ML Engineer (AI)

Location: Holborn, London, UK; minimum three days in the office each week, including at least two Mondays and two Fridays per month; occasional travel to Leicester Square.

Company

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

What you will do

• Productionise data-science models into reliable, testable, scalable systems for batch and real-time use cases.
• Build and maintain model-serving infrastructure and consistent feature pipelines.
• Monitor live models, detect data and model drift, manage retraining, and audit or migrate existing models without disrupting products.
• Apply and improve engineering standards for model development, testing, deployment, and MLOps.
• Create reusable templates and documentation that enable data scientists to work independently.
• Partner with Data Science, MLOps, Data Engineering, and Product to ensure models are deployable and maintainable.

Requirements

• Commercial experience delivering ML projects, including deployment, CI/CD, and lifecycle management across scheduled batch models and API-served models.
• Strong production-quality Python skills, including unit testing, version control, code review, and defensive coding.
• Ability to investigate model underperformance across data, features, and architecture, explain trade-offs, and implement production monitoring and safeguards against model and data drift.
• Familiarity with Airflow or similar workflow orchestration tools and dependable data and model pipeline maintenance.
• Understanding of production inference patterns and reproducible environments.
• Familiarity with a SQL data warehouse-style system and experience with AWS, GCP, or Azure.
• Focus on reliability, maintainability, continuous improvement, learning from experienced colleagues, and sharing knowledge.

Nice to have

• Experience with PyTorch or similar ML frameworks.
• Experience with AWS, SageMaker, Snowflake, and Kubernetes.
• Experience with Docker and MLflow or equivalent tools.

Culture & Benefits

• Work in an AI- and data-driven environment where models influence listener experiences and media-budget decisions.
• Inclusive workplace with reasonable adjustments available for the recruitment process and workplace.
• Smart Working combines flexibility with in-person collaboration.
• Standard arrangement requires at least three office days per week, with office days distributed across the week.

Hiring process

• Role-specific working arrangements will be discussed during the recruitment process.
• Requests for reasonable adjustments can be sent to recruitment@hirify.global.com.