51 to 75 of 212 scikit-learn Jobs in the UK

preferably in the education or e-learning sector Proficiency in Python and familiarity with AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn Strong understanding of machine learning, natural language processing, and data analytics Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying ...

preferably in the education or e-learning sector Proficiency in Python and familiarity with AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn Strong understanding of machine learning, natural language processing, and data analytics Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying ...

preferably in the education or e-learning sector Proficiency in Python and familiarity with AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn Strong understanding of machine learning, natural language processing, and data analytics Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying ...

preferably in the education or e-learning sector Proficiency in Python and familiarity with AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn Strong understanding of machine learning, natural language processing, and data analytics Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying ...

preferably in the education or e-learning sector Proficiency in Python and familiarity with AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn Strong understanding of machine learning, natural language processing, and data analytics Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying ...

preferably in the education or e-learning sector Proficiency in Python and familiarity with AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn Strong understanding of machine learning, natural language processing, and data analytics Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying ...

preferably in the education or e-learning sector Proficiency in Python and familiarity with AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn Strong understanding of machine learning, natural language processing, and data analytics Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying ...

preferably in the education or e-learning sector Proficiency in Python and familiarity with AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn Strong understanding of machine learning, natural language processing, and data analytics Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying ...

preferably in the education or e-learning sector Proficiency in Python and familiarity with AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn Strong understanding of machine learning, natural language processing, and data analytics Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying ...

preferably in the education or e-learning sector Proficiency in Python and familiarity with AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn Strong understanding of machine learning, natural language processing, and data analytics Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying ...

preferably in the education or e-learning sector Proficiency in Python and familiarity with AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn Strong understanding of machine learning, natural language processing, and data analytics Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying ...

preferably in the education or e-learning sector Proficiency in Python and familiarity with AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn Strong understanding of machine learning, natural language processing, and data analytics Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying ...

preferably in the education or e-learning sector Proficiency in Python and familiarity with AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn Strong understanding of machine learning, natural language processing, and data analytics Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying ...

preferably in the education or e-learning sector Proficiency in Python and familiarity with AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn Strong understanding of machine learning, natural language processing, and data analytics Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying ...

preferably in the education or e-learning sector Proficiency in Python and familiarity with AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn Strong understanding of machine learning, natural language processing, and data analytics Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying ...

preferably in the education or e-learning sector Proficiency in Python and familiarity with AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn Strong understanding of machine learning, natural language processing, and data analytics Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying ...

preferably in the education or e-learning sector Proficiency in Python and familiarity with AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn Strong understanding of machine learning, natural language processing, and data analytics Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying ...

preferably in the education or e-learning sector Proficiency in Python and familiarity with AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn Strong understanding of machine learning, natural language processing, and data analytics Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying ...

environments, with a focus on productionisation and long-term scalability Proficient in Python, with hands-on experience using frameworks like PyTorch, TensorFlow, or scikit-learn in applied settings Proven background in deploying ML systems on cloud platforms such as AWS, Azure, or GCP Familiar with containerisation and orchestration ...

Level Published papers Good understanding of software engineering concepts Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn Data Science experience including working with large data sets Responsibilities for Machine Learning Research Engineer: Join a team responsible for investigating the latest research in machine ...

deploying MLOps pipelines (MLflow, Azure ML, Azure DevOps etc). Strong programming skills in Python and familiarity with common ML/AI libraries (scikit-learn, tensorflow, Keras etc.). Experience implementing machine learning and large language models (LLMs), encompassing deployment, monitoring, and retraining. Familiarity with software engineering guidelines ...

understanding of the end-to-end ML lifecycle, from experimentation through deployment and monitoring. Proficiency in Python and familiarity with ML libraries like scikit-learn, XGBoost, PyTorch or TensorFlow. Experience with ML Ops tools and practices such as MLflow, model registries, containerisation (Docker/Kubernetes), and CI/ ...

Expertise Proven experience in data science leadership roles with team management. Strong expertise in Azure Machine Learning, Python, and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Hands-on experience with MLOps, CI/CD pipelines, and model monitoring. Knowledge of cloud architecture, data engineering, and security best practices. ...

modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), and advanced ML libraries (e.g. scikit-learn, XGBoost). Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. Active contribution to open-source AI projects, research ...

development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools(e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training ...