Senior AI & ML 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.
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.
