National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Machine Learning Engineer III

American Express Global Business Travel
London
3 days ago
Create job alert

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.

Amex GBT Egencia is at the center of revolutionizing business travel with our cutting-edge technology and the most desirable products in the industry. We have grown from a small start-up to become the 4th largest corporate travel management company in the world and getting acquired by the 1st.
How often do you get the opportunity to work in what feels like a startup environment but has funding of our parent company? That’s what you would be doing if you were joining Amex GBT.
The team's responsibilities span data integration supporting customers and internal business area and ML platform development. We are looking for a talent with different skillset, a passionate technologist and dedicated to solving real-world business problems; to lead the excellence of Data/ML engineering practice.

What You’ll Do on a Typical Day

Partner with technologists across the business to collaboratively solve problems.

Demonstrates active mentorship and rising talent identification.

Develops north star vision for domain in which they are focused.

Demonstrates positive impact and leadership across scope of the organization.

Serves as a specialist in architecting design solution patterns to any use case. Considers business needs, application needs and articulating to interested teams and partners.

Demonstrates mastery of software design, shapes coding methodologies that is scalable, resilient and stable.

Possesses a deep knowledge of entire system and can jump into code in any component and fire fight and contribute.

Expertise of professional software engineering practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.

Leads collaboration with key partners and contributes subject matter expertise to develop unique solutions to complex issues.

Have good infrastructure knowledge (AWS, Kubernetes)

Have some experience with Data (BI, Reporting, Analytics, Machine Learning and so on) would be a plus


What We’re Looking For

2 to 3 years for Bachelor's or equivalent / for Master's

Development background, infrastructure (AWS) knowledge, Data awareness

Proven experience in data modeling, schema design patterns and modern data access patterns (including API, streaming, data lake) and AWS

Demonstrates familiarity with various cloud technologies and building data products to support batch and real-time DS, ML and Deep learning applications.

Independently designs, communicates and executes on architecture for moderately sophisticated data products.

Has a strong understanding of testing and monitoring tools and technologies.

Guides others in design of software that is easily testable and observable.

Influences and contributes to product vision for the team.

Proficiency in platform development using Java/Python and SQL

Have some experience of Sagemaker or equivalent, feature store, dashboards and so on.

Has some basics around LLM, guardrails, observability, RAG.

Location

London, United Kingdom

The #TeamGBT Experience

Work and life: Find your happy medium at Amex GBT.

Flexible benefitsare 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 wantwhen 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 Inclusionin 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!

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.

for Additional Disclosures in Accordance with the LA County Fair Chance Ordinance.

Furthermore, 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 .

What if I don’t meet every requirement?If you’re passionate about our mission and believe you’d be a phenomenal addition to our team, don’t worry about “checking every box;" please apply anyway. You may be exactly the person we’re looking for!

Related Jobs

View all jobs

Audio Machine Learning Engineer

Staff Machine Learning Engineer (London)

Staff Machine Learning Engineer (London)

Staff Machine Learning Engineer

Staff Machine Learning Engineer

Staff Machine Learning Engineer (London)

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.