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Remote MLOps Engineer — AI-Powered Pricing & Revenue

Applied Intuition Inc.

City of Westminster

Hybrid

GBP 60,000 - 80,000

Full time

Today
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Job summary

A leading software provider in hospitality is seeking a Machine Learning Ops Engineer to develop features that help customers optimize revenue through data-driven solutions. This remote role involves collaborating with product and engineering teams, establishing robust MLOps practices, and ensuring the reliability of machine learning systems. Candidates should have a strong background in ML, data engineering, and Python, along with a Bachelor's degree in a related field. Join a team dedicated to transforming hospitality through AI-driven insights.

Benefits

Remote work flexibility
Paid parental leave
Professional development opportunities
Monthly wellness Fridays
Home office stipend

Qualifications

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

Responsibilities

  • Develop and implement machine learning features for revenue optimization.
  • Establish robust MLOps practices for model deployment.
  • Collaborate with cross-functional teams to define SLIs/SLOs.

Skills

Machine learning
Data engineering
Python programming
SQL
Problem-solving
Collaboration

Education

Bachelor's degree in Computer Science or related field

Tools

Apache Airflow
AWS
MLFlow
Job description
A leading software provider in hospitality is seeking a Machine Learning Ops Engineer to develop features that help customers optimize revenue through data-driven solutions. This remote role involves collaborating with product and engineering teams, establishing robust MLOps practices, and ensuring the reliability of machine learning systems. Candidates should have a strong background in ML, data engineering, and Python, along with a Bachelor's degree in a related field. Join a team dedicated to transforming hospitality through AI-driven insights.
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