NLP Engineer

Dimensionalconsultingltd; Manchester; On-site; GBP 65,000 - 85,000; Full time

Benefits offered by this job

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

Job summary

Dimensionalconsultingltd in Manchester is seeking an experienced NLP Engineer to develop cutting-edge natural language processing solutions for enterprise clients. You will fine-tune language models and build information extraction pipelines.

The ideal candidate has over 3 years of experience in NLP, strong Python proficiency, and relevant education. The position offers a hybrid working model along with competitive benefits including a performance bonus and extensive annual leave.

Qualifications

• 3+ years of experience in NLP or computational linguistics.
• Strong proficiency in Python with Hugging Face Transformers and PyTorch.
• Experience fine-tuning large language models (BERT, GPT, T5, LLaMA families).

Responsibilities

• Develop and fine-tune LLMs for domain-specific applications.
• Build information extraction, NER, and relation extraction pipelines.
• Design and implement conversational AI and chatbot systems.

Skills

Python proficiency with Hugging Face Transformers

NLP fundamentals

Experience in computational linguistics

Fine-tuning large language models

Education

MSc or PhD in NLP, Computational Linguistics, or related field

Tools

PyTorch

Hugging Face Transformers

RAG architectures and vector databases

Job description

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 PyTorch
• Experience fine‑tuning large language models (BERT, GPT, T5, LLaMA 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 PhD 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 (LangChain, LlamaIndex) 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.