MLOps Engineer for AI Pricing in Hospitality (Remote)

Cloudbeds; Manchester; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A global hospitality technology firm is seeking a Machine Learning Ops Engineer to enhance data-driven pricing strategies through machine learning. This role involves developing MLOps practices, maintaining ML pipelines, and collaborating across teams to drive innovation. Candidates should have a Bachelor’s in Computer Science and 3+ years of experience in machine learning or data engineering. The position offers flexibility to work remotely with occasional travel to Paddington, and the opportunity to be part of a diverse team dedicated to transforming the hospitality industry through cutting-edge technology.

Benefits

Remote First, Remote Always

PTO in accordance with local labor requirements

Monthly Wellness Fridays

Professional development courses

Home office stipend based on residency

Qualifications

• 3+ years of experience in a data engineering or machine learning role.
• Proven expertise in designing and implementing ML testing strategies.
• Experience deploying ML models at scale on AWS.

Responsibilities

• Build and implement features for pricing optimization.
• Establish robust MLOps practices including CI/CD.
• Design and maintain data and ML pipelines.
• Collaborate with teams on improving system performance.

Skills

Python programming

SQL

Data-driven solutions

MLOps best practices

Problem-solving

Education

Bachelor's degree in Computer Science

Tools

Apache Airflow

AWS

MLFlow

GitHub Actions

Job description

A global hospitality technology firm is seeking a Machine Learning Ops Engineer to enhance data-driven pricing strategies through machine learning. This role involves developing MLOps practices, maintaining ML pipelines, and collaborating across teams to drive innovation. Candidates should have a Bachelor’s in Computer Science and 3+ years of experience in machine learning or data engineering. The position offers flexibility to work remotely with occasional travel to Paddington, and the opportunity to be part of a diverse team dedicated to transforming the hospitality industry through cutting-edge technology.