At a Glance
- Tasks: Design and maintain cloud systems for rapid product growth and operational excellence.
- Company: Join Model ML, a fast-growing AI platform transforming financial workflows.
- Benefits: Competitive salary, equity, and a supportive, innovative work environment.
- Other info: Work directly with founders and enjoy a dynamic, challenging atmosphere.
- Why this job: Be part of a revolutionary mission and make your mark in the tech world.
- Qualifications: 4-7 years experience in cloud infrastructure and DevOps practices.
The predicted salary is between 60000 - 80000 ÂŁ per year.
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.
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.
Platform Engineer London employer: Model ML
Contact Detail:
Model ML Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Platform Engineer London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects and contributions. This gives potential employers a taste of what you can do, especially in tech roles like Platform Engineer.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to cloud infrastructure and DevOps. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our mission.
We think you need these skills to ace Platform Engineer London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Platform Engineer role. Highlight your experience with cloud infrastructure, CI/CD pipelines, and any relevant projects that showcase your skills in Azure, Terraform, or Kubernetes.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about this role and how your background aligns with our mission at Model ML. Share specific examples of how you've tackled challenges in previous roles, especially in high-growth environments.
Showcase Your Technical Skills: Don’t just list your technical skills; demonstrate them! Include links to projects or repositories where you’ve implemented logging, metrics, or security measures. This gives us a clear picture of your hands-on experience.
Apply Through Our Website: We encourage you to apply directly through our website. It streamlines the process for both you and us, ensuring your application gets the attention it deserves. Plus, it’s the best way to stay updated on your application status!
How to prepare for a job interview at Model ML
✨Know Your Tech Stack
Make sure you’re well-versed in the technical stack mentioned in the job description, especially Azure, Terraform, and Kubernetes. Brush up on your knowledge of CI/CD pipelines and how they can streamline development processes. Being able to discuss specific projects where you've used these technologies will really impress.
✨Demonstrate Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in previous roles, particularly around infrastructure reliability and cost efficiency. Think about times when you had to pivot quickly due to changing priorities and how you managed that. This shows you can thrive in a fast-paced environment.
✨Understand Compliance Standards
Familiarise yourself with SOC 2 and ISO 27001 compliance processes. Be ready to discuss how you've prepared systems for audits in the past and what best practices you follow to ensure security and compliance. This will show that you understand the importance of these standards in a growing company.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's culture, the team you'll be working with, and their approach to operational excellence. This not only demonstrates your interest in the role but also helps you gauge if the company is the right fit for you. Remember, interviews are a two-way street!