6 of 6 TensorFlow Jobs in Woking

AI/ML Engineers and Data Scientists across various industries. Provide hands-on coding sessions and real-world project mentorship using Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch). Incorporate cloud-based tools (AWS, GCP, Azure) into training to simulate modern ML environments (cloud training can be provided). Keep training materials updated with current industry More ❯

background in digital signal processing (DSP) and machine learning applied to audio. Proficiency in programming languages such as Python, C++, and MATLAB. Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, etc.). Understanding of real-time and embedded audio processing techniques. Experience working with generative AI models for audio synthesis and transformation. Strong problem-solving skills with the More ❯

Help shape the data pipeline and MLOps practices for handling sensitive legal content securely. Required Experience: Solid experience with Python and ML/NLP libraries (e.g., spaCy, Hugging Face, TensorFlow/PyTorch). Experience building NLP or document analysis solutions, ideally for legal or compliance use cases. Strong understanding of legal language, structures, and workflows (e.g., contracts, clauses, case More ❯

and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross-functional teams More ❯

Actions, Jenkins, or CircleCI Hands-on with monitoring tools like Prometheus and Grafana Nice to have: Experience building Developer Experience (DevX) tools and workflows Familiarity with GPU setups (CUDA, TensorFlow, etc.) Strong networking and network security knowledge Linux/Unix skills and shell scripting A degree in Computer Science or a related field What we offer: Hybrid work More ❯

memory architectures (e.g., SRAM, DDR, ROM, eFuse, HBM) HW-SW co-design Deep knowledge of VPU/NPU/GPU/CPU/TPU architecture Experience with ML frameworks - TensorFlow/PyTorch/Python or similar Knowledge of DSP algorithms - FIR/IIR filters or FFT Focus on low-power, performance, and optimization Applicants must have UK/EU More ❯