Machine Learning Engineer NLP Specialist

Eliden; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

An established industry player is seeking a talented Machine Learning Engineer NLP Specialist to join their innovative AI team. In this exciting role, you will design and implement cutting-edge Natural Language Processing models that enhance search capabilities and information extraction. You will tackle complex data challenges and contribute to the development of advanced AI systems. If you are passionate about pushing the boundaries of technology and enjoy working in a dynamic environment, this opportunity is perfect for you. Join a team where your expertise will drive significant advancements in AI and NLP.

Benefits

Private healthcare and well-being programme

28 days annual leave plus bank holidays

Enhanced parental leave policies

Annual performance-based bonus

Budget for personal development and certifications

Qualifications

• Erfahrung mit NLP-Frameworks wie Hugging Face und TensorFlow.
• Fortgeschrittene Python-Kenntnisse zur Entwicklung von ML-Pipelines.

Responsibilities

• Entwicklung fortschrittlicher NLP-Modelle für Textextraktion und -zusammenfassung.
• Analyse von Datensätzen zur Gewinnung wertvoller Erkenntnisse.

Skills

Natural Language Processing (NLP)

Python

Hugging Face

spaCy

TensorFlow

Large Language Models (LLMs)

Data Analysis

Tools

Azure AI

AWS

Google Cloud

Job description

About the job Machine Learning Engineer NLP Specialist

Employment Type: Permanent

• Private healthcare and well-being programme
• 28 days annual leave plus bank holidays
• Enhanced parental leave policies
• Annual performance-based bonus
• Budget for personal development and certifications

About the Role:

Our finance client is seeking a talented Machine Learning Engineer NLP Specialist to join their dynamic AI team. You will play a key role in designing and implementing advanced Natural Language Processing (NLP) models, enabling smarter systems to improve search, information extraction, and classification. If you enjoy solving complex data challenges in an environment where innovation is encouraged, this role is for you.

Key Responsibilities:

• Design and implement state-of-the-art NLP models for tasks such as entity extraction, text summarisation, and semantic understanding.
• Process and analyse diverse datasets, including structured text, tables, and images, to extract meaningful insights.
• Develop indexing and retrieval systems for high-speed, accurate search functionality.
• Explore and implement advanced techniques, such as Retrieval-Augmented Generation (RAG), to enhance AI capabilities.
• Conduct experiments to measure and improve the performance of NLP models.
• Build custom language models tailored to specific industry requirements.

What Were Looking For:

• Proven experience with NLP frameworks such as Hugging Face, spaCy, or TensorFlow.
• Hands-on experience working with Large Language Models (LLMs) and deploying them in production.
• Advanced Python skills, with the ability to develop and optimise machine learning pipelines.
• Experience working with large, unstructured datasets and designing scalable workflows.
• Familiarity with Azure AI, AWS, or Google Cloud for AI deployment.
• Bonus: Knowledge of advanced NLP techniques and RAG.