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For Companies At a Glance
- Tasks: Shape the future of travel by developing innovative machine learning solutions.
- Company: Join Expedia Group, a leader in global travel technology.
- Benefits: Enjoy travel perks, flexible work, generous time-off, and career development resources.
- Why this job: Make a real impact in travel tech while collaborating with diverse teams.
- Qualifications: Master’s or Ph.D. in a technical field and 2+ years of ML experience required.
- Other info: Work in a vibrant environment with opportunities for growth and innovation.
The predicted salary is between 36000 - 60000 £ per year.
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.
Why Join Us?
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.
In this role, you will:
- Work with product management to understand business problems, identify challenges and machine learning opportunities, and scope solutions.
- Conduct exploratory data analysis, formulate machine learning problems, and build effective models.
- Partner with data and software engineering teams to deliver your solutions into production.
- Develop a deep understanding of our data and ML infrastructure.
- Document the technical details of your work.
- Present your ideas and results to product management, stakeholders, and leadership teams in a clear and effective manner.
- Collaborate and brainstorm with other team members and across the company.
- Stay current with advances in ML and GenAI to drive innovation within the team.
Minimum Qualifications:
- Master’s degree or Ph.D. in Computer Science, Statistics, Math, Engineering, or a related technical field; or equivalent related professional experience.
- You have 2+ years hands-on experience with ML in production, building datasets, selecting and engineering features, building and optimizing algorithms.
- You have expertise with Python and related machine learning tools, deep learning frameworks such as TensorFlow or PyTorch, and SQL-like query languages for data extraction, transformation, and loading.
- A strong foundation in Machine Learning fundamentals, statistics, and experimentation.
- You have real-world experience working with large data sets in a distributed computing environment such as Spark.
- You have good programming practices, ability to write readable, fast code.
- You have intellectual curiosity and desire to learn new things, techniques and technologies.
Preferred Qualifications:
- Experience with ranking systems and recent Large Language Models (LLMs), including fine-tuning, efficient deployment, and architectures.
- Comfortable working with ML platforms like DataBricks and Cloud platforms such as AWS, and Docker.
- Hands-on experience with workflow orchestration tools (e.g., Airflow, Flyte).
Location expectations:
This role is based in London, in alignment with our flexible work model which requires employees to be in-office at least three days a week. Relocation assistance may be considered for qualified candidates.
Machine Learning Specialist in London employer: Expedia Group
Contact Detail:
Expedia Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Specialist in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at Expedia Group. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, let your work speak for itself and make it easy for us to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to present your ideas clearly to product management and stakeholders.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our vibrant community.
We think you need these skills to ace Machine Learning Specialist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Machine Learning Specialist role. Highlight your hands-on experience with ML, Python, and any relevant projects you've worked on. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about travel tech and how your background aligns with our values. Let us know what excites you about the opportunity at Expedia Group.
Showcase Your Projects: If you've worked on interesting ML projects, don’t hold back! Include links to your GitHub or any relevant portfolios. We love seeing practical applications of your skills and how you tackle real-world problems.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our vibrant community!
How to prepare for a job interview at Expedia Group
✨Know Your Stuff
Make sure you brush up on your machine learning fundamentals and the specific tools mentioned in the job description, like Python, TensorFlow, and SQL. Be ready to discuss your hands-on experience with these technologies and how you've applied them in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled business problems using machine learning. Think of specific examples where you identified challenges, scoped solutions, and delivered results. This will demonstrate your ability to work collaboratively with product management and engineering teams.
✨Communicate Clearly
Since you'll need to present your ideas to various stakeholders, practice explaining complex concepts in a simple way. Use clear examples and avoid jargon when possible. This will show that you can effectively communicate your findings and collaborate across teams.
✨Stay Current and Curious
Keep yourself updated on the latest trends in machine learning and generative AI. Mention any recent advancements or projects you've been involved in during the interview. This shows your intellectual curiosity and commitment to driving innovation within the team.