The Machine Learning Engineer will develop and maintain scalable models, design data architecture, and collaborate with stakeholders to optimize AI solutions in hospitality.
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.
We are an office-first, collaborative team and this role is based in Camden 4 days a week
What you will be doing:
- Building and maintaining scalable machine learning models to support data integration into our customer-facing mobile and web-apps as well as internal dashboards
- Designing and implementing data architecture to optimize data storage, retrieval, and processing
- Developing AI models to understand, predict and deploy labour in accordance to demand and to monitor and improve quality of service in hospitality
- Developing ETL processes to ingest, transform, and load data from various sources, specifically APIs
- Collaborating with data scientists, data engineers and software engineers to understand data needs for our customer-facing mobile and web-apps
- Working with internal stakeholders (e.g., Head of Ops, Head of Commercial) to understand and shape data requirements for internal data-driven decision making
- Creating and maintaining data documentation, monitoring pipeline performance, and troubleshooting issues
This position might suit you, if you have:
- Strong foundations in mathematics, statistics, and modelling, with a keen ability to interpret data patterns and derive relevant insights
- Proven hands-on experience in developing production-grade machine learning products, preferably in one or more of the following areas: demand prediction, computer vision or optimisations
- Strong experience with ML Ops, data architecture, data engineering best practices, and scalable data solutions
- Proficiency in data modeling techniques, database design, and data normalization
- Solid experience with Python and SQL, ideally with experience using data processing frameworks (e.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
What we can offer you:
- 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!
- Free office fruit and snacks
- Office dinner if working late
- Regular office breakfasts and lunches
About
Stint solves one of hospitality’s hardest problems, staying perfectly staffed when demand changes by the hour. We do this by pairing smart AI driven software with our flexible, on-demand workforce that’s ready to step in exactly when needed.Over the last six years, we’ve focused on building our workforce of hyper-local students and other flexible workers, who are available for 2-3hr shifts exactly when our partners need them most. We have built trust within the hospitality industry, earning the confidence of major brands by proving the value of our workforce model. Now we work with some of the UK’s best-known hospitality names - including PizzaExpress, Gail’s and Pret across 4,000+ sites across 28 cities in the UK - and they all love our product. Over the last 12 months, we’ve used this foundation to build something even more powerful: the brain behind a business’s rota planning process. By applying AI to multi-year, proprietary and public data sources, we help businesses forecast demand, generate headcount suggestions, and build the optimal rotas automatically. When combined with our flexible workforce, our intelligent platform lets hospitality businesses run lean core teams and scale up during peak hours without overstaffing or compromising on service. What started as a smart way to fill shifts, has now become an end-to-end staffing engine that’s incredibly hard to replicate and uniquely built for the hospitality industry.We’re looking for people to join our 50 person team who care about solving real problems with tech, are excited to grow with us, and want to build something pretty cool, very quickly. We work hard, have fun doing it, and don’t take ourselves too seriously.We look forward to working with you!
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