London, United Kingdom
Live, first seen by us 15 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Develop and deploy ML, deep learning and generative AI solutions
Manipulate large data sets to produce business insights and actionable solutions
Build analyses, ML models and compound AI systems
Explain complex data science topics to partners and senior leadership
Collaborate with a global team across continents on project goals
Utilize AI techniques, including machine learning, deep learning, generative AI, and statistical modeling, to develop and implement solutions
Manipulate large data sets for business insights and drive actionable solutions.
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.
Strong knowledge of hands-on practice in Python.
Good understanding of LLMs, guardrails, RAG, agentic AI.
Proven knowledge of AI techniques with an excellent grasp of statistical concepts and methods.
Familiarity with popular machine learning libraries and frameworks such as scikit-learn, Hugging Face, PyTorch and TensorFlow.
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.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 15
Similar jobs usually come down between day 6 and day 70.
At Travelhrportal, jobs usually come down by about day 27.
From 4,444 similar postings that came down, and 34 of Travelhrportal’s. Coming down is not always a hire.
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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.
- 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. #AmexGBTJobs
- 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.
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New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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 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:
What We’re Looking For
#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 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.
Click Here 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 Amex GBT Recruitment Privacy Statement.
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!
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London, United Kingdom
Working pattern and location restrictions need checking in the full posting.
- 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. Click Here for Additional Disclosures in Accordance with the LA County Fair Chance Ordinance.