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

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

Posted 1 week ago by GIOS Technology

Negotiable
Undetermined
Hybrid
Sheffield, England, United Kingdom

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 Intelligent Document Processing and a proven ability to deliver ML solutions in Python. The role is based in Sheffield and offers a hybrid working arrangement, requiring 2-3 days per week in the office. Candidates should have expertise in various machine learning frameworks and a focus on cybersecurity in production environments.

Key Responsibilities:

  • Develop and implement machine learning solutions for Document AI and Intelligent Document Processing.
  • Utilize traditional machine learning models and Generative AI techniques.
  • Deliver ML solutions to production using Python.
  • Focus on cybersecurity and application resilience in production environments.
  • Work with tools/frameworks such as TensorFlow, PyTorch, Hugging Face, SpaCy, OpenCV, and Regex.
  • Manage data storage and processing using PostgreSQL.
  • Utilize Azure cloud services for deployment and management.

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

Detailed Description From Employer:

I am hiring for Machine Learning Engineer – Document AI (Generative AI & OCR Focus)

Location: Sheffield - Hybrid / 2-3 days Per Week in Office

Strong hands-on experience with Document AI and Intelligent Document Processing (IDP), using both traditional machine learning models and Generative AI. Proven track record of delivering ML solutions to production in Python. Expertise in machine learning, deep learning, NLP, image processing, and OCR. Proficiency in one or more of the following tools/frameworks: TensorFlow, PyTorch, Hugging Face, SpaCy, OpenCV, Regex, or equivalents. Demonstrated focus on cybersecurity and application resilience in production environments.

Nice to Have: Experience with PostgreSQL for data storage and management. Familiarity with Azure cloud services, including Azure VMs, Azure CLI, AKS (Azure Kubernetes Service), and Azure DevOps.

Key Skills: Machine learning / Cybersecurity / PostgreSQL / Intelligent Document Processing / Generative AI / Azure