10 of 10 scikit-learn Jobs in the City of London

Python, R, or SQL, and experience with various data science and machine learning libraries. Experience with libraries/frameworks like NumPy, Pandas, SciPy, Scikit‐learn, TensorFlow, PyTorch, Transformers, Langchain, Streamlit, or Gradio, among others. Experience with cloud‐based tools for production use (e.g., AWS SageMaker, AWS Bedrock, Vertex ...

Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience ...

software engineering foundation (Python essential) Proven track record delivering production AI/ML systems Hands-on experience with frameworks like PyTorch, TensorFlow, or Scikit-Learn Solid understanding of MLOps and model deployment Experience working with cloud platforms (Azure, AWS or GCP) Hybrid work model: 2-3 days/ ...

understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring, and retraining ...

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 ...

Familiarity with Python and the packages widely used in data science and machine learning. Developers should be familiar with libraries like NumPy, pandas, scikit-learn, TensorFlow, and PyTorch. Familiarity with best practice in Machine Learning workflows and MLOps tools. Fluency in validation and evaluation framework and metrics frameworks ...

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 ...

degree or higher in a STEM subject (or equivalent portfolio/work experience). You must have familiarity with ML frameworks such as scikit-learn, PyTorch and a strong grasp of statistical inference, hypothesis testing and experimental design. In your career so far, you will have ideally gained ...

Trainee AI Programmer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for ...

scenes; you’ll be a visible, trusted partner helping customers adopt AI in a practical, commercially valuable way. Stack: Python, PyTorch, LLMs, TensorFlow, scikit-learn, MLOps tooling What do you need? Strong experience as an AI Engineer/ML Engineer delivering production systems Hands-on experience with … frameworks (PyTorch, TensorFlow, scikit-learn) Proven experience deploying models into live environments Strong understanding of data and AI system architecture Cloud experience (Azure, AWS or GCP) Ability to engage with clients, deliver demos, and communicate complex ideas clearly What do you get? Bonus Hybrid working Private Medical Healthcare ...