4 of 4 Remote scikit-learn Jobs in the South East

million users without incurring technical debt. Strong programming skills in Python and familiarity with ML libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar. MLOPS experience with tools such as Drift, Decay, A/B Testing. Integration and Differential testing, python package building, code version etc. ...

help you build these skills. Experience with: Automation of processes/pipelines for data, analytics or operations ML-specific Python libraries (e.g. pandas, scikit-learn, xgboost) Big data tooling (e.g. Snowflake/snowpark, pyspark) Cloud computing - especially Azure, where we deploy key parts of our platform The interview ...

Required experience will include: Strong Python Programming skills. Strong design and development skills using Python. Python's libraries for machine learning: PySpark, Pytorch, scikit-learn and pandas. Technical experience using Databricks and MLFlow (Other Platforms can be considered). Good understanding of software code review standards - CI/ ...

Machine Learning Engineer Machine Learning Engineer – AI for Advanced Materials – Oxford (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We’re looking for a Machine Learning Engineer … seeking Machine Learning Engineers with experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile ...