Senior Manager, Machine Learning Science (AI)

Location: London, City of, United Kingdom

Company

hirify.global is a global travel company connecting travelers, partners, and advertisers through consumer brands, B2B travel services, and travel advertising.

What you will do

• Manage, coach, and develop a high-performing team of data scientists and machine learning engineers.
• Set team goals, OKRs, technical priorities, and operating rhythms aligned with organizational strategy.
• Lead delivery across content generation, content moderation and quality, and content relevance.
• Guide end-to-end machine learning solutions across textual, video, and image content, with potential expansion into speech.
• Develop accurate, relevant, grounded, and non-hallucinating Content AI capabilities for travelers and partners.
• Partner with Product, Engineering, senior leadership, and cross-functional stakeholders to improve delivery and measurable outcomes.

Requirements

• 4–5+ years of people leadership experience managing machine learning scientists, applied scientists, data scientists, or multidisciplinary AI/ML teams.
• Master’s degree in computer science, machine learning, statistics, mathematics, or a related technical field, or equivalent professional experience.
• Significant experience with supervised and unsupervised learning, model evaluation, generalization, robustness, experimentation, and end-to-end production machine learning solutions.
• Experience with Python, Scala, Java, or another major machine learning language, plus SQL.
• Knowledge of software design principles, modular code, maintainability, and scalability, with strong stakeholder management and communication skills.
• Familiarity with large language models and translating business objectives into practical, iterative, and cost-aware technical approaches.

Nice to have

• PhD in a relevant technical field.
• Familiarity with LLMOps, model inference, and machine learning platform capabilities.
• Experience with GenAI, LLM fine-tuning, golden dataset construction, evaluation metrics, multimodal retrieval, embeddings, quantization, or LLM decoder architecture optimization.
• Experience with recommender systems or reinforcement learning.

Culture & Benefits

• Inclusive environment focused on feedback, knowledge sharing, professional development, and career growth.
• Work alongside Product, Engineering, senior leadership, and cross-functional partners.
• Support for accessible and inclusive recruiting experiences, including accommodation requests.
• Organizational values emphasize traveler focus, ownership, operational excellence, and collaboration.