Work closely with the programmes and platform teams to help shape our research & development priorities
Develop, evaluate, and deploy state-of-the-art NLP models which extract structured information from climate-related documents
Help to build and deploy APIs which demonstrate new model capabilities
Contribute to building evaluation harnesses for search relevance, classifier accuracy, data quality
Implement approaches for data labelling or sampling to create training and evaluation datasets
Analyze real user search logs and behavioural analytics to describe journeys across our site
Research using LLMs to automate parts of the climate policy research process

Requirements

3-5 years experience tackling applied NLP problems with machine learning
Demonstrated ability to take ideas from proof-of-concept to working implementations
Excellent ability to write well tested, maintainable, version-controlled Python code
Strong working knowledge of applied machine learning techniques (both supervised and unsupervised)

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

NLPmachine learningPythonAPIsdata labelingevaluation harnessesclassifier accuracydata qualitysupervised learningunsupervised learning

Soft Skills

collaborationproblem-solvinganalytical thinkingcommunicationattention to detail