Machine Learning Engineer
LondonOn-siteFull-time
AI Summary
A Machine Learning Engineer designs, builds, and deploys scalable ML models and data systems for hospitality demand forecasting and real-time decision-making in mobile and operational apps.
About this role
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
Key Responsibilities
- 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
Skills, Knowledge & Expertise
- 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
Benefits
- 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
Skills
AirflowAWSCI/CDComputer VisionDatabase DesignData ModelingData Quality ManagementData VersioningDemand ForecastingLambdaMachine LearningMathematicsPythonPyTorchSagemakerSparkSQLStatisticsTerraform
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