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Senior Manager, Data Science (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Manager, Data Science (AI): Leading AI and data science strategy and developing knowledge-discovery systems across machine learning, NLP, search, recommendation, and generative AI with an accent on LLMs, RAG, semantic search, and production AI. Focus on guiding technical teams, establishing evaluation and responsible AI frameworks, and aligning scalable AI systems with product and customer outcomes.

Location: UK - London (London Wall)

Company

hirify.global is a global information and analytics company supporting research, healthcare, science education, and clinical practice through high-quality information, data, and technology.

What you will do

  • Define AI and data science strategy across machine learning, NLP, search, recommendation, experimentation, and generative AI.
  • Lead and develop high-performing data science and AI teams through coaching, prioritization, scientific rigor, and inclusive collaboration.
  • Deliver knowledge-discovery systems across the full lifecycle, from experimentation through production, including LLMs, RAG, search, and domain-enriched AI.
  • Establish evaluation frameworks, quality metrics, experimentation practices, and responsible AI standards.
  • Partner with product, technology, and business leaders to shape roadmaps and align technical work with customer and business outcomes.

Requirements

  • Significant experience in data science, AI/ML, NLP, information retrieval, statistics, or a related quantitative field.
  • Strong expertise in machine learning, experimentation, deep learning, generative AI, and production AI systems.
  • Hands-on experience with LLMs, RAG, semantic search, embeddings, agentic workflows, and knowledge-driven systems.
  • Proven success leading and developing technical teams in complex product, platform, or research environments.
  • Experience working with large, complex datasets and building scalable, maintainable, production-ready AI/ML systems.
  • Strong people leadership, prioritization, communication, and stakeholder management skills.

Culture & Benefits

  • Flexible working hours to support productivity and work-life balance.
  • Wellbeing initiatives and country-specific benefits.
  • Shared parental leave, study assistance, and sabbaticals.
  • A collaborative culture built around trust, respect, agility, and quality.

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