At a Glance
- Tasks: Design and maintain cloud systems to support rapid product growth and ensure 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 who have successful venture-backed exits.
- Why this job: Be part of an exciting journey, learning and growing in a dynamic startup atmosphere.
- Qualifications: 4-7 years experience in cloud infrastructure, DevOps, and compliance readiness.
The predicted salary is between 60000 - 84000 £ 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: 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.
Platform Engineer employer: Model ML
Model ML is an exceptional employer, offering a unique opportunity to work at the forefront of AI innovation in the heart of London. With direct access to experienced founders and a culture that prioritises high trust and impact, employees can expect to grow rapidly while shaping the future of enterprise AI marketing. The competitive salary, meaningful equity, and performance-based incentives further enhance the appeal of joining a team dedicated to building something iconic.
StudySmarter Expert Advice🤫
We think this is how you could land Platform Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Model ML on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your application noticed.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with relevant projects, make sure to highlight them during interviews. It’s a great way to demonstrate your hands-on experience with the tech stack they’re using.
✨Tip Number 3
Prepare for the unexpected! Since the role requires adaptability, be ready to discuss how you've handled shifting priorities in past jobs. Share specific examples that showcase your problem-solving skills.
✨Tip Number 4
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 being part of the Model ML journey.
We think you need these skills to ace Platform Engineer
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, DevOps practices, and any relevant projects that showcase your skills in Azure, Terraform, or Kubernetes.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about building robust systems and how your background aligns with our mission at Model ML. Don’t forget to mention your experience with compliance and cost optimisation!
Showcase Your Technical Skills:In your application, be sure to highlight your technical skills clearly. Mention specific tools and technologies you’ve worked with, like Docker, GitHub Actions, and any databases you've managed. We want to see what you can bring to the table!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Model ML
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Azure, Terraform, and Kubernetes. Brush up on your knowledge of CI/CD pipelines and observability tools, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially around infrastructure management and compliance readiness. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving abilities.
✨Understand the Company Culture
Model ML is looking for someone who thrives in a fast-paced environment. Be ready to talk about how you handle changing priorities and tight deadlines. Share examples that demonstrate your adaptability and willingness to learn in challenging situations.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s future plans, team dynamics, and how they approach operational excellence. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
