Machine Learning Engineer II
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
- Apply strong coding skills, analytical abilities, and innovative thinking
- Employ statistical and data science methods to make data-driven decisions
- Manipulate large data sets for business insights and drive actionable solutions
- Structure work, frame issues, and produce analyses/ML models/Compound AI systems
- 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
- 6+ years of experience with a bachelor’s degree or equivalent, or 3+ years with a master’s degree or equivalent
- Proven knowledge of AI techniques and excellent grasp of statistical concepts and methods
- Good understanding of LLMs, guardrails, RAG, agentic AI
- Strong passion for solving problems and finding patterns and insights within data
- 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, SQL and PySpark
- Experience with feature stores and monitoring dashboards is a plus
- Some infrastructure knowledge (AWS, Kubernetes) and cost-awareness are a plus.
Benefits
- Flexible benefits tailored to each country
- Health and welfare insurance plans
- Retirement programs
- Parental leave
- Adoption assistance
- Wellbeing resources
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 modelingPythonSQLPySparkMLOpsdata science methodsfeature stores
Soft Skills
analytical abilitiesinnovative thinkingproblem-solvingcommunicationcollaboration