Staff NLP Engineer

Job description

Staff NLP Engineer – LLMs / Search / AI Systems

London (Hybrid – 2 days onsite)

£90,000 – £110,000 + Equity

I'm working with an AI-first technology platform transforming how complex intellectual property research is done using Natural Language Processing, Large Language Models and advanced search systems.

They were early adopters of LLMs and are now building agentic AI workflows capable of autonomously answering complex research questions.

They're looking for a Staff NLP Engineer to lead the development of their language and search systems.

The Role

You'll work on the core AI systems powering the platform, including:

• Improving search relevance and ranking (precision & recall)

• Designing LLM-powered NLP pipelines

• Developing language models and NLP systems for production

• Building and optimising large-scale search infrastructure

• Developing agentic LLM workflows for complex research tasks

• Contributing to the technical direction of NLP and data systems

This is a hands-on role with significant influence on the evolution of the company's AI capabilities.

What they're looking for

• Strong Python experience

• Commercial Natural Language Processing (NLP) experience

• Experience building production ML/NLP systems

• Experience with TensorFlow or PyTorch

• Experience with search technologies (Elasticsearch, OpenSearch etc.)

• Experience working with large datasets or language systems

Experience with LLMs or information retrieval systems would be beneficial.

Package

• £90,000 – £110,000 salary

• Stock option plan

• 25 days holiday

• Pension contributions

• Flexible working

• Ongoing learning & development

Apply or message me directly if you'd like to learn more.

Extra information

Status

Open

Education Level

Secondary School

Location

City of London

Type of Contract

Full Time Jobs

Published at

16-03-2026

Full UK/EU driving license preferred

No

Car Preferred

No

Must be eligible to work in the EU

No

Cover Letter Required

No

Languages

English