Machine Learning Engineer III

American Express Global Business Travel

Machine Learning Engineer III at Amex GBT utilizing AI techniques for real-world problem-solving. Collaborating globally to design and optimize intelligent systems with measurable business impact.

Posted 4/17/2026full-timeLondon • 🇬🇧 United KingdomSeniorLeadWebsite

Tech Stack

Tools & technologies

AWSPySparkPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Utilize AI techniques, including machine learning, deep learning, generative AI, and statistical modeling, to develop and implement solutions for tackling real-world problems
Apply strong coding skills, analytical abilities, and innovative thinking to quickly understand new domains and transform creative ideas into functional solutions
Employ statistical and data science methods to make data-driven decisions
Manipulate large data sets for business insights and drive actionable solutions
Utilize appropriate methods and approaches to develop practical solutions for the business
Structure work, frame issues, and produce analyses/ML models/Compound AI systems that answer complex business questions in a pragmatic approach
Communicate complex data science topics in a clean & simple way to multiple partners and senior leadership
Collaborate with a global team across different continents to achieve project goals

Requirements

What you’ll need

8+ years of experience with a bachelor’s degree or equivalent, or 5+ years with a master’s degree or equivalent
Proven ability to conceptualize business problems and solve them through data science solutions
Proven knowledge of AI techniques such as Bayesian methods, Clustering, Ensemble tree models, NLP, etc.
Good understanding of LLMs, guardrails, RAG, agentic AI
Strong passion for solving problems and finding patterns and insights within structured and unstructured data
Industry experience in leveraging AI techniques on real-world large data sets
Understanding of the concepts and steps involved in working with real-world large data sets
Strong knowledge of hands-on practice in Python
Familiarity with popular machine learning libraries and frameworks such as scikit-learn, Hugging Face, PyTorch and TensorFlow
Experience with MLFlow, AWS SageMaker and Bedrock is preferred
Familiar with MLOps concept
Comfortable with data cleansing using SQL and PySpark
Good written and oral communication skills, including the ability to communicate across business areas

Benefits

Comp & perks

Flexible benefits tailored to each country
Health and welfare insurance plans
Retirement programs
Parental leave
Adoption assistance
Wellbeing resources to support you and your immediate family
Access to over 20,000 courses on our learning platform
Leadership courses
Internal job openings available to internal candidates first
Inclusion Groups to discuss challenges and drive company awareness and action

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningdeep learninggenerative AIstatistical modelingdata sciencePythonSQLPySparkBayesian methodsNLP

Soft Skills

analytical abilitiesinnovative thinkingproblem-solvingcommunicationcollaborationconceptualizationdata-driven decision makingpattern recognitionadaptabilitypresentation skills