Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
€87к-145к/год
€110к€150кмедиана€210к
По похожим ролям (50) ~ €150к/год
На СНГ рынке: $4.2к/мес ($3.5к - $5.1к)
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Отличная вакансия
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Чётко очерченная роль principal-уровня сочетает техническое лидерство с практической поддержкой решений в современных AI, NLP и поиске, а также включает явные меры поддержки благополучия; основной компромисс - кодинг будет лишь эпизодическим.
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Мало практикиСовременный AI-стекНа стыке наукиПоддержка баланса
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Principal Data Scientist I (AI/NLP & Generative AI): Setting technical direction and governance for AI, NLP, generative AI, retrieval, and recommendation solutions across life sciences data science teams with an accent on LLM workflows, RAG systems, scientific metadata, and production quality. Focus on defining shared standards, evaluating model risk and reliability, guiding architecture, and translating complex technical decisions for senior stakeholders.
Location: London Wall, United Kingdom; other location: Amsterdam, Netherlands
Salary: €86,900–€144,600 base pay when performed in NLD Amsterdam (Radarweg)
Company
hirify.global provides information, analytics, and data products supporting scientific research, healthcare, health education, and clinical practice.
What you will do
Set technical direction and architectural standards for AI/ML, NLP, generative AI, LLM-powered workflows, RAG, retrieval, ranking, and recommendation solutions.
Guide the integration of scientific metadata, ontologies, taxonomies, and knowledge assets into reusable AI workflow patterns.
Review code, architecture, and technical decisions, providing hands-on support for high-priority or high-risk work.
Define shared quality, evaluation, monitoring, governance, and compliance frameworks across data science teams.
Mentor multiple teams, harmonize tooling and delivery practices, and represent data science in senior management and governance meetings.
Translate business priorities, risks, and complex technical challenges into practical technical direction.
Requirements
Significant experience in data science, AI, machine learning, NLP, information retrieval, or a related field, including senior- or principal-level experience.
Strong hands-on experience building AI/ML, NLP, generative AI, and retrieval-based systems.
Expertise with LLMs, including fine-tuning, prompt engineering, grounding strategies, and responsible AI practices.
Experience defining technical standards, evaluation frameworks, or governance processes across multiple teams.
Working knowledge of AI governance, model risk, and compliance requirements.
Strong Python skills and solid machine learning fundamentals.
Experience with large-scale text or content-rich datasets and modern AI/ML frameworks.
Experience with RAG, semantic, vector, or hybrid search, and experimentation approaches measuring user impact.
Familiarity with cloud platforms and modern software engineering practices.
Excellent communication and stakeholder management skills, including representing technical work to senior and non-technical audiences.
Strong mentoring and leadership skills, with experience influencing and coordinating across multiple teams.
Culture & Benefits
Flexible working hours allow adjustments during the day to work during the most productive times.
Focus on work-life balance and wellbeing initiatives.
Shared parental leave, study assistance, and sabbaticals are available.
Benefits are provided according to the employee's country of location.
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