7 of 7 TensorFlow Jobs in Bristol

Prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) Multimodal AI (text, image, audio, video) Agentic frameworks and orchestration AI/ML Engineering Python, PyTorch, TensorFlow, JAX NLP, deep learning, model optimisation Evaluation frameworks and guardrails Data & Platforms Vector databases (Pinecone, Weaviate, FAISS, Milvus) Knowledge graphs and semantic search Data ...

e.g. neural networks, training vs inference, numerical precision, performance trade-offs).Hands-on experience with one or more major ML frameworks such as PyTorch, TensorFlow, JAX, or similar.Strong proficiency in Python for ML workflows, experimentation, and automation.Experience designing, running, and analysing ML benchmarks or experiments.Experience working in Linux environments.Strong ...

Experience in cloud computing (ideally AWS) Strong experience across industries in both Geospatial and non-Geospatial domains Experience with Machine Learning (sci-kit learn, tensorflow, metaflow, MLOps) Preferred Experience: Experience with frameworks like Metaflow, Prefect, etc. Experience with geospatial libraries i.e. Raster, Geo-pandas, Vector databases Bright Purple ...

learning systems and frameworks, with an emphasis on performance and reliability. The ideal candidate will have extensive experience with ML frameworks like PyTorch or TensorFlow and proficiency in Python. In addition, Graphcore offers competitive salary, flexible working, and various benefits for a supportive environment. #J-18808-Ljbffr ...

architecture for machine learning. The successful candidate will bridge research and commercial deployment, focusing on performance, reliability, and maintainability. Key qualifications include expertise in TensorFlow and Python, experience in API development, and familiarity with MLOps practices. Joining means working on cutting-edge ML solutions and collaborating with experts across ...

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure ...

Responsibilities Architect the ML Solver Platform : Define modular architecture for data preprocessing, model execution, and post-processing. Establish clear API contracts between Python/TensorFlow and C# services. Productionize ML Workflows : Convert research code into robust, testable, and observable services. Implement CI/CD pipelines, automated testing, and reproducibility … solver performance. Security & Compliance : Apply best practices for secrets management, dependency scanning, and secure artifact storage. Required Skills & Experience ML Frameworks : Expert in TensorFlow (TF2/Keras), experience with ONNX Runtime for inference. Programming : Advanced Python for ML; strong understanding of packaging, type checking, and performance profiling. Architecture : Proven ...