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

Opus Recruitment Solutions
Greater London, UK
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
£110,000.0
Working hours
Regular working hours

Tech stack

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

Job 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

Requirements

  • 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

Benefits & conditions

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.

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