Senior Machine Learning/AI Engineer

AI/ML Engineer Contract – 6 Months Hybrid – Manchester/ London We are seeking a highly skilled AI Engineer to design, develop, and enhance AI-driven document generation systems using large language models (LLMs) and traditional machine learning algorithms . The ideal candidate will have expertise in AI, natural language processing (NLP), and Python programming , with hands-on experience in generative AI, cloud deployment, and CI/CD pipelines . This role requires proficiency in Streamlit , knowledge of Neo4j, RDF, or OWL , and experience working with Azure cloud services . Key Responsibilities AI & Machine Learning Development: Design, implement, and optimize AI-powered document generation systems using LLMs and ML models. NLP & Data Processing: Develop NLP-driven applications for text generation, summarization, and extraction. Cloud Deployment & Infrastructure: Deploy AI models and applications on Azure , ensuring scalability and reliability. Application Development: Build and maintain interactive AI applications using Streamlit . Knowledge Graphs & Semantic Technologies: Work with Neo4j, RDF, or OWL for knowledge representation and data modeling. CI/CD & MLOps: Implement CI/CD pipelines to automate model training, testing, and deployment. Collaboration & Best Practices: Work closely with cross-functional teams to integrate AI solutions into business workflows. Required Qualifications & Skills Strong experience in AI, NLP, and machine learning algorithms. Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Hugging Face. Hands-on experience with generative AI and LLM fine-tuning . Experience deploying AI applications on Azure (e.g., Azure ML, Azure Functions, Azure DevOps). Proficiency in Streamlit for building interactive AI applications. Knowledge of Neo4j, RDF, OWL , and semantic data technologies. Experience with CI/CD pipelines and MLOps for AI model deployment. Strong problem-solving and analytical skills with a focus on scalable AI solutions.