Machine Learning Engineer

At Stint, our machine learning engineers sit at the centre of how intelligence reaches the real world. You’ll work shoulder-to-shoulder with data scientists, researchers, and engineers to build models, architect data systems, and power decisions across thousands of hospitality sites. One day you might be building a demand forecasting model; the next you’re shaping data pipelines, deploying models into production, or tuning performance in a high-traffic environment.

Your work will drive real-time decisions inside mobile apps, operational systems, and the tooling used by some of the UK’s biggest hospitality brands. You’ll help turn complex, messy, multi-source data into the intelligence behind our platform, and play a key role in scaling our AI systems as we expand across the UK and internationally.

Requirements

g. Airflow, Pytorch, Spark) Understanding of machine learning techniques, including supervised and unsupervised learning, with the ability to select and apply the right models to business problems Familiarity with the AWS cloud platform, particularly with AI/ML services such as SageMaker, Lambda, and related data processing tools Willing to develop basic to intermediate proficiency in backend development (Python with Django, Go) to support deployment and integration of ML models into the product ecosystem Familiarity with data versioning and data quality management practices Familiarity with build and deployment automation and CI/CD Ideally: Experience with data lakes, warehousing, and other data storage patterns Proficiency with cloud platforms such as AWS or Azure, with experience using data services such as Apache Airflow, terraform or SageMaker Private medical insurance A social, friendly and welcoming team based in the heart of Camden Office gym membership Ownership shares in a well-funded, growing start-up Dog friendly office!