Staff ML Engineer

Cloudbeds; Greater London; On-site; GBP 90,000 - 150,000; Full time

Benefits offered by this job

Home office stipend based on residency

Fully paid parental leave

Remote-first culture

Job summary

Cloudbeds seeks a Staff Machine Learning Engineer to design and deploy data-driven pricing features for hospitality customers. You will scale ML models from experiments to production, emphasizing reliability and performance.

You will apply ML methods to optimize revenue, build data pipelines on AWS, and mentor teammates while advancing robust ML practices across the lifecycle.

Qualifications

• 5+ years of experience in a machine learning role, with proven success deploying models to production.
• Experience designing and implementing ML testing strategies (data validation, model correctness, performance testing).
• Strong understanding of ML principles (experimental design, distributions, algorithms).
• Experience deploying ML models at scale on AWS, with MLFlow/Sagemaker or similar platforms.
• Strong Python programming skills and software engineering best practices.

Responsibilities

• Build and implement features enabling data-driven pricing decisions for hospitality customers.
• Ensure reliability, scalability, and high quality of ML systems from development to production.
• Establish robust ML practices and rigorous testing across the ML lifecycle.
• Structure data pipelines and implement/validate ML models for revenue management apps.
• Collaborate with product and engineering teams to identify opportunities and drive impact.

Skills

Architectural Expertise

MLOps

Python & Backend

SLIs/SLOs

Leadership

Revenue ML

Education

Bachelor's degree in Computer Science/Statistics/Math/Data Science

Tools

AWS

MLFlow

Sagemaker

Docker

Kubernetes

Airflow

Flink

Job description

What Makes Cloudbeds Unique

At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024, but we're just getting started.

Location - Remote (Europe)

How You'll Make an Impact

As a Staff Machine Learning Engineer, you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies.

You’ll work closely with product and engineering teams to identify opportunities for improvement, develop innovative solutions, and drive revenue growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You’ll be instrumental in establishing robust ML practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models, you’ll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success.

Our machine learning team is energized by the unique challenge of revolutionizing guest experiences through AI-driven insights, transforming traditional hospitality with cutting-edge predictive algorithms.

We thrive on collaborative innovation, where data scientists, engineers, and product experts seamlessly blend their expertise to prototype bold ideas and directly impact operational efficiency.

People who are passionate about continuous learning, unafraid to challenge conventions, and excited by the intersection of hospitality and deep technical prowess will find their home among our forward-thinking team.

What You Bring to the Team

• Architectural Expertise: Proven track record in designing, deploying, and maintaining production-grade, distributed ML systems (Sagemaker)
• Deep MLOps Proficiency: Expert-level knowledge of CI/CD, orchestration (e.g., Apache Airflow, Flink), and model monitoring/drift detection at scale.
• Software Engineering Rigor: Strong background in Python, distributed systems, and backend development, with a firm grasp of software engineering best practices.
• Technical Strategy: Experience defining SLIs/SLOs and managing large-scale technical roadmaps.
• Leadership: Demonstrated ability to influence cross-functional teams, mentor junior talent, and drive consensus on complex technical decisions.
• Domain Knowledge: Ability to apply statistical and ML methods to optimize revenue management and pricing strategies.

What Sets You Up for Success

• 5+ years of experience in a machine learning role, with demonstrated success in ML Engineering and deploying models to production.
• Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing).
• Great understanding of machine learning principles (experimental design, statistical distributions and test, machine learning algorithms)
• Expertise in deploying ML models at scale on AWS, with experience using MLFlow, Sagemaker or similar platforms.
• Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews, using Docker, Terform, Kubernetes).
• Expert-level SQL skills and experience working with large datasets for analysis and modeling.
• Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex business challenges.
• Excellent communication and collaboration skills, with experience working cross-functionally with product and engineering teams.
• Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.

Bonus Skills to Stand Out (Optional)

• Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment.
• Experience with data quality monitoring tools and frameworks.
• Master’s or PhD in Computer Science, Mathematics, or a related field.

What to Expect - Your Journey with Us

Behind Cloudbeds' revolutionary technology is a team of redefining what's possible in hospitality. We're 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold – we're coding it, designing it, writing it, and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary.

Learn more online at cloudbeds.com

Company Awards

• Overall 10 Best Places to Work | HotelTechAwards (2025)
• Top 10 People’s Choice (2024)
• Remote First, Remote Always
• PTO in accordance with local labor requirements
• Monthly Wellness Fridays - enjoy an extra-long weekend every month
• Fully Paid Parental Leave
• Home office stipend based on country of residency
• Professional development courses in Cloudbeds University
• Access to professional development, including manager training, upskilling and knowledge transfer

Everyone is Welcome - A Culture of Inclusion

Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard-of-hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at [phone] or via email at [e-mail]. Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications.