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Similar roles pay £95K - 130K a year · our estimate
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Sign Up to ReadThe team builds document intelligence features for the company's submission products, which support millions of interactions each year between researchers, editors, reviewers and publishers.
The team combines data science models and LLMs to turn complex, unstructured documents into structured, reliable, reusable data that submission and editorial tools can act on.
This is a senior software engineering role building services for document transformation, metadata extraction, content enrichment and entity recognition across scientific content at scale.
The work sits where software engineering, data engineering and AI meet, on problems involving millions of research documents.
The stack includes AWS, event-driven architecture, microservices, data science and AI/LLM capabilities, aimed at reliable, secure and highly scalable services.
Projects range from automating manual editorial steps to content discovery and new AI-driven features across the submission portfolio.
Working hours are flexible, so you can choose when in the day you work.
Benefits vary by country.
The company is committed to a fair and accessible hiring process and will make adjustments for candidates with disabilities or other needs on request.
From the office
Elsevier
Offices in Oxford, United Kingdom, United Kingdom
Also hiring in London, United Kingdom, Amsterdam, Netherlands, Netherlands and 10 more places
5 of their 67 open roles are remote
Worth a look before you spend an evening tailoring a CV for it.
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€56,400 - 94,200 / year
$188,500 - 282,700 / year