Senior Machine Learning Engineer (PyTorch)

TL;DR

Senior Machine Learning Engineer (PyTorch/AWS): Bridging the gap between data science and production by making models robust, scalable, and maintainable across audience targeting and advertising measurement with an accent on productionization and MLOps. Focus on translating experimental models into production systems, building serving infrastructure, and defining team-wide engineering standards.

Location: Based in central London (Holborn)

Company

hirify.global is a leading media and entertainment company operating a diverse data and product portfolio that reaches millions of listeners.

What you will do

• Translate experimental models into reliable, testable production systems for audience targeting and content intelligence.
• Build APIs and serving infrastructure across batch and real-time processing.
• Design consistent feature pipelines and migrate existing models to modern engineering standards.
• Define and document engineering standards for model building, testing, and deployment aligned with the MLOps platform.
• Partner with Data Scientists, MLOps, and Product teams to shape new AI-driven products.

Requirements

• Professional experience delivering ML and deep-learning projects at high data volume in commercial environments.
• Strong proficiency in Python and ML frameworks such as PyTorch.
• Deep understanding of production inference patterns and reproducible environments (Docker, MLflow).
• Hands-on experience with AWS, SageMaker, Snowflake, Spark/Databricks, and Kubernetes.
• Ability to diagnose model underperformance across data and architecture and make reasoned trade-offs.

Culture & Benefits

• Direct impact on products used by millions of listeners and major hirify.global brands.
• High level of ownership over the engineering standards and patterns used by the team.
• Collaborative environment working across Data Science, MLOps, and Data Engineering functions.
• Inclusive workplace culture committed to diversity and accessibility.