Senior AI Scientist: NLP, LLMs & RAG | Hybrid UK

RX Brasil; Greater London; Hybrid; GBP 65,000 - 95,000; Full time

Job summary

Elsevier is seeking a Senior Data Scientist I to design and deliver advanced AI, NLP, and generative AI solutions that power knowledge discovery and decision support. You will work with large scientific datasets, apply modern ML and LLM-based approaches, and collaborate across teams to deploy production-ready solutions.

The role emphasizes building scalable AI workflows, evaluating models, and mentoring others, with a hybrid London/Oxford pattern and a strong focus on impact for researchers and

Qualifications

• Experience designing and delivering AI/ML, NLP, and generative AI solutions for knowledge discovery.
• Strong Python skills and solid ML fundamentals.
• Experience with RAG, semantic/vector/hybrid search and evaluation methods.

Responsibilities

• Design, build, and evaluate AI/ML, NLP, and generative AI solutions for scientific knowledge discovery.
• Develop LLM-powered workflows and RAG systems for search, summarization, QA, and insight generation.
• Build retrieval, ranking, recommendation, and decision-support features using modern AI techniques.
• Integrate scientific metadata and ontologies into scalable AI workflows.
• Establish evaluation, experimentation, and monitoring for quality and reliability.
• Write production-ready Python code and collaborate with engineers to deploy at scale.
• Provide technical leadership and mentoring to support delivery and improvement.

Skills

Data science

AI/ML

NLP

Information retrieval

LLMs

Python

Experimentation

Cloud platforms

Education

Bachelor's degree in a quantitative field

Tools

ML frameworks

TensorFlow/PyTorch

RAG tooling

Vector search

LLM platforms

Job description

Elsevier is seeking a Senior Data Scientist I to design and deliver advanced AI, NLP, and generative AI solutions that power knowledge discovery and decision support. You will work with large scientific datasets, apply modern ML and LLM-based approaches, and collaborate across teams to deploy production-ready solutions.

The role emphasizes building scalable AI workflows, evaluating models, and mentoring others, with a hybrid London/Oxford pattern and a strong focus on impact for researchers and