At a Glance
- Tasks: Develop cutting-edge NLP solutions and tackle exciting language AI challenges.
- Company: Join a leading AI research team pushing the boundaries of language understanding.
- Benefits: Competitive salary, performance bonuses, hybrid work, and generous annual leave.
- Other info: Engage in regular research seminars and access GPU resources for personal projects.
- Why this job: Make a real impact in NLP while collaborating with top experts in the field.
- Qualifications: 3+ years in NLP, strong Python skills, and experience with large language models.
The predicted salary is between 70000 - 90000 £ per year.
Develop state-of-the-art natural language processing solutions.
About the Role
As an NLP Engineer, you'll develop cutting‑edge natural language processing solutions for enterprise clients across industries.
From fine‑tuning large language models to building information extraction pipelines and conversational AI systems, you'll work on some of the most exciting problems in applied NLP.
This role combines deep technical expertise with practical engineering to deliver production‑ready language AI.
- Develop and fine‑tune LLMs for domain‑specific applications (legal, medical, financial)
- Build information extraction, NER, and relation extraction pipelines
- Design and implement conversational AI and chatbot systems
- Develop text classification, sentiment analysis, and topic modelling solutions
- Create evaluation frameworks for NLP model quality and robustness
- Optimise models for inference speed and cost (quantisation, distillation, pruning)
- Stay current with NLP research and evaluate new techniques for client applications
Requirements
- 3+ years of experience in NLP or computational linguistics
- Strong proficiency in Python with Hugging Face Transformers and Py Torch
- Experience fine‑tuning large language models (BERT, GPT, T5, LLa MA families)
- Understanding of NLP fundamentals: tokenisation, embeddings, attention mechanisms
- Experience with text preprocessing, feature engineering, and evaluation metrics
- Familiarity with RAG architectures and vector databases (Pinecone, Weaviate, Chroma)
- MSc or Ph D in NLP, Computational Linguistics, or related field
- Nice to Have
Experience with multi‑lingual NLP and cross‑lingual transfer Familiarity with speech‑to‑text and multi‑modal language models Experience with prompt engineering and LLM orchestration (Lang Chain, Llama Index) Published papers at ACL, EMNLP, NAACL, or EACL Experience with annotation tools and active learning for NLP
- Competitive salary with annual performance bonus
- £2,000 annual conference and learning budget
- Private healthcare and dental cover
- Hybrid working — flexible office/remote split
- 30 days annual leave plus bank holidays
- Access to GPU compute for personal research projects
- Regular NLP reading group and research seminars
- About the Team
Our NLP team is a specialised group within AI Research, focused on pushing the boundaries of language understanding.
We work on everything from enterprise search and document intelligence to conversational AI and content generation.
Our team members have published at ACL and EMNLP, and we maintain close ties with the academic NLP community.
#J-18808-Ljbffr
