Applied AI Engineer

Stott And May — United Kingdom · Posted ~4 hours ago

Full-time Visa History ✓

Skills

AI/ML Machine learning Model development Model evaluation AI deployment Production AI systems Production AI AI workflows

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Summary ✨ AI‑Generated

Build production AI and machine-learning systems that solve complex real-world workflows. You will translate ambiguous operational problems into deployable solutions, experiment with models, evaluate performance, iterate on AI-driven workflows, and collaborate closely with engineers, domain experts, and users.

Highlights

Product-focused applied AI role with significant ownership, covering experimentation, modeling, evaluation, deployment, and iteration on production systems solving real operational problems.

Description

Applied AI Engineer (AI/ML) - London - YC-backed start-up We’re working with a fast-growing YC-backed technology company using AI to transform a complex, traditionally manual industry. Already working with major customers and backed by leading investors, they’re growing their engineering team and looking for an Applied AI Engineer to build production AI systems used across critical real-world workflows. The Role 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 problemsDevelop, evaluate and iterate on models and AI-driven workflowsTurn complex, ambiguous problems into scalable technical solutionsWork closely with users and domain experts to understand problems and shape the productOwn projects from initial experimentation through to productionHelp shape AI engineering practices as the team scales Requirements 2+ years' experience across Data Science, Machine Learning or AI EngineeringExperience taking ML/AI systems beyond experimentation and into productionStrong Python and practical ML fundamentalsA product mindset and a track record of building solutions around real user problemsComfortable working across modelling, engineering and deploymentAble to communicate effectively with technical and non-technical stakeholdersComfortable operating with high ownership in a fast-moving start-up environment Benefits Equity participationUK Skilled Worker visa sponsorshipHealth insurancePension contributionsCompany offsites