supportive and innovative work environment. We're building a team of like minded, incredibly smart, tenacious individuals with relentless work ethic and focus, all driving towards a clear revolutionary mission. If you match this description, buy into that mission and you're at a career stage where you're ready to make your defining statement to the world, please apply. 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 call with Roman. Call 2: 30 minute call with Arnie. Apply now.