Machine Leaning Developer AI &Python

Machine Learning Developer (Document AI & NLP)

Duration: 6-month contract (FTC/Subcon) role
Hybrid 3 days onsite

Location:

Sheffield

You will design and build Python-based ML and OCR components, taking ownership of the full lifecycle—from initial requirement gathering with stakeholders to deployment and production support.

• Model Development:
  Build and iterate on models for content extraction and classification.
• End-to-End Delivery:
  Support the full software development lifecycle (SDLC), including testing, deployment, and API resilience.
• Collaboration:
  
  Work closely with Product Managers and technical teams to translate business needs into scalable AI solutions.
• Innovation:
  Continuously test and improve existing features using traditional ML and Generative AI.

• Azure Machine Learning:
  Proven experience within the Azure ecosystem.
• Document AI:
  Strong background in Intelligent Document Processing (IDP) using both traditional and Generative AI (specifically open-source models).
• Python Expert:
  Deep proficiency in Python for production-level Machine Learning and NLP.

• ML/DL:
  Tensor Flow, PyTorch, or Hugging Face.
• Processing:
  OpenCV, Spacy, Regex, and OCR technologies.
• Dev Ops/Security:
  Experience delivering secure, resilient code and managing APIs.

• Knowledge of Postgre
  
  SQL for data management.
• Experience with Azure Kubernetes Service (AKS), Azure CLI, and Azure Dev Ops.
• Experience in high‑cadence production environments.

Randstad Technologies is acting as an Employment Business in relation to this vacancy.