> Markdown version of [/jobs/ext/2808279-applied-ai-engineer-ai-ml-london-yc-backed-start-up](https://www.wearedevelopers.com/jobs/ext/2808279-applied-ai-engineer-ai-ml-london-yc-backed-start-up). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Applied AI Engineer (AI/ML) - London - YC-backed start-up - **Company:** Stott and May - **Location:** London, UK - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Python (Programming Language), Machine Learning, Build Management, Machine Learning Operations - **Published:** September 9, 2026 - **Apply:** https://www.collegerecruiter.com/job/2854918498-applied-ai-engineer-aiml-london-yc-backed-start-up ## About the Role * 2+ years' experience across Data Science, Machine Learning or AI Engineering * Experience taking ML/AI systems beyond experimentation and into production * Strong Python and practical ML fundamentals * A product mindset and a track record of building solutions around real user problems * Comfortable working across modelling, engineering and deployment * Able to communicate effectively with technical and non-technical stakeholders * Comfortable operating with high ownership in a fast-moving start-up environment ## Description This is an applied, product-focused AI role rather than a research position. You'll take real operational problems and turn them into production AI/ML systems, working across experimentation, modelling, evaluation, deployment and iteration. You'll work closely with engineers, domain experts and users, with significant ownership over what gets built and how it performs in production. What You'll Do * Build and deploy production AI/ML systems solving real customer and operational problems * Develop, evaluate and iterate on models and AI-driven workflows * Turn complex, ambiguous problems into scalable technical solutions * Work closely with users and domain experts to understand problems and shape the product * Own projects from initial experimentation through to production * Help shape AI engineering practices as the team scales ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Edit Your Future: Queerverse Radical AI](https://www.wearedevelopers.com/videos/909-edit-your-future-queerverse-radical-ai) - [Answering the Million Dollar Question: Why did I Break Production?](https://www.wearedevelopers.com/videos/1171-answering-the-million-dollar-question-why-did-i-break-production) - [Moving from Playing with AI to Implementing AI - Lee Stott](https://www.wearedevelopers.com/videos/2136-moving-from-playing-with-ai-to-implementing-ai-lee-stott) - [AI is dead, long live AK](https://www.wearedevelopers.com/videos/1093-ai-is-dead-long-live-ak) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)