Machine Learning Engineer – Document AI (Generative AI & OCR Focus)

Summary: The Machine Learning Engineer – Document AI role focuses on developing and implementing machine learning solutions with an emphasis on Document AI, Generative AI, and OCR technologies. The position requires strong hands-on experience in delivering ML solutions in Python, along with expertise in various machine learning frameworks and tools. The role is based in Sheffield and offers a hybrid working arrangement, requiring 2-3 days per week in the office. Candidates should also have a demonstrated focus on cybersecurity and application resilience in production environments.

Key Responsibilities:

• Develop and implement machine learning solutions for Document AI and Intelligent Document Processing (IDP).
• Utilize traditional machine learning models and Generative AI techniques.
• Deliver ML solutions to production using Python.
• Work with machine learning, deep learning, NLP, image processing, and OCR technologies.
• Utilize tools/frameworks such as TensorFlow, PyTorch, Hugging Face, SpaCy, OpenCV, and Regex.
• Focus on cybersecurity and application resilience in production environments.
• Manage data storage and processing with PostgreSQL.
• Utilize Azure cloud services, including Azure VMs, Azure CLI, AKS, and Azure DevOps.

Key Skills:

• Machine learning
• Cybersecurity
• PostgreSQL
• Intelligent Document Processing
• Generative AI
• Azure

Salary (Rate): undetermined

City: Sheffield

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT