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# Machine Learning Engineer / Applied Scientist (NLP / LLMs / Search) London(Hybrid) | Up to £110k

- **Company:** Opus Recruitment Solutions
- **Location:** Greater London, UK
- **Salary:** £110,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Automated Storage and Retrieval Systems, Elasticsearch, Python (Programming Language), Machine Learning, Tensorflow, Search Technologies, Working Model 2D, Pytorch, Large Language Models, Machine Learning Operations
- **Published:** August 26, 2026
- **Apply:** https://www.collegerecruiter.com/job/2815064403-machine-learning-engineer--applied-scientist-nlp--llms--search-londonhybrid--up-to-110k

## About the Role

* Have experience building and deploying ML systems in production
 * Bring a background in NLP and/or LLM-based applications
 * Are comfortable working with search or retrieval systems
 * Have strong Python skills in a commercial environment
 * Can take ownership of technical decisions and direction

## Description

Machine Learning Engineer / Applied Scientist (NLP / LLMs / Search) London (Hybrid) | Up to £110k

Python | NLP | LLM | Machine Learning | Elasticsearch | OpenSearch | PyTorch | Tensorflow | AWS | RAG |

This is for a organisation is building a platform designed to help users navigate and analyse large volumes of complex technical and legal text using a combination of machine learning, search technologies and LLM-driven approaches.

They are looking for someone to play a key role in shaping how their systems retrieve, rank and interpret data at scale. The position sits across applied machine learning, NLP and search, with a strong focus on modern LLM-driven workflows.

The role is hands-on but also carries significant ownership, with responsibility for influencing technical direction across areas such as semantic search, vector retrieval, ranking optimisation, and retrieval-augmented pipelines.

Responsibilities include:

 * Improving relevance and ranking across large-scale search systems
 * Designing and optimising LLM-powered pipelines
 * Working with hybrid and vector-based retrieval approaches
 * Developing NLP components for structured and unstructured text
 * Contributing to scalable ML infrastructure and cloud-based pipelines

The environment is primarily Python-based, leveraging frameworks such as PyTorch or TensorFlow, search technologies like Elasticsearch/OpenSearch, and AWS for infrastructure.

They are interested in candidates who:

 * Have experience building and deploying ML systems in production
 * Bring a background in NLP and/or LLM-based applications
 * Are comfortable working with search or retrieval systems
 * Have strong Python skills in a commercial environment
 * Can take ownership of technical decisions and direction

The package offers a salary of up to £110k, 25 days holiday, and a hybrid working model (3 days onsite in London), along with flexibility and support for ongoing development.

Python | NLP | LLM | Machine Learning | Elasticsearch | OpenSearch | PyTorch | Tensorflow | AWS | RAG |


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