
Machine Learning Engineer III
American Express Global Business Travel
full-time
Posted on:
Location Type: Office
Location: London • United Kingdom
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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