NLP & LLM Engineer — Search & Retrieval at Scale (Hybrid)

Opus Recruitment Solutions; Greater London; Hybrid; GBP 99,000 - 121,000; Full time

Benefits offered by this job

25 days holiday

Hybrid working model

Support for ongoing development

Job summary

Opus Recruitment Solutions is seeking a Machine Learning Engineer in London for a hybrid role, offering a salary of up to £110k. The engineer will help navigate and analyze complex legal text using advanced machine learning techniques.

The position involves optimizing search systems and improving data retrieval workflows. Candidates should have Python and NLP experience, with responsibilities including designing LLM-powered pipelines and contributing to scalable ML infrastructure.

Additional perks include 25 days of holiday and support for ongoing development.

Qualifications

• Experience building and deploying ML systems in production.
• Background in NLP and/or LLM-based applications.
• Strong Python skills in a commercial environment.

Responsibilities

• Improve relevance and ranking across large-scale search systems.
• Design and optimize LLM-powered pipelines.
• Work with hybrid and vector-based retrieval approaches.
• Develop NLP components for structured and unstructured text.
• Contribute to scalable ML infrastructure and cloud-based pipelines.

Skills

Python

NLP

LLM

Machine Learning

Elasticsearch

OpenSearch

PyTorch

Tensorflow

AWS

Job description

Opus Recruitment Solutions is seeking a Machine Learning Engineer in London for a hybrid role, offering a salary of up to £110k. The engineer will help navigate and analyze complex legal text using advanced machine learning techniques.

The position involves optimizing search systems and improving data retrieval workflows. Candidates should have Python and NLP experience, with responsibilities including designing LLM-powered pipelines and contributing to scalable ML infrastructure.

Additional perks include 25 days of holiday and support for ongoing development.