Machine Learning Engineer II

Machine Learning Engineer II

Full-Time 48000 - 72000 £ / year (est.) No working from home 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.
  • Other info: Inclusive culture that values your voice and offers excellent career development opportunities.
  • 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.

The predicted salary is between 48000 - 72000 £ 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 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. Located in Manchester, the company offers flexible benefits tailored to individual needs, extensive learning opportunities with access to over 20,000 courses, and unique travel perks that enhance both personal and professional growth. Join us to be part of a global team dedicated to revolutionising business travel while championing diversity and inclusion.

American Express Global Business Travel

Contact Details:

American Express Global Business Travel Recruitment Team

StudySmarter Expert Advice🤫

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

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 a role in the Product AI Engineering team.

Tip Number 2

Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss machine learning concepts, coding challenges, and real-world applications of AI techniques. Practice explaining complex topics in simple terms, just like you would to a non-technical friend.

Tip Number 3

Show your passion for travel and AI! During interviews, share how your interests align with Amex GBT's mission. Talk about any personal projects or experiences that demonstrate your problem-solving skills and innovative thinking in the AI space.

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 being part of the Amex GBT family. Good luck!

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

Machine Learning
Deep Learning
Generative AI
Statistical Modelling
Python
Data Manipulation
Natural Language Processing (NLP)

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. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!

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 understanding and experience in tackling 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

Practice explaining complex data science concepts in simple terms. You'll need to communicate effectively with various stakeholders, so being able to break down your work for non-technical audiences is key. Think about examples where you've done this successfully in the past.

Understand the Business Impact

Be ready to discuss how your work can drive measurable business impact. Familiarise yourself with the specific challenges faced by Amex GBT in the travel industry and think about how your skills can contribute to solving those issues. This shows you're not just technically skilled but also business-savvy.