AI/NLP Software Engineer - Python Data Pipelines (Flexible)

Elsevier; City Of London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

Elsevier is seeking a Software Engineer for SciBite to build and maintain Python-based data pipelines that integrate diverse scientific information sources. You will contribute to AI-enabled development practices and deliver production-ready data products enabling discovery from large unstructured datasets.

You will collaborate with senior engineers and teams across Elsevier to support curation, ontologies, and customer-facing solutions, while learning about broader business opportunities and

Qualifications

• Experience in software development, ideally Python.
• Teamwork and strong problem-solving skills.
• Academic background in life sciences or STEM fields is required.

Responsibilities

• Maintain and develop Python data pipelines.
• Support curation teams to update vocabularies and ontologies.
• Deliver and maintain customer-facing data solutions.
• Develop software to assist manual curation efforts.
• Develop and maintain automations across the estate.
• Learn about broader Elsevier businesses for potential collaborations.

Education

BSc/MSc/PhD in life sciences or STEM fields

Tools

pytest

GitHub

UNIX/CLI

SQL

Cloud environments

Python GUI

XML/ ontologies

Compute clusters

Version control

Workflow management

Job description

Elsevier is seeking a Software Engineer for SciBite to build and maintain Python-based data pipelines that integrate diverse scientific information sources. You will contribute to AI-enabled development practices and deliver production-ready data products enabling discovery from large unstructured datasets.

You will collaborate with senior engineers and teams across Elsevier to support curation, ontologies, and customer-facing solutions, while learning about broader business opportunities and