10 of 10 scikit-learn Jobs in the Thames Valley

EC2, S3, Lambda, SageMaker, ECS) and cloud infrastructure management Programming and ML Frameworks: Proficiency in Python and experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch CI/CD Experience: Experience with CI/CD tools and practices (e.g., GitHub Actions, Jenkins) and the ability to More ❯

EC2, S3, Lambda, SageMaker, ECS) and cloud infrastructure management Programming and ML Frameworks: Proficiency in Python and experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch CI/CD Experience: Experience with CI/CD tools and practices (e.g., GitHub Actions, Jenkins) and the ability to More ❯

EC2, S3, Lambda, SageMaker, ECS) and cloud infrastructure management Programming and ML Frameworks: Proficiency in Python and experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch CI/CD Experience: Experience with CI/CD tools and practices (e.g., GitHub Actions, Jenkins) and the ability to More ❯

EC2, S3, Lambda, SageMaker, ECS) and cloud infrastructure management Programming and ML Frameworks: Proficiency in Python and experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch CI/CD Experience: Experience with CI/CD tools and practices (e.g., GitHub Actions, Jenkins) and the ability to More ❯

EC2, S3, Lambda, SageMaker, ECS) and cloud infrastructure management Programming and ML Frameworks: Proficiency in Python and experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch CI/CD Experience: Experience with CI/CD tools and practices (e.g., GitHub Actions, Jenkins) and the ability to More ❯

of software/ML engineering experience, ideally in SaaS, cloud, or data-driven products * Advanced Python skills, including experience with ML frameworks (e.g., scikit-learn, XGBoost, PyTorch, or TensorFlow) * Experience deploying ML models in production environments, ideally using AWS services (SageMaker, Lambda, Step Functions, etc.) * Solid understanding of More ❯

of software/ML engineering experience, ideally in SaaS, cloud, or data-driven products * Advanced Python skills, including experience with ML frameworks (e.g., scikit-learn, XGBoost, PyTorch, or TensorFlow) * Experience deploying ML models in production environments, ideally using AWS services (SageMaker, Lambda, Step Functions, etc.) * Solid understanding of More ❯

of software/ML engineering experience, ideally in SaaS, cloud, or data-driven products * Advanced Python skills, including experience with ML frameworks (e.g., scikit-learn, XGBoost, PyTorch, or TensorFlow) * Experience deploying ML models in production environments, ideally using AWS services (SageMaker, Lambda, Step Functions, etc.) * Solid understanding of More ❯

of software/ML engineering experience, ideally in SaaS, cloud, or data-driven products * Advanced Python skills, including experience with ML frameworks (e.g., scikit-learn, XGBoost, PyTorch, or TensorFlow) * Experience deploying ML models in production environments, ideally using AWS services (SageMaker, Lambda, Step Functions, etc.) * Solid understanding of More ❯

of software/ML engineering experience, ideally in SaaS, cloud, or data-driven products * Advanced Python skills, including experience with ML frameworks (e.g., scikit-learn, XGBoost, PyTorch, or TensorFlow) * Experience deploying ML models in production environments, ideally using AWS services (SageMaker, Lambda, Step Functions, etc.) * Solid understanding of More ❯