7 of 7 Part-Time TensorFlow Jobs in London

developing junior members of a team and wider community. \n \n\n DESIRABLE: \n \n \nDemonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g, GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). \n \n\n \n \nExperience ...

Microsoft Azure) \n Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes \n Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ML libraries) \n Strong problem-solving and communication skills \n\n Preferred Qualifications \n \n Experience with NLP, computer vision ...

Experience with MLOps practices and tools for managing the machine learning lifecycle. \n Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn. \n Strong understanding of data preprocessing, feature engineering, and evaluation techniques. \n Experience working with large, complex datasets and applying statistical analysis. ...

covering the full cycle from design, experimentation, deployment, to monitoring and maintenance of machine learning models. \n Expertise in machine learning frameworks such as TensorFlow, PyTorch, PyTorch Lightning, or Scikit-learn. \n Proficiency in Python with a strong emphasis on code quality and reliability through comprehensive testing. \n Extensive ...

Machine Learning, or related field. \n Experience building and deploying agentic AI applications in production environments. \n Expertise with ML frameworks such as PyTorch, TensorFlow, and scikit-learn. \n Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts. \n Hands-on experience with ...

based chatbots and agents \n Proven ability to build machine learning models and pipelines using Python and common ML and DL libraries (e.g. Pytorch, Tensorflow) from early conceptualisation to full deployment in scalable production environments \n Ability to design, deploy and maintain ML solutions on modern frameworks to meet ...

Strong software development skills with proficiency in multiple programming languages (Python, JavaScript/TypeScript, etc.) \n Hands-on experience with machine learning frameworks (PyTorch, TensorFlow, or similar) \n Extensive daily use of generative AI tools for coding (Claude, Cursor, GitHub Copilot, or equivalent) \n Proven ability to deliver working ...