Machine Learning Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Machine Learning Engineer (AI): Developing and optimizing intelligent systems for travel-related products with an accent on the full model lifecycle, from data processing to deployment. Focus on building and scaling agentic AI, LLM-powered experiences, and ranking models to deliver measurable business impact.
Location: London or Manchester, UK (hybrid)
Company
A global leader in business travel, leveraging cutting-edge technology and a product-focused AI team to revolutionize the industry.
What you will do
- Design, build, and deploy ML models and compound AI systems for ranking, intent recognition, and agentic workflows.
- Manage the full ML lifecycle from raw data preparation and feature engineering to production deployment and monitoring.
- Collaborate with global cross-functional teams to solve complex business problems using AI and statistical methods.
- Apply data-driven decision-making and manipulate large datasets using SQL and PySpark.
- Communicate complex technical concepts and model insights to non-technical partners and leadership.
Requirements
- 6+ years of experience with a bachelor’s degree, or 3+ years with a master’s degree.
- Strong proficiency in Python and ML frameworks like PyTorch, TensorFlow, or scikit-learn.
- Solid understanding of LLMs, RAG, agentic AI, and statistical modeling techniques.
- Experience working with large real-world datasets and data pipelining.
- Familiarity with MLOps concepts, AWS, and data cleansing using SQL/PySpark.
Nice to have
- Experience with MLFlow, AWS SageMaker, and Bedrock.
- Infrastructure knowledge (Kubernetes) and cloud cost-awareness.
- Experience with feature stores and model-as-a-service architectures.
Culture & Benefits
- Flexible benefits plans including health insurance and retirement programs.
- Exclusive travel perks and discounts on flights, hotels, and rentals.
- Extensive professional development with access to 20,000+ learning courses.
- Inclusive global culture with internal community groups and initiatives.
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