51 to 59 of 59 TensorFlow Jobs in England

training, inference, scientific workloads) Provision and optimize GPU/TPU-based infrastructure on GCP (A3/A4, TPU pods) Analyze performance across frameworks (PyTorch, TensorFlow, JAX, CUDA, ROCm) Identify system bottlenecks (compute, memory, network, I/O) Build automation tools for benchmarking and reporting Collaborate with teams to align ...

tooling AI teams use day‐to‐day, including experiment tracking, pipeline orchestration, and model serving. Experience with AI frameworks such as PyTorch, TensorFlow, or JAX. Comfortable going below the SaaS layer when the conversation demands it - GPU topology, network fabric, and cluster architecture shouldn’t be unfamiliar territory. Hands ...

Data Scientist/AI Engineer (TensorFlow, PyTorch) Required Our East Anglia based Global client seeks an experienced Data Scientist/AI Engineer with the following must have skills and experience Min of 3 years of commercial experience in a similar Data Science/AI Engineer role Essential technical skills … LLMs and natural language processing, including hands-on experience with transformer architectures (e.g., GPT, BERT, T5). Expertise in deep learning frameworks such as TensorFlow , PyTorch , or JAX . Strong knowledge of machine learning algorithms and their application to NLP tasks. Experience with cloud platforms such ...

adhere to governance standards. This is a hands-on, technical position ideal for those with deep expertise in ML frameworks such as PyTorch and TensorFlow, as well as experience in deploying scalable architectures. #J-18808-Ljbffr ...

have experience building and deploying machine learning systems in production You are comfortable working with ML frameworks such as PyTorch, TensorFlow, or similar You have experience working with large datasets and care about data quality and evaluation You are interested in or have worked with multimodal machine learning ...

systems . (Note: This is a system-heavy deployment role, not a research or prototyping position). The Technical Stack: Strong proficiency in TensorFlow is strictly required. Experience with Kubeflow is a massive plus. Lifecycle Ownership: Complete comfort handling the end-to-end ML lifecycle: prototyping, building robust data ...

platform requirements. Define model calibration, scoring logic, confidence thresholds, and optimisation strategies. Mentor teams on advanced ML techniques using Model frameworks such as PyTorch, TensorFlow, and XGBoost. Review and approve technical designs for complex modeling workflows. Explainability & Regulatory-Grade Reasoning Establish explainability standards across the ML stack, using SHAP … environments. Deep expertise with AWS SageMaker (training, processing, pipelines, endpoints, registry) and complementary AWS services. Expert‐level Python and ML Model frameworks (e.g. PyTorch, TensorFlow, XGBoost). Strong thought leadership in MLOps automation, CI/CD for ML, and model lifecycle management. Advanced experience designing explainability systems, reason codes ...

A fast-scaling RegTech startup is seeking a Senior AI Engineer to ensure the quality of AI outputs and design cutting-edge solutions. This role requires a proven record in delivering impactful ML/AI ...

Academy Education Network Ltd is seeking an AI/ML Engineer to build, evaluate, and deploy machine-learning systems. You will work with data preprocessing, model training, and deployment using technologies like PyTorch and TensorFlow. ...