Machine Learning Engineer NLP Specialist
Eliden
- London, England, United Kingdom
- London, England, United Kingdom
À propos
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.
#J-18808-Ljbffr
Compétences linguistiques
- English
Avis aux utilisateurs
Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.