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Machine Learning Engineer III (AI)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
UK
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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TL;DR

Machine Learning Engineer III (AI): Designing, building, and optimizing intelligent systems for business travel with an accent on the full lifecycle from raw data to production models. Focus on solving real-world problems using ML, deep learning, and agentic AI systems to create measurable business impact.

Location: Must be based in the UK (hybrid in London or Manchester)

Company

Amex GBT is a global leader in business travel, leveraging cutting-edge technology and AI to provide innovative travel products and services.

What you will do

  • Develop and deploy AI solutions for ranking, chatbots, intent recognition, and recommender systems.
  • Own the full model lifecycle from data preparation and feature engineering to deployment and monitoring.
  • Structure work and frame complex business issues into pragmatic machine learning or compound AI systems.
  • Collaborate with global cross-functional teams to integrate data-driven insights into business processes.
  • Communicate complex technical concepts to non-technical partners and leadership stakeholders.
  • Implement and maintain robust MLOps practices for scalable AI delivery.

Requirements

  • 8+ years of relevant experience with a bachelor’s degree, or 5+ years with a master’s degree.
  • Deep understanding of AI techniques including Bayesian methods, clustering, NLP, and ensemble models.
  • Proven knowledge of modern AI stacks including LLMs, RAG, and agentic AI.
  • Strong proficiency in Python and familiarity with scikit-learn, PyTorch, or TensorFlow.
  • Hands-on experience with SQL, PySpark, and large-scale data manipulation.
  • Ability to work effectively in a hybrid environment within the UK.

Nice to have

  • Experience with MLFlow, AWS SageMaker, and Bedrock.
  • Familiarity with infrastructure tools like Kubernetes and AWS.
  • Previous experience with feature stores and model monitoring dashboards.

Culture & Benefits

  • Flexible benefits plans including health insurance and retirement programs.
  • Exclusive travel perks and discounts on flights, hotels, and rentals.
  • Access to an extensive learning platform with over 20,000 courses.
  • Inclusive team culture with active global INclusion groups.
  • Supportive work environment focused on professional development and career growth.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’