Contract Data Engineer - NLP, LLM

Future Talent Group; London; On-site; GBP 60,000 - 80,000; Part time

Job summary

A leading recruitment agency in London is seeking a highly skilled Contract Data Engineer to design and optimize data pipelines for NLP and LLM applications. Ideal candidates should have expertise in Natural Language Processing, Python, and SQL, along with experience in data engineering frameworks like PySpark and Airflow. This role involves working closely with data science teams to create scalable solutions in a cloud environment.

Qualifications

• Experience with Large Language Models (LLMs), including fine-tuning and prompt engineering.
• Proficiency in Python and data engineering frameworks.
• Strong knowledge of SQL and databases.

Responsibilities

• Design and maintain scalable data pipelines for NLP and LLM workloads.
• Build infrastructure to support training and deployment of LLM models.
• Develop ETL/ELT processes for structured and unstructured data.

Skills

Natural Language Processing (NLP)

Large Language Models (LLMs)

Python

SQL

Data Engineering frameworks

Tools

PySpark

Airflow

dbt

Kafka

AWS

GCP

Azure

Job description

This range is provided by Future Talent Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Overview

We are seeking a highly skilled Contract Data Engineer with proven expertise in Natural Language Processing (NLP) and Large Language Models (LLMs). The ideal candidate will be responsible for designing, building, and optimizing data pipelines and infrastructure to support NLP/LLM-driven applications and insights. You’ll work closely with our data science and ML teams to enable robust, scalable, and production-ready solutions.

Responsibilities

• Design, develop, and maintain scalable data pipelines for NLP and LLM workloads.
• Build and optimize data infrastructure to support training, fine-tuning, and deployment of LLM models.
• Work with cloud platforms (AWS, GCP, or Azure) to manage data and ML infrastructure.
• Develop and maintain ETL/ELT processes for structured and unstructured data.

Qualifications

• Experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, and integration.
• Proficiency in Python and common data engineering frameworks (e.g., PySpark, Airflow, dbt, Kafka).
• Strong knowledge of SQL and relational as well as NoSQL databases.

Employment type

• Contract

Job function

• Information Technology

Industries

• Staffing and Recruiting

We are not including location-based or time-based postings here. If you are interested, please contact Future Talent Group for more details about the role.