Staff ML Engineer - Revenue Optimization (Remote)

Cloudbeds; Manchester; On-site; GBP 94,000 - 137,000; Full time

Benefits offered by this job

Home office stipend

Fully Paid Parental Leave

Remote First

PTO in accordance with local labor

Job summary

Cloudbeds is building AI-powered pricing tools for hospitality, operating with a remote European team. As Staff ML Engineer, you will design and implement features that enable data-driven pricing decisions, combining heuristic data with advanced ML to optimize revenue for hotels worldwide.

You’ll own end-to-end ML lifecycle—from data pipelines and model validation to deployment and monitoring—ensuring reliability, scalability, and high-quality ML systems across production.

Qualifications

• Bachelor’s degree in CS, Statistics, Math, Data Science, or related field.
• Proven ML production deployment experience.
• Experience with ML testing strategies and data validation.
• Strong Python and software engineering practices.

Responsibilities

• Build features for data-driven pricing decisions using ML.
• Develop and validate ML models end-to-end.
• Establish robust ML practices and testing.
• Collaborate with product/engineering to improve reliability and scalability.

Skills

Python

MLOps

AWS

Distributed systems

CI/CD

SQL

Docker

Kubernetes

Leadership

Data modeling

Education

Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or related field

Tools

Sagemaker

Apache Airflow

Flink

MLFlow

Docker

Kubernetes

Job description

Cloudbeds is building AI-powered pricing tools for hospitality, operating with a remote European team. As Staff ML Engineer, you will design and implement features that enable data-driven pricing decisions, combining heuristic data with advanced ML to optimize revenue for hotels worldwide.

You’ll own end-to-end ML lifecycle—from data pipelines and model validation to deployment and monitoring—ensuring reliability, scalability, and high-quality ML systems across production.