ML Engineer I — End-to-End AI Solutions at Scale

American Express Global Business Travel; Greater London; On-site; GBP 55,000 - 75,000; Full time

Benefits offered by this job

Flexible benefits

Travel perks

Skills development

Inclusion groups

Job summary

American Express Global Business Travel in London is seeking a Machine Learning Engineer I to join our Product AI Engineering team. You’ll own end-to-end ML projects from data wrangling to deployed models that drive measurable business impact in a travel context.

You’ll apply AI techniques, build scalable solutions, and collaborate with colleagues across disciplines and continents to deliver value. A master’s degree or equivalent and strong Python expertise are preferred.

Qualifications

• 2+ years experience with AI techniques and statistical methods.
• Master’s degree or equivalent preferred.
• Strong Python coding skills and data handling experience.

Responsibilities

• Develop and optimize ML solutions end-to-end from data to deployment.
• Collaborate with cross-functional teams to design intelligent systems.
• Apply data science methods to drive business impact in travel.
• Communicate complex ML concepts clearly to stakeholders.
• Work with large data sets to derive actionable insights.
• Build scalable models and monitor performance.
• Contribute to a global team across continents.

Skills

AI techniques

Python

Data analysis

Communication

Education

Master's degree or equivalent

Tools

scikit-learn

PyTorch

TensorFlow

Hugging Face

MLFlow

AWS SageMaker

Bedrock

SQL

PySpark

Kubernetes

Job description

American Express Global Business Travel in London is seeking a Machine Learning Engineer I to join our Product AI Engineering team. You’ll own end-to-end ML projects from data wrangling to deployed models that drive measurable business impact in a travel context.

You’ll apply AI techniques, build scalable solutions, and collaborate with colleagues across disciplines and continents to deliver value. A master’s degree or equivalent and strong Python expertise are preferred.