7 of 7 TensorFlow Jobs in Bristol

years in ML, DevOps, or MLOps with hands-on experience deploying ML products. - Python, Go, Rust, or similar programming languages - ML/DL frameworks (TensorFlow, PyTorch, scikit-learn, etc.) - DevOps practices, CI/CD, IaC, Docker, Kubernetes - Version control (Git) and collaborative development tools - Data engineering and ETL workflows ...

could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery ...

Generative AI solutions, including prompt engineering, fine-tuning, and deploying Large Language Models (LLMs). Computer Vision: In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO). NLP: Expert practical experience in NLP techniques, including transformer ...

voicebots, ML models, or LLM-based analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. ...

Skills & Qualifications: Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs). Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed Hands-on experience in Docker for Production deployment. Proven experience managing teams delivering ML/LLM models in production environments. ...

cloud Integrating vector databases, embeddings and semantic search Collaborating with engineering, data and product teams What you'll need: Strong Python and experience with TensorFlow, PyTorch or scikit-learn Hands-on LLM work—prompt engineering, modern NLP techniques AWS experience: SageMaker, Bedrock, S3, Lambda, CloudWatch Understanding of deep learning ...

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. ...