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A rapidly growing AI startup in the UK is looking for an Applied AI Engineer to enhance their intelligence layer. The role involves developing production AI systems, deploying ML models, and optimizing MLOps pipelines. Candidates should have strong Python and SQL skills, hands-on ML experience, and familiarity with cloud platforms like Azure or AWS. This position offers significant responsibility, equity options, and the chance to work closely with the founding team in a high-trust culture.
📍 London / Hybrid / Remote (UK & EU)
Adema AI is one of the fastest-growing AI startups in the UK, with a rapidly expanding and active user base across development, planning, investment, and advisory.
We are building a deep, AI-native intelligence platform for the built environment — combining LLMs, graph-based machine learning, spatial analytics, and planning data to power real-world decision-making.
What you see live today is only part of the picture.
Alongside the existing platform, we are building multiple advanced intelligence tools, including recommendation engines, spatial reasoning systems, planning-risk analysis, and decision automation — while refining and outperforming existing market tools, not replicating them.
👉 Platform overview: https://adema.ai/
We’re hiring an Applied AI Engineer to help scale Adema’s intelligence layer as adoption accelerates.
This is a core technical role. You’ll be working on production AI systems already in use, while helping design and deploy the next generation of models, pipelines, and services that will define the platform.
You’ll directly with the founding and AI leadership team and have real influence over architecture, tooling, and technical direction.
This is not a research-only role — everything you build is designed to ship and scale.
You’ll thrive here if we: