Senior Machine Learning Engineer - Aviation

About the role

An experienced Senior Machine Learning Engineer is sought to contribute to large-scale machine learning and AI projects in the aviation industry. The role focuses on building ML solutions for business use cases such as customer segmentation, recommendation systems, revenue forecasting and demand prediction, using the company's existing technology and data infrastructure.

Key responsibilities

• Design, develop and optimise machine learning models to solve complex business challenges
• Build ML solutions for customer segmentation, recommendation systems and forecasting
• Process large datasets with Apache Spark and PySpark, pulling data from cloud storage and relational databases
• Perform feature engineering, model training, validation, evaluation and hyperparameter tuning
• Write clean, scalable, production-ready code and support model monitoring and automated retraining
• Evaluate and continuously improve model performance
• Work with Data Engineering and Platform teams to deploy solutions in the existing OpenShift environment (no new platform design)

Required profile

• Strong hands-on experience in Python and traditional machine learning
• Practical experience in customer segmentation, recommendation systems or forecasting
• Experience developing production-ready ML models and code
• Ability to build code for model monitoring and automated retraining pipelines
• Strong analytical thinking and problem-solving skills

Required skills

• Scikit-learn, XGBoost and LightGBM
• Apache Spark / PySpark
• Supervised and unsupervised learning (classification, regression, clustering)
• SQL and relational databases (e.g. Teradata, Oracle)
• Nice to have: Spark MLlib, OpenShift, S3, Apache Iceberg, Feature Store, MLOps and large-scale production ML experience