At a Glance
- Tasks: Design, build, and optimise intelligent systems using AI techniques.
- Company: Join Amex GBT, a leader in travel innovation with a collaborative culture.
- Benefits: Flexible benefits, travel perks, and access to 20,000+ courses for skill development.
- Other info: Inclusive environment with global collaboration and excellent career growth opportunities.
- Why this job: Make a real impact in AI while solving real-world problems at scale.
- Qualifications: 2+ years experience in AI, strong coding skills, and a passion for problem-solving.
The predicted salary is between 63000 - 77000 £ 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.
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 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 is a plus.
Location: London, United Kingdom
The #TeamGBT Experience:
- Flexible benefits tailored to each country starting the day you do, including health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and wellbeing resources.
- 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.
All applicants will receive equal consideration for employment without regard to age, sex, gender, pregnancy, 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.
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!
Machine Learning Engineer I in London employer: Global Business Travel Group
Global Business Travel Group is committed to fostering an inclusive and collaborative culture where employees can thrive. With a focus on innovation and strategic initiatives, the company provides ample opportunities for professional growth and development.
Contact Details:
Global Business Travel Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer I in London
✨Join Local Tech Meetups
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We think you need these skills to ace Machine Learning Engineer I in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Global Business Travel Group.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Global Business Travel Group and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
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How to prepare for a job interview at Global Business Travel Group
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Global Business Travel Group uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.