Machine Learning Engineer III in London

Machine Learning Engineer III in London

London Full-Time 43200 - 72000 £ / year (est.) No working from home possible
American Express Global Business Travel

At a Glance

  • Tasks: Collaborate with tech teams to solve real-world business problems and mentor rising talent.
  • Company: Join Amex GBT, a leading corporate travel management company revolutionising the industry with innovative technology.
  • Benefits: Enjoy flexible benefits, travel perks, skill development opportunities, and a supportive work culture.
  • Other info: Passionate candidates are encouraged to apply even if they don't meet every requirement.
  • Why this job: Be part of a dynamic team in a startup-like environment backed by a major corporation.
  • Qualifications: 2-3 years experience in software development, AWS knowledge, and proficiency in Java/Python and SQL.

The predicted salary is between 43200 - 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 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 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

  • 8 + years of experience with a bachelor’s degree or equivalent, or 5 + 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 concept.
  • 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.

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

Amex GBT is an exceptional employer that fosters a vibrant and inclusive work culture, where innovation in travel technology meets a supportive environment. With flexible benefits tailored to individual needs, extensive skill development opportunities, and a commitment to employee wellbeing, colleagues can thrive both personally and professionally. Located in London, the company offers the unique advantage of a startup atmosphere backed by a global leader, making it an ideal place for passionate technologists to make a meaningful impact.

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 III in London

Tip Number 1

Familiarise yourself with the latest trends in machine learning and data engineering. Being able to discuss recent advancements or tools like AWS, Kubernetes, and Sagemaker during your interview can demonstrate your passion and knowledge in the field.

Tip Number 2

Network with current employees at Amex GBT or similar companies. Engaging with them on platforms like LinkedIn can provide you with insights into the company culture and expectations, which can be invaluable during your interview.

Tip Number 3

Prepare to showcase your problem-solving skills through real-world examples. Think of specific challenges you've faced in previous roles and how you applied your technical expertise to overcome them, as this aligns well with the collaborative nature of the role.

Tip Number 4

Brush up on your coding skills in Java and Python, as well as SQL. Be ready to demonstrate your proficiency in these languages, as practical coding assessments may be part of the interview process.

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

Machine Learning
Data Integration
Software Design Principles
Cloud Technologies (AWS, Kubernetes)
Data Modelling
Schema Design
API Development

Some tips for your application 🫡

Understand the Role:Before applying, make sure you fully understand the responsibilities and requirements of the Machine Learning Engineer III position at Amex GBT. Tailor your application to highlight how your skills and experiences align with their needs.

Highlight Relevant Experience:In your CV and cover letter, emphasise your experience with data integration, machine learning platforms, and any relevant technologies like AWS and Kubernetes. Provide specific examples of projects where you've successfully applied these skills.

Showcase Soft Skills:Amex GBT values collaboration and mentorship. Make sure to include examples that demonstrate your ability to work well in teams, mentor others, and communicate effectively with diverse stakeholders.

Craft a Compelling Cover Letter:Use your cover letter to express your passion for the role and the company’s mission. Discuss why you want to work at Amex GBT and how you can contribute to their innovative approach to business travel.

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

Showcase Your Technical Skills

Be prepared to discuss your experience with programming languages like Java and Python, as well as your knowledge of AWS and data modelling. Bring examples of past projects where you've successfully applied these skills.

Demonstrate Problem-Solving Abilities

Amex GBT values collaborative problem-solving. Be ready to share specific instances where you partnered with others to tackle complex issues, particularly in the context of machine learning or data engineering.

Highlight Leadership and Mentorship Experience

Since the role involves mentoring rising talent, think of examples where you've guided others or taken on leadership responsibilities. This could be in a formal setting or through informal coaching.

Understand Their Business and Culture

Research Amex GBT's mission and values, especially their focus on travel as a force for good. Be prepared to discuss how your personal values align with theirs and how you can contribute to their inclusive and collaborative culture.