Senior Machine Learning Scientist (Personalization)

TL;DR

Senior Machine Learning Scientist (Personalization): Designing and developing real-time personalization engines for a global travel platform with an accent on recommendation, ranking, and retrieval systems. Focus on translating research into production-quality deep learning models, influencing technical direction, and mentoring team members to drive measurable business impact.

Location: London, United Kingdom (Hybrid)

Company

hirify.global is a global travel technology company powering travel experiences for millions of users through a diverse portfolio of brands.

What you will do

• Design and apply machine learning solutions to complex personalization and business problems.
• Drive end-to-end scientific work from problem formulation to production deployment.
• Partner with engineering and product teams to integrate ML models into scalable services.
• Improve model performance, reliability, and operational quality across multiple domains.
• Apply AI/ML concepts to real-world products and operate AI-driven systems.
• Contribute technical expertise through mentoring, documentation, and reusable approaches.

Requirements

• 8+ years of relevant professional experience in machine learning or related fields.
• Strong foundation in ML methods, statistical analysis, and experimentation.
• Proven ownership of ML solutions at the service or multi-service level.
• Hands-on coding experience in scientific and production-oriented environments.
• Experience collaborating with cross-functional partners to deploy technical solutions.
• Bachelor’s degree in Computer Science or a related technical field.

Nice to have

• Advanced degree in Machine Learning, Statistics, or a related quantitative field.
• Experience with neural recommendation systems, transformers, or generative retrieval.
• Expertise in foundation models, LLMs, and hybrid LLM-recommender systems.
• Track record of delivering ML solutions at scale with production monitoring.
• Academic publications, patents, or open-source contributions in the ML community.

Culture & Benefits

• Full benefits package including travel perks and generous time-off.
• Flexible work model with office presence.
• Supportive environment with parental leave and career development resources.
• Inclusive culture that celebrates diversity and fosters belonging.