5 of 5 Remote PyTorch Jobs in Bath

Technical Skills 3+ years of experience in Machine Learning, Data Science, or related roles. Strong programming skills in Python. Experience with ML frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost. Solid understanding of ML algorithms, statistics, and evaluation metrics. Experience deploying ML models into production environments. Data & Engineering Skills Strong SQL skills ...

applied AI roles. Recent, demonstrable experience with LLMs, Generative AI, and/or RAG-based systems. Strong Python skills using frameworks such as PyTorch, TensorFlow, Hugging Face, or Google GenAI. Experience with vector databases and retrieval-based architectures. Proven experience designing and operating large-scale ML systems in production. Strong ...

Data Services, Data Factory, Synapse, AzureML) Hands-on experience with CI/CD, DevOps, and MLOps Solid understanding of AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) Proficiency in Python and SQL; knowledge of data governance and security IoT experience is a nice to have If you have IOT experience ...

diffusion models and generative AI Proven experience with text-to-image generation, multimodal AI Large-scale model training experience (distributed systems, GPUs) Proficiency in PyTorch, JAX, or similar frameworks Enterprise AI deployment experience Safety and alignment research background Multilingual/multicultural AI expertise Highly Valued: A Background at top-tier ...

regulated environment with sensitive data. You'll work with engineering to move models from idea to production. Tech Stack: Python, scikit-learn, PyTorch, TensorFlow/Keras, LangChain, Pydantic, Spark, Kafka, Databricks, MLflow, Azure, Docker, Kubernetes. Salary: Up to £100k Working Environment: Fully Remote in UK What you'll do Research … prototype, and deploy LLM use cases (Q&A, summarisation, document processing) Build and tune models using scikit-learn, PyTorch, TensorFlow/Keras, and XGBoost Create data pipelines for batch and streaming with Spark and Kafka Use Databricks and MLflow for experiments, deployment, and monitoring What you'll bring Hands ...