1 of 1 Deep Learning Jobs in Lancaster

What You Will Do Design and implement scalable ML and deep learning models using PyTorch, TensorFlow, Scikit-learn, and other modern frameworks. Build and optimize RAG pipelines using models like GPT, Claude, or other LLMs integrated with document retrieval systems. Develop production-ready ML applications in cloud environments (AWS, SageMaker, Databricks, etc.). Leverage GPU-based computing resources … domain applications. Drive innovation in prompt engineering and generation pipelines for AI-assisted systems. Skills and Experience You Will Need Required: 5+ years of hands-on experience in machine learning, with at least 2 years focused on deep learning and LLM applications. Strong programming experience in Python and hands-on development of ML pipelines. Solid knowledge of … machine learning algorithms, statistics, and deep learning. Proven experience with PyTorch, TensorFlow, Scikit-learn, and transformer-based models. Practical knowledge of LLM integration (e.g., GPT, Claude) and RAG architecture. Experience with ML lifecycle management tools like AWS SageMaker, MLflow, or Databricks. Working knowledge of CUDA, Nvidia GPUs, and distributed training. Experience with AWS services (S3, Lambda, EC2, SageMaker More ❯