Senior Machine Learning Engineer

Location: Holborn, London, with occasional travel to Leicester Square

Company

hirify.global operates media and entertainment platforms serving listeners and brands.

What you will do

• Translate experimental machine learning and deep-learning models into reliable, testable production systems.
• Build batch and real-time APIs, serving infrastructure, and consistent feature pipelines.
• Audit and migrate existing production models to modern engineering standards without disrupting live products.
• Define standards for model development, testing, deployment, and alignment with the MLOps platform.
• Create reusable templates and documentation that enable data scientists to work independently.
• Partner with Data Science, MLOps, Data Engineering, and Product on deployable and maintainable ML products.

Requirements

• Commercial production ML experience with high data volumes, including deployment, CI/CD, monitoring, and lifecycle management.
• Strong Python skills and experience with PyTorch or similar machine learning frameworks.
• Ability to evaluate model performance across data, features, and architecture and make reasoned trade-offs.
• Understanding of real-time inference patterns and reproducible environments using Docker, MLflow, or equivalent tools.
• Experience with AWS, SageMaker, Snowflake, Spark or Databricks, and Kubernetes.
• Strong focus on reliability, maintainability, and continuous improvement.

Culture & Benefits

• Work on AI and data-driven products influencing what millions of listeners hear and how brands invest in media.
• Shape engineering standards and reusable patterns across the data product portfolio.
• Collaborate across Data Science, MLOps, Data Engineering, and Product.
• Inclusive workplace with reasonable adjustments available throughout the recruitment process and workplace.