Machine Learning Specialist

Expedia, Inc.; City Of London; Hybrid; GBP 62,000; Full time

Job summary

A leading travel technology company is seeking a Machine Learning Specialist in London. This role involves identifying ML opportunities, conducting data analysis, and collaborating with engineering teams. The ideal candidate should have a Master's degree or Ph.D. and at least 2 years of experience in ML production. They will work remotely with a flexible model, requiring at least three in-office days weekly. Exciting benefits and travel perks are provided.

Benefits

Exciting travel perks

Generous time-off

Career development resources

Qualifications

• 2+ years hands-on experience with ML in production.
• Experience building datasets and selecting features.
• Strong foundation in Machine Learning fundamentals.

Responsibilities

• Work with product management to identify business challenges and ML opportunities.
• Conduct exploratory data analysis and build effective models.
• Collaborate with data and software engineering teams.

Skills

Machine Learning

Python

Data Analysis

Deep Learning

SQL

Spark

Docker

Cloud Platforms

Education

Master's degree or Ph.D. in Computer Science, Statistics, Math, Engineering

Tools

TensorFlow

PyTorch

Databricks

Airflow

Flyte

Job description

Machine Learning Specialist

Expedia Group

City of London, London

£61,587 per year - estimated?

NEW

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 when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time‑off, parental leave, 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.
• 2+ years hands‑on experience with ML in production, building datasets, selecting and engineering features, building and optimizing algorithms.
• 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.
• Real‑world experience working with large data sets in a distributed computing environment such as Spark.
• Good programming practices, ability to write readable, fast code.
• Intellectual curiosity and desire to learn new 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.