ML Ops Engineer (AI)

Location: Holborn, London, United Kingdom

Company

hirify.global:IQ is building an intelligence platform that uses first-party and partner data to create data-led media plans across audio and Outdoor inventory.

What you will do

• Build automated pipelines for model training, validation, deployment, model registries, feature stores, and inference services.
• Develop self-service MLOps tooling for Data Science teams and operationalise ML models in production.
• Implement monitoring, alerting, automated recovery, rollback, rollout, and incident response for ML workloads.
• Establish model lineage, reproducibility, audit trails, ML-specific CI/CD, testing, and release automation.
• Partner with Data Science, Data Engineering, and Product, while mentoring junior engineers.

Requirements

• Experience operationalising ML models in production and managing their deployment, monitoring, and lifecycle.
• Production-quality, testable Python programming skills.
• Deep AWS expertise, including SageMaker, Lambda, ECS/EKS, and Step Functions.
• Experience with experiment tracking, model registries, workflow orchestration, model serving, and feature stores.
• Experience with ML-specific CI/CD, Terraform, Docker, and test automation.
• Strong communication skills for translating between Data Science and Engineering and explaining technical trade-offs.

Nice to have

• Snowflake experience.

Culture & Benefits

• Opportunity to establish MLOps patterns and standards for a new AI-driven product.
• Pragmatic, reusable engineering patterns focused on reliability and maintainability.
• Close collaboration between technical and commercial teams.
• Inclusive workplace with reasonable adjustments available throughout the recruitment process and workplace.