Machine Learning Engineer
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-10-22
Listing for:
American Express Global Business Travel
Full Time
position Listed on 2026-10-22
Job specializations:
-
Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Location: Greater London
Machine Learning Engineer I### Machine Learning Engineer IApply:
London, United Kingdom:
Full time:
Posted Today:
J-85419
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 jobAmex 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.
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.
*
* What You’ll Do:
*** 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.
** What We’re Looking For
*** 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 Tensor Flow.
* Experience with MLFlow, AWS Sage Maker and Bedrock is preferred.
* Familiar with MLOps concept, SQL and Py Spark
* 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.#AmexGBTJobs
** Location
* * London, United Kingdom
** The #TeamGBT Experience
** Work and life:
Find your happy medium at Amex GBT.
* ** 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…
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