Machine Learning Developer (Document AI & NLP)

Duration:6-month contract (FTC/Subcon) role

Hybrid 3 days onsite

Location:Sheffield

The Role

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.

Core Responsibilities

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.

Technical Requirements

Mandatory Skills:

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.Frameworks & Tools:

ML/DL: TensorFlow, PyTorch, or Hugging Face.
Processing: OpenCV, Spacy, Regex, and OCR technologies.
DevOps/Security: Experience delivering secure, resilient code and managing APIs.Nice to Have:

Knowledge of PostgreSQL for data management.
Experience with Azure Kubernetes Service (AKS), Azure CLI, and Azure DevOps.
Experience in high-cadence production environments.

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