Cloudbeds Logo

Cloudbeds

ML Engineer

Posted 3 Days Ago
Be an Early Applicant
United Kingdom
Mid level
United Kingdom
Mid level
As a Machine Learning Engineer, you will develop and implement features that optimize revenue for lodging customers. This includes building machine learning models, collaborating with teams for product improvements, managing data pipelines, and conducting data analysis to inform strategies.
The summary above was generated by AI

What Makes Us 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. 


As a ML Engineer, you will build and implement end-to-end features and functionality that allow our lodging customers to guide their pricing strategy. Some of these features will make use of simple heuristic data while others may involve some algorithmic or machine learning components. You will work closely with our product and engineering teams to identify areas of improvement and develop solutions to drive revenue growth for the hotels our customers operate. You will be responsible for the end-to-end development of our revenue management application.

Location: South Kensington, London (Hybrid)What You Will Do: 

  • Build and implement end-to-end features and functionality that allow our lodging customers to optimize their revenue, through making informed pricing decisions. Some of these features will make us of simple heuristic data while others may involve algorithmic or machine learning components
  • Where needed, develop and implement machine learning models to optimize revenue generating opportunities for our customers
  • Collaborate with cross-functional teams to identify areas for product improvement
  • If needed, figure out ways to structure data to make it easy to analyze and apply learning algorithms
  • Build and maintain data pipelines to extract and transform data from various sources
  • Analyze data sets to identify trends and patterns that inform product development and marketing strategies
  • Design and conduct experiments to test the effectiveness of new features and improvements
  • Communicate findings and insights to stakeholders across the organization, including product, engineering, and customer success teams

You’ll Succeed With: 

  • Bachelor's degree or higher in a quantitative field such as Computer Science, Statistics, Mathematics, or Data Science
  • 3+ years of experience in a data engineering role, preferably in the hospitality industry
  • Expertise deploying machine learning models on the Cloud at scale, e.g. using MLFlow
  • Expert level knowledge of SQL and experience working with large datasets
  • Expertise with AWS or other cloud computing platform
  • Experience implementing machine learning models using Python, including familiarity with popular data science frameworks such as Pandas, Scikit-Learn
  • Strong problem-solving skills and ability to think creatively about complex business problems
  • Strong application development skills
  • Excellent communication skills and ability to collaborate effectively with cross-functional teams

#LI-REMOTE #LI-AM1

What to Expert - 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 to Check Out! 

  • Best All-In-One Hotel Management System | HotelTechAwards (2025)
  • Overall 10 Best Places to Work | HotelTechAwards (2025)
  • Most Loved Workplace® Certified (2024) 
  • Top 10 People’s Choice(2024)
  • Deloitte Technology Fast 500 (2024)

Discover our Benefits:

  • Remote First
  • PTO in accordance with local labor requirements
  • 2 corporate apartment accommodations for employee use for free (San Diego & São Paulo)
  • Full Paid Parental Leave
  • Home office stipend based on country of residency
  • Professional development courses in Cloudbeds University
  • Therapy + coaching sessions (limited per year)
  • Access to professional development, including manager training, upskilling and knowledge transfer.

Everyone is Welcome - A Culutre 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 858-201-7832 or via email at [email protected]. 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.

Top Skills

Python

Similar Jobs

Be an Early Applicant
2 Days Ago
London, Greater London, England, GBR
Hybrid
289,097 Employees
Senior level
289,097 Employees
Senior level
Financial Services
As a Senior Associate Machine Learning Engineer at JPMorgan, you will lead AI solutions in financial services, develop and deploy machine learning models, collaborate with engineers, and enhance data science capabilities. You will apply NLP and Computer Vision techniques while communicating results to diverse audiences.
Be an Early Applicant
2 Days Ago
London, Greater London, England, GBR
Hybrid
744 Employees
Senior level
744 Employees
Senior level
Enterprise Web • Marketing Tech • Software
As a Senior Machine Learning Engineer at Contentful, you'll develop and optimize ML solutions, conduct research using Jupyter Notebook, and integrate ML cloud solutions to enhance customer experiences. Additionally, you'll lead design reviews and drive ML education within the team while ensuring the quality of ML workloads for enterprise customers.
Be an Early Applicant
2 Days Ago
London, Greater London, England, GBR
Hybrid
289,097 Employees
Senior level
289,097 Employees
Senior level
Financial Services
Lead the design and implementation of machine learning solutions utilizing AI techniques to optimize business decisions and automate processes. Collaborate with various teams to ensure the deployment and maintenance of ML services, while adhering to industry regulations and effectively communicating results to stakeholders.

What you need to know about the Bristol Tech Scene

Along with Gloucester, Swindon and Bath, Bristol is part of the "Silicon Gorge" tech hub, a region in the U.K. renowned for its high-tech and research-driven industries, with a particular emphasis on sustainability and reducing environmental impact. As the European Green Capital, Bristol is home to 25,000 cleantech companies, including Baker Hughes and unicorn Ovo Energy. The city has committed to achieving net-zero emissions within the next decade.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account