Machine Learning Engineer II in London

Machine Learning Engineer II in London

London Full-Time 48000 - 72000 ÂŁ / year (est.) No home office possible
American Express Global Business Travel

At a Glance

  • Tasks: Design and optimise intelligent systems using cutting-edge AI techniques.
  • Company: Join Amex GBT, a leader in revolutionising business travel with innovative technology.
  • Benefits: Enjoy flexible benefits, travel perks, and access to 20,000+ courses for personal growth.
  • Why this job: Make a real impact by solving global challenges with AI in a collaborative environment.
  • Qualifications: 6+ years of experience or 3+ years with a master's degree in relevant fields.
  • Other info: Inclusive culture that values your voice and offers excellent career development opportunities.

The predicted salary is between 48000 - 72000 ÂŁ per year.

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 at the center of revolutionizing business travel with our cutting‑edge technology and the most desirable products in the industry. We’re a global, product‑focused AI team with hubs in Bellevue, Chicago, Paris, London, Gurgaon, and now extending to Manchester. Since 2017, we’ve been delivering AI systems at scale – from ranking models and savings optimization engines to client‑facing LLM‑powered experiences used by business travelers worldwide.

We are looking for a Machine Learning Engineer II 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 Be Doing:

  • Utilize AI techniques, including machine learning, deep learning, generative AI, and statistical modeling, to develop and implement solutions for tackling real‑world problems such as ranking, chatbot, intent recognition, agentic AI systems, recommender systems, computer vision, NLQ etc.
  • Apply strong coding skills, analytical abilities, and innovative thinking to quickly understand new domains and transform creative ideas into functional solutions.
  • 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 that answer complex business questions in a pragmatic approach.
  • 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:

  • 6+ years of experience with a bachelor’s degree or equivalent, or 3+ years with a master’s degree or equivalent.
  • Proven ability to conceptualize business problems and solve them through data science solutions.
  • Proven knowledge of AI techniques such as Bayesian methods, Clustering, Ensemble tree models, NLP, etc., 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.
  • Industry experience in leveraging AI techniques on real‑world large data sets.
  • Understanding of the concepts and steps involved in working with real‑world large data sets: from domain‑specific problem understanding, data preparation, travel‑related data processing, feature engineering, data structures for ML, data pipelining, modeling, offline evaluation, online evaluation, and monitoring.
  • 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 concepts.
  • Comfortable with data cleansing using SQL and PySpark.
  • Good written and oral communication skills, including the ability to communicate across business areas and increase overall knowledge across the organization.
  • 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.

Location: Manchester, United Kingdom

The #TeamGBT Experience:

  • 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.

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.

Machine Learning Engineer II in London employer: American Express Global Business Travel

Amex GBT is an exceptional employer that fosters a collaborative and inclusive culture, empowering employees to make a meaningful impact in the travel industry through innovative AI solutions. With flexible benefits tailored to individual needs, extensive learning opportunities, and a commitment to diversity, colleagues can thrive both personally and professionally in our Manchester hub. Join us to be part of a global team dedicated to revolutionising business travel while enjoying unique travel perks and career growth.
American Express Global Business Travel

Contact Detail:

American Express Global Business Travel Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Machine Learning Engineer II in London

✨Tip Number 1

Network like a pro! Reach out to current employees at Amex GBT on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for landing the Machine Learning Engineer II role.

✨Tip Number 2

Prepare for technical interviews by brushing up on your coding skills and AI techniques. Practice solving real-world problems using Python and popular ML libraries. We recommend doing mock interviews with friends or using online platforms to get comfortable.

✨Tip Number 3

Showcase your passion for AI and problem-solving during interviews. Share specific examples of projects you've worked on, especially those involving large data sets or innovative solutions. This will help you stand out as a candidate who truly cares about making an impact.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the Amex GBT team and contributing to our mission.

We think you need these skills to ace Machine Learning Engineer II in London

Machine Learning
Deep Learning
Generative AI
Statistical Modelling
Python
Data Science Methods
Natural Language Processing (NLP)
Bayesian Methods
Clustering
Ensemble Tree Models
Feature Engineering
Data Pipelining
MLFlow
AWS SageMaker
MLOps

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Machine Learning Engineer II role. Highlight your experience with AI techniques, coding skills, and any relevant projects you've worked on.

Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about solving real-world problems with AI. Share specific examples of how you've tackled challenges in previous roles and how you can contribute to our team.

Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with Python and popular ML libraries like TensorFlow or PyTorch. We want to see how you’ve applied these skills in practical scenarios, so be specific!

Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!

How to prepare for a job interview at American Express Global Business Travel

✨Know Your AI Techniques

Make sure you brush up on your knowledge of AI techniques like Bayesian methods, NLP, and ensemble tree models. Be ready to discuss how you've applied these in real-world scenarios, as this will show your practical understanding and ability to solve complex problems.

✨Showcase Your Coding Skills

Since strong coding skills are a must, be prepared to demonstrate your proficiency in Python and popular libraries like scikit-learn and TensorFlow. You might even want to bring along a project or two that highlights your coding prowess and problem-solving abilities.

✨Communicate Clearly

You’ll need to explain complex data science topics simply and clearly. Practice articulating your thoughts on technical subjects so that even non-technical stakeholders can understand. This will showcase your communication skills and your ability to collaborate across teams.

✨Understand the Business Impact

Be ready to discuss how your work with machine learning can drive measurable business impact. Think about specific examples where your solutions have led to actionable insights or improvements, as this will demonstrate your ability to connect technical work with business goals.

Machine Learning Engineer II in London
American Express Global Business Travel
Location: London

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