Our client is seeking a Lead AI Engineer to join their dynamic team. As the market leader when it comes to offering a seamless, innovative, and fully paperless solution for the secure distribution and review of medical records, case documents, and radiology they are now expanding their offering by integrating machine learning and artificial intelligence to enhance their services. Key Responsibilities: Lead the design, implementation, and optimization of AI models focused on generative AI and classification tasks. Develop and fine-tune Large Language Models (LLMs) like GPT-4 for applications such as text generation and document classification. Utilize text embeddings for representation, similarity search, and NLP tasks. Architect and deploy AI solutions on Azure, leveraging services like Azure Machine Learning and Azure Cognitive Services. Manage workflows for LLM-driven applications using Prompt Flow. Collaborate with cross-functional teams to align AI solutions with business goals. Ensure scalability and efficiency in AI pipelines, following best practices in MLOps. Technologies Used: LLMs (e.g., GPT-4) Azure Machine Learning, Azure Cognitive Services Python, PyTorch, TensorFlow, Hugging Face Prompt Flow, MLOps Docker, Kubernetes What They’re Looking For: Expertise in LLMs and embeddings for NLP applications. Experience with generative AI models and classification tasks. Proficiency in Python and AI/ML libraries. Strong experience with Azure technologies and Prompt Flow. Knowledge of MLOps practices and container orchestration. A bonus: NHS experience Why Join? This remote role offers a competitive salary and sponsorship, including health insurance and a bonus scheme. You'll work in a supportive environment that values collaboration and personal growth while making a meaningful impact. If you’re ready to advance your career and be part of a transformative journey, apply today!