MLOps Engineering Manager (AI)

Location: London, United Kingdom; hybrid model with office attendance required at least 60% of the time over a 12-week period. A 28-day work-from-abroad policy is available.

Company

hirify.global is a European rail and coach travel platform that helps travellers find and book journeys through its mobile app, website, and B2B partner channels.

What you will do

• Build and lead a new team of MLOps Engineers.
• Define MLOps processes, tooling, and infrastructure standards across the technology department.
• Own the deployment, operation, observability, and production readiness of machine learning products.
• Support the productionisation of batch and online models, including recommendation, classification, regression, LLM, and agent-based systems.
• Partner with ML Engineers, Data Engineers, Software Engineers, Data Scientists, Product Managers, and business stakeholders.
• Shape technology choices across cloud infrastructure, CI/CD, monitoring, and MLOps tooling.

Requirements

• Experience leading, managing, or mentoring engineers and developing inclusive, effective teams.
• Strong experience productionising machine learning models at scale across batch and online use cases.
• Understanding of the machine learning lifecycle, including data extraction, feature engineering, modelling, evaluation, deployment, and monitoring.
• Experience with cloud infrastructure, DevOps practices, Docker, Terraform, CI/CD pipelines, and infrastructure as code; AWS experience is preferred.
• Familiarity with MLflow, Airflow, model and API monitoring, data validation, drift detection, autoscaling, and access management.
• Strong Python experience and clear communication skills; Spark or PySpark and feature-store knowledge are useful.

Culture & Benefits

• Private healthcare and dental insurance.
• Share purchase plan, EV scheme, extra festive time off, and family-friendly benefits.
• Personal learning budgets, regular learning days, and transparent career paths and pay bands.
• Inclusive, collaborative culture focused on curiosity, ownership, sustainable travel, and measurable impact.