Senior Java ML Engineer for Semantic Search & NLP

Luxoft; United Kingdom; Remote; GBP 60,000 - 80,000; Full time

Job summary

A leading IT consultancy in the United Kingdom is seeking an experienced Data Scientist/Machine Learning Engineer to modernize an eCommerce platform for a major retail client. The role requires strong expertise in Java, Python, and information retrieval technologies like Lucene and Solr. Ideal candidates will have a deep understanding of NLP techniques and experience deploying ML systems in production environments.

Qualifications

• 5+ years of experience in Data Science or Machine Learning Engineering, focusing on Information Retrieval or Semantic Search.
• Strong programming experience in both Java and Python.
• Deep knowledge of Lucene, Apache Solr, or Elasticsearch.
• Experience with Vector Databases and Semantic Search techniques.
• Strong understanding of NLP techniques.
• Experience deploying and maintaining ML/search systems in production.
• Solid understanding of software engineering best practices.

Responsibilities

• Design, develop, and optimize search solutions leveraging Lucene/Solr and modern embeddings.
• Apply machine learning techniques to improve search relevance.
• Develop scalable data pipelines and APIs.
• Integrate ML models into production systems.
• Evaluate and monitor search performance metrics.
• Collaborate with software engineers and data engineers.

Skills

Data Science

Machine Learning

Information Retrieval

Semantic Search

Java

Python

NLP techniques

Tools

Lucene

Apache Solr

Elasticsearch

Vector Databases

Spring Boot

FastAPI

AWS

Azure

GCP

Kubernetes

Docker

Job description

A leading IT consultancy in the United Kingdom is seeking an experienced Data Scientist/Machine Learning Engineer to modernize an eCommerce platform for a major retail client. The role requires strong expertise in Java, Python, and information retrieval technologies like Lucene and Solr. Ideal candidates will have a deep understanding of NLP techniques and experience deploying ML systems in production environments.