Natural Language Processing Lead

3 weeks ago


London, Greater London, United Kingdom Tribal Tech - The Digital, Data & AI Specialists Full time
Natural Language Processing Lead

Tribal Tech is a leading provider of AI-driven solutions that transform complex documents into actionable insights. As a Natural Language Processing Lead, you'll play a critical role in developing cutting-edge NLP solutions for financial data extraction and analysis.

In this role, you'll be responsible for:
- Developing and implementing advanced NLP techniques to extract key insights from vast amounts of data in different formats.
- Collaborating with software engineers and domain experts to define project scope, analyze data, and integrate models into production environments.
- Conducting and documenting rigorous experiments to evaluate and improve model performance.
- Building and maintaining efficient and scalable data pipelines for data pre-processing, model training, and deployment.

You'll have the opportunity to work with a talented team of professionals who share your passion for NLP and AI. As a Natural Language Processing Lead, you'll be part of shaping the future of data extraction and driving business growth through innovative AI solutions.

Key Requirements:
- Master's in Computer Science, Data Science, or related field
- 5+ years of ML experience, with a focus on NLP, computer vision and document understanding
- Expertise in Python
- Experience with machine learning libraries and frameworks (Numpy, PyTorch, HuggingFace, OpenCV, scikit-learn, spaCy, NLTK, etc.).
- Proficiency with cloud platforms and ML pipeline tools
- Strong software engineering fundamentals

What We Offer:
- Competitive salary: $120,000 - $180,000 per year
- Opportunities for professional growth and development
- Collaborative and inclusive work environment
- Flexible remote work options

Apply Now:
If you're passionate about NLP and AI, and want to be part of shaping the future of data extraction, we encourage you to apply for this exciting opportunity.

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