Description

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