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.
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