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6 дней назад

Senior Data Scientist (NLP + Applied AI)

44 200 - 63 400GBP
Формат работы
remote (только United_kingdom)
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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Текст:
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TL;DR
Senior Data Scientist (NLP + Applied AI) (NLP/AI): Building production NLP enrichment pipelines that transform millions of scientific articles into structured research intelligence, with an accent on entity extraction, classification, claim extraction, summarization, and evaluation. Focus on comparing classical NLP with LLM-based approaches, optimizing quality, cost, and latency, and contributing to agentic applications that reason over enriched scientific content.

Location: Remote, United Kingdom

Salary: £44,200–£63,400 per year

Company

hirify.global publishes scientific, educational, and research content and is applying modern AI to a large scholarly corpus.

What you will do

  • Design and build production NLP enrichment pipelines for millions of scientific articles.
  • Extract entities, classifications, claims, and summaries for downstream agentic applications.
  • Compare classical NLP, retrieval, embedding, prompting, and fine-tuned model approaches.
  • Build golden evaluation sets, select metrics, and balance quality, speed, cost, and operational performance.
  • Contribute to tool-using agentic AI systems that reason over enriched scientific content.
  • Work with editors, product managers, engineers, subject-matter experts, and vendors to turn modeling needs into product improvements.

Requirements

  • Strong experience with modern NLP, including LLMs, transformers, embeddings, and retrieval.
  • Experience with classical NLP approaches such as NER, classification, and sequence labeling.
  • Ability to design evaluations and use results to guide modeling decisions.
  • Strong Python skills across exploratory notebooks and production repositories.
  • Ability to compare approaches and justify choices using evaluation results and cost estimates.

Nice to have

  • Experience with scientific or scholarly text.
  • Familiarity with AWS services including S3, Batch, Lambda, and SageMaker.
  • Experience with Parquet or Iceberg data lake patterns.
  • Experience operating LLMs within production cost and latency budgets.
  • Exposure to agentic AI, tool use, multi-step reasoning, guardrails, and trajectory evaluation.

Culture & Benefits

  • Remote work within the United Kingdom.
  • Meeting-free Friday afternoons for focused work and professional development.
  • Continual learning and internal mobility programs.
  • Employee programs supporting community, learning, and growth.
  • Comprehensive benefits package and transparent compensation practices.

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