Monzo - ML/AI Platform Engineer
Requirements
• Go for backend services, platform APIs and production systems • Python for libraries, workflows and tooling used by ML engineers and scientists • ML and AI platform systems such as model serving, evaluation, feature engineering, experiment workflows and LLM infrastructure • Kubernetes, AWS, GCP, Terraform and Envoy Proxy to run reliable systems in production • 🤩We’d love to hear from you if... • You combine solid backend engineering with real ML or AI platform experience (ML pipelines, feature stores, model serving, experiment tracking or LLM tooling) • You’ve designed and operated distributed systems that handle scale, concurrency and failure • You think like a platform engineer, focused on developer experience and removing friction for internal teams • You’re happy working across both Go and Python • You’ve worked with AWS or GCP, and with Kubernetes • You enjoy ambiguity and want to shape a platform as it grows • You have some experience with strongly typed languages, writing and working on backend software • You’re curious about how systems behave in production, including reliability, latency, quality, safety and operational risk • 🤔This might NOT be the right fit if... • Your background is predominantly DevOps, SRE or infrastructure operations • You’re focused on data science or modelling • You’ve shipped AI product features but haven’t worked on the platform side (serving, evaluation, model lifecycle) • We're on the look out for L40 Engineers at the moment, you can read more in our Engineering Progression Framework - we will interview you across the whole frame work, so if you are not sure what level you are aiming for please chat to your recruiters! • The Interview Process: • Our interview process involves three main stages: • Take home task or pair coding exercise • Final interview: including a system design and a behavioural interview • Our average process takes around 4 weeks but we will always work around your availability. • One of our engineers has written a detailed blog on their experience through this process, for extra details, hints and tips please see here.
Benefits
• 💰 £85,000 - £110,000 + Incentive Awards tied to your performance • ✈️We can help you relocate to the UK • ✅We can sponsor visas. • 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). • ⏰We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. • 📚Learning budget of £1,000 a year for books, training courses and conferences • ➕And much more, see our full list of benefits here • #LI-NB2 #LI-Remote • Equal opportunities for everyone • Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report.
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