At a Glance
- Tasks: Develop and implement features to optimise hotel pricing strategies using machine learning.
- Company: Join Cloudbeds, a leading hospitality platform transforming hotel operations globally.
- Benefits: Enjoy flexible working hours, open vacation time, and remote work opportunities.
- Why this job: Be part of a diverse team solving real industry challenges while growing your skills.
- Qualifications: Bachelor's degree in a quantitative field and 3+ years in data engineering required.
- Other info: Cloudbeds is an Equal Opportunity Employer committed to diversity and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
Cloudbeds is the leading platform redefining the concept of PMS for the hospitality industry, serving tens of thousands of properties in more than 150 countries worldwide. Built from the ground up to be masterfully unified and scalable, the award-winning Cloudbeds Platform brings together built-in and integrated solutions that modernize hotel operations, distribution, guest experience, and data & analytics.
Behind the Cloudbeds platform is a growing team of 650+ employees distributed across 40+ countries speaking 30+ languages. We are engineers and designers, hotel managers and travel agents, and experts on everything from big data to e-commerce to compliance. The Cloudbeds team comprises the brightest minds in technology and hospitality working to solve the industry's biggest challenges.
From the beginning, we’ve believed that our people are our greatest asset, so we founded the company as #RemoteFirst, #RemoteAlways with shared core values and tenets that allow our team to thrive. This means we:
- Hire the best people around the world;
- Prioritize our customers and results over titles;
- Foster an inclusive culture that celebrates bold thinking and diverse perspectives;
- Offer open vacation time, flexible paid holidays, and company-wide mental health days;
- Provide access to professional development, including manager training, upskilling and knowledge transfer.
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.
- 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.
- 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.
- Excellent communication skills and ability to collaborate effectively with cross-functional teams.
Our company culture supports flexible working schedules with an open Paid Time Away policy and gives all team members the opportunity to travel and work remotely with great people. If you think you have the skills and passion, we’ll give you the support and opportunity to thrive in your career. If you would like to be considered for the role, we would love to hear from you!
Company Awards to Check Out!
- Best Places to Work | HotelTechReport (2018-2023)
- Best PMS | HotelTechReport (2021-2023)
- Fastest Growing Companies | Inc. 5000 (2022)
- Best Startup Employers | Forbes (2022)
- Best Remote Companies to Work | BuiltIn (2022)
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.
ML Engineer employer: Cloudbeds
Contact Detail:
Cloudbeds Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer
✨Tip Number 1
Familiarise yourself with the hospitality industry and its specific challenges. Understanding how machine learning can optimise revenue management in hotels will give you an edge during discussions with the team.
✨Tip Number 2
Showcase your experience with cloud platforms, especially AWS. Be prepared to discuss specific projects where you've deployed machine learning models at scale, as this is a key requirement for the role.
✨Tip Number 3
Highlight your collaborative skills by preparing examples of how you've worked with cross-functional teams in the past. This will demonstrate your ability to communicate effectively and drive product improvements.
✨Tip Number 4
Stay updated on the latest trends in data science and machine learning frameworks like Pandas and Scikit-Learn. Being knowledgeable about current technologies will help you stand out as a candidate who is ready to contribute from day one.
We think you need these skills to ace ML Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and data engineering. Emphasise your expertise with SQL, cloud platforms like AWS, and any specific projects that demonstrate your ability to optimise revenue through data analysis.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the hospitality industry and how your skills align with Cloudbeds' mission. Mention specific examples of how you've successfully implemented machine learning models or improved data processes in previous roles.
Showcase Your Problem-Solving Skills: Include examples in your application that demonstrate your strong problem-solving abilities. Discuss complex business problems you've tackled and the creative solutions you developed, particularly in relation to data analysis and machine learning.
Highlight Collaboration Experience: Since the role involves working with cross-functional teams, be sure to mention any past experiences where you collaborated effectively with different departments. This could include product development, engineering, or customer success teams.
How to prepare for a job interview at Cloudbeds
✨Showcase Your Technical Skills
As an ML Engineer, it's crucial to demonstrate your expertise in machine learning and data engineering. Be prepared to discuss specific projects where you've deployed models at scale, particularly using tools like MLFlow, and highlight your experience with SQL and large datasets.
✨Understand the Hospitality Industry
Cloudbeds operates within the hospitality sector, so having a solid understanding of industry challenges and trends can set you apart. Research common pricing strategies and revenue management practices used by hotels to show your knowledge during the interview.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Think through complex business problems you've encountered in the past and be ready to explain how you approached them, especially in relation to data analysis and machine learning solutions.
✨Emphasise Collaboration Skills
Since the role involves working closely with cross-functional teams, highlight your communication and collaboration skills. Share examples of how you've successfully worked with product and engineering teams to drive improvements and achieve common goals.