drjobs Machine Learning Engineer NLP Specialist

Machine Learning Engineer NLP Specialist

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1 Vacancy
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Job Location drjobs

London - UK

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Machine Learning Engineer NLP Specialist

Location: London (Hybrid 1 day per week onsite)

Employment Type: Permanent

Salary:per annum

Benefits:

  • Private healthcare and wellbeing programme
  • 28 days annual leave plus bank holidays
  • Enhanced parental leave policies
  • Annual performancebased 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 stateoftheart 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 highspeed accurate search functionality.
  • Explore and implement advanced techniques such as RetrievalAugmented 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.
  • Handson 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.

Employment Type

Full Time

Company Industry

About Company

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