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10 дней назад

Principal Data Scientist (NLP + Applied AI)

59 100 - 84 633GBP
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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Описание вакансии

Текст:
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TL;DR
Principal Data Scientist (NLP + Applied AI) (Scientific NLP and Research Intelligence): Building production NLP enrichment pipelines over millions of scientific articles, extracting entities, classifications, claims, and summaries with an accent on model selection, evaluation, and scalable Python systems. Focus on comparing classical NLP, retrieval, and LLM approaches, managing high-volume workloads, and developing reliable pipeline stages for agentic AI applications.

Location: Remote, United Kingdom

Salary: £59,100–£84,633.33 per year

Company

hirify.global is a scientific, educational, and research publisher applying modern AI to a large corpus of trusted scholarly knowledge.

What you will do

  • Design and build production NLP enrichment pipelines for scientific full-text at scale.
  • Extract entities, classifications, claims, and summaries for downstream agentic applications.
  • Compare classical NLP, embeddings, retrieval, prompting, and fine-tuned models using evaluation, cost, and operational trade-offs.
  • Build golden evaluation sets, select metrics, and balance quality, speed, and cost.
  • Write production-quality Python and manage concurrency and cost for high-volume LLM workloads.
  • Collaborate with data engineers on reliable, idempotent, and retryable Airflow and Dagster pipeline stages.

Requirements

  • Several years of production Python experience at scale, including concurrency trade-offs between asyncio, threads, and queues.
  • Strong experience with modern and classical NLP, including LLMs, transformers, embeddings, retrieval, NER, classification, and sequence labeling.
  • Experience designing evaluations and using results to select approaches and manage performance drift.
  • Track record of shipping production systems that deliver value to users.
  • Ability to work with editors, product managers, engineers, and data engineers on modeling and product decisions.

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 running LLMs within production cost and latency budgets.
  • Exposure to agentic AI, tool use, multi-step reasoning, guardrails, and trajectory evaluation.

Culture & Benefits

  • Remote role within the United Kingdom.
  • Meeting-free Friday afternoons for focused work and professional development.
  • Continual learning and internal mobility opportunities.
  • Employee programs supporting community, learning, and growth.
  • Competitive compensation and a comprehensive benefits package.

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