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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # ML/AI Platform Engineer - **Company:** Monzo - **Location:** London, UK (Remote available) - **Salary:** £85,000.0 - £110,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, DevOps, Distributed Systems, Python (Programming Language), Machine Learning, Software Product Management, Google Cloud, Feature Engineering, Large Language Models, Concurrency, Core Api, Backend, AI Platforms, Kubernetes, Machine Learning Operations, Terraform - **Published:** June 23, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=778337c89872c708 ## About the Role Do you have experience in Terraform?, Do you have a Master's degree?, * 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) ## Description Our main tech hub is in London, but our engineers live everywhere in the UK- from Brighton to the Western Isles. We value meeting in person but there's no pressure to come into the office, even if you're nearby. We believe you'll do your best work if you are where you want to be. If you live outside of London and we ask you to come into the office, Monzo will support you with the costs. Our offices are naturally social, especially Tuesdays, Wednesdays and Thursdays, which happen to line up with our twice-weekly Monzo lunches & treat Thursdays ️. Teams also schedule time together often for work and play - in or around the office, or online. Set up a work schedule that delivers impact and fits your life: At Monzo, we value connections, flexibility, and wellbeing. We keep our meetings during core hours to stay connected and believe in maintaining work/life balance. You'll be empowered to manage your work in a way that suits you and your team, giving you the freedom for children drop-offs and pick-ups, walking your dog or adventurous cat, avoiding peak commuting times or gym slots, appointments, or supporting your family in an emergency If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance. What you'll be working with: We use a mix of backend, ML and infrastructure technologies. Please note direct experience with all of them is helpful but not required and our interview process can be completed in any language. * 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're on the look out for L40 Engineers at the moment, but we also welcome L30 candidates. You can read more in our Engineering Progression Framework - we will interview you across the entire framework, 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: * Initial Call * 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. What's in it for you: £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. ## Related Videos - [Insights from building the Canva Developers Platform to empower 185 million designers](https://www.wearedevelopers.com/videos/942-insights-from-building-the-canva-developers-platform-to-empower-185-million-designers) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)