Machine Learning Engineer I

American Express Global Business travel; City of Westminster; On-site; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Flexible benefits starting day one

Health and welfare insurance plans

Parental leave and adoption assistance

Wellbeing resources

Job summary

American Express Global Business Travel (Amex GBT) is seeking a Machine Learning Engineer I to join our Product AI Engineering team. You will design, build, and optimize intelligent systems, owning the full lifecycle from raw data to deployed models with measurable business impact.

You’ll collaborate across disciplines, travel, and contribute to AI systems that matter, while supporting an inclusive and collaborative culture where your voice is valued.

Qualifications

• 2+ years of experience with preferably a master's degree or equivalent.
• Proven knowledge of AI techniques with an 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 structured and unstructured data.
• Strong knowledge of hands-on practice in Python.
• Familiarity with popular ML 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, machine learning models as service, and monitoring dashboards is a plus.
• Some infrastructure knowledge (AWS, Kubernetes) and cost-awareness are a plus.

Responsibilities

• 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.
• Utilize appropriate methods and approaches to develop practical solutions for the business.
• 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.

Skills

AI techniques

Statistical concepts

Python

Data science methods

Communication to leadership

Education

Master's degree or equivalent

Tools

scikit-learn

Hugging Face

PyTorch

TensorFlow

MLFlow

AWS SageMaker

Bedrock

SQL

PySpark

Kubernetes

Job description

All applicants will receive equal consideration for employment without regard to age, sex, gender (and characteristics related to sex and gender), pregnancy (and related medical conditions), race, color, citizenship, religion, disability, or any other class or characteristic protected by law. Click Here (https://explorer.amexglobalbusinesstravel.com/rs/346-POJ-129/images/Additional%20Disclosures%20in%20Accordance%20with%20the%20LA%20County%20Fair%20Chance%20Ordinance.pdf?version=2) for Additional Disclosures in Accordance with the LA County Fair Chance Ordinance.

• Flexible benefits are tailored to each country and start the day you do. These include health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and wellbeing resources to support you and your immediate family.
• Travel perks: get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals.
• Develop the skills you want when the time is right for you, with access to over 20,000 courses on our learning platform, leadership courses, and new job openings available to internal candidates first.
• We strive to champion Inclusion in every aspect of our business at Amex GBT. You can connect with colleagues through our global INclusion Groups, centered around common identities or initiatives, to discuss challenges, obstacles, achievements, and drive company awareness and action.
• And much more!

Requirements

• 2+ years of experience with preferably a master's degree or equivalent.
• Proven knowledge of AI techniques with an 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 structured and unstructured 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, machine learning models as service, and monitoring dashboards is a plus.
• Some infrastructure knowledge (AWS, Kubernetes) and cost-awareness are a plus.

Amex GBT is a place where colleagues find inspiration in travel as a force for good and - through their work - can make an impact on our industry. We're here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued.

About the job

We are looking for a Machine Learning Engineer I to join our Product AI Engineering team. You will help us design, build, and optimize intelligent systems. This is not just a modeling role, you'll own the full lifecycle: from raw data to deployed models / compound systems to measurable business impact. If you're passionate about solving real-world problems at scale, collaborating across disciplines, travel, and making AI systems that truly matter - this is for you.

We are committed to providing reasonable accommodation to qualified individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the hiring process.

For details regarding how we protect your data, please consult the Amex GBT Recruitment Privacy Statement (https://www.amexglobalbusinesstravel.com/gbt-recruitment-privacy-statement/).

Responsibilities

• 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.
• Utilize appropriate methods and approaches to develop practical solutions for the business.
• 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.