NLP Engineer
AI Platform and Research Natural Language Processing
£128,800–£224,000/year (£10,733–£18,667/month) — Negotiable
Team and product context
- Team
- AI Platform and Research
- Specialization
- Natural Language Processing
- Product family
- AI platform
Research, machine learning, language, vision, prompt engineering and data work across AI products.
Explore our products and servicesJob Description
Build language-processing systems for classification, extraction, summarisation, multilingual workflows, and customer-facing text automation. The work combines model selection, evaluation, and robust service implementation.
Requirements
- Practical NLP experience with transformer models and evaluation workflows
- Strong Python skills and familiarity with text datasets, tokenisation, and model debugging
- Experience with classification, entity extraction, summarisation, or retrieval workflows
- Ability to measure quality across languages and customer use cases
- Strong Python skills and familiarity with text datasets, tokenisation, and model debugging
- Experience with classification, entity extraction, summarisation, or retrieval workflows
- Ability to measure quality across languages and customer use cases
Responsibilities
- Implement NLP pipelines and model integrations for production services
- Build evaluations for text quality, accuracy, and regression detection
- Work with product and support teams on customer text-workflow issues
- Document model behaviour, limitations, and operational handover details
- Build evaluations for text quality, accuracy, and regression detection
- Work with product and support teams on customer text-workflow issues
- Document model behaviour, limitations, and operational handover details
Benefits
- Focus on real multilingual and production text workflows
- Work with API, retrieval, and model-serving teams
- Influence how language-model quality is measured and improved
- Work with API, retrieval, and model-serving teams
- Influence how language-model quality is measured and improved
How we hire
The sequence and format can vary by role.
Application
Initial review
Relevant assessments
Interviews
Decision
Offer and onboarding
Privacy and application documents
Submit only the information and documents requested for this role. For information on personal-data handling, read our Privacy Policy.
Read the Privacy Policy