£100,000 Per year
Inside
Undetermined
London Area, United Kingdom
Summary: The AI Engineer role focuses on leveraging Python expertise to design and implement machine learning solutions aimed at extracting structured data from unstructured documents. The position requires collaboration with legal and technical teams to optimize model performance and integrate AI/ML tools into existing systems. Candidates must possess strong analytical skills and experience in NLP applications. This role is based in London and does not offer sponsorship.
Key Responsibilities:
- Identify and integrate AI/ML tools for automated document parsing.
- Build and maintain Python-based workflows for data pre-processing and extraction.
- Collaborate with legal and technical teams to align models with user needs.
- Optimize model performance for named entity recognition and classification tasks.
- Support deployment and integration into existing systems.
Key Skills:
- Proficient in Python and common ML/NLP libraries.
- Hands-on experience with NLP applications for document or text analysis.
- Skilled in named entity recognition (NER), text classification, and information extraction methods.
- Comfortable working in Agile environments and cross-functional teams.
- Strong analytical mindset and ability to solve complex technical problems.
- Familiarity with cloud ML platforms (AWS, Azure, or GCP).
Salary (Rate): £100,000.00 yearly
City: London
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
AI Engineer (Python) - London - £475 (PAYE)
I am hiring for an AI Engineer with strong Python expertise to design and implement machine learning solutions for extracting structured data from unstructured documents. The role involves selecting suitable AI/ML tools, developing processing pipelines, and fine-tuning models to improve document understanding and clause extraction.
Responsibilities:
- Identify and integrate AI/ML tools for automated document parsing.
- Build and maintain Python-based workflows for data pre-processing and extraction.
- Collaborate with legal and technical teams to align models with user needs.
- Optimize model performance for named entity recognition and classification tasks.
- Support deployment and integration into existing systems.
Requirements:
- Proficient in Python and common ML/NLP libraries
- Hands-on experience with NLP applications for document or text analysis.
- Skilled in named entity recognition (NER), text classification, and information extraction methods.
- Comfortable working in Agile environments and cross-functional teams.
- Strong analytical mindset and ability to solve complex technical problems.
- Familiarity with cloud ML platforms (AWS, Azure, or GCP).
Apply now for immediate consideration. No sponsorship available, must hold citizenship or ILR.