American Express Global Business Travel

Machine Learning Engineer III

American Express Global Business Travel

full-time

Posted on:

Location Type: Office

Location: LondonUnited Kingdom

Visit company website

Explore more

AI Apply
Apply

Job Level

About the role

  • 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

  • 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
  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningdeep learninggenerative AIstatistical modelingdata sciencePythonSQLPySparkBayesian methodsNLP
Soft Skills
analytical abilitiesinnovative thinkingproblem-solvingcommunicationcollaborationconceptualizationdata-driven decision makingpattern recognitionadaptabilitypresentation skills