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 design and implement efficient CI More ❯
reading, south east england, united kingdom Hybrid / WFH Options
Ocho
/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 serverless and event-driven More ❯
Experience coding embedded microcontrollers/IDEs/SBCs in Python/C + Experience programming firmware in C Bonus: + Experience with AI accelerators, PyTorch, Tensorflow, OpenCV, Linux, CNNs + Experience with gcode programming What you ll get: + £30-50k + Share options + Clear progression path to More ❯
Experience coding embedded microcontrollers/IDEs/SBCs in Python/C + Experience programming firmware in C Bonus: + Experience with AI accelerators, PyTorch, Tensorflow, OpenCV, Linux, CNNs + Experience with gcode programming What you’ll get: + £30-50k + Share options + Clear progression path to More ❯
such as humidity, temperature, and pressure. Key Responsibilities Develop machine learning models to detect anomalies and failure patterns in robotic components. Use Python and PyTorch to process real-time image and sensor data. Data Processing & Synthetic Data Generation Create synthetic datasets to enhance model training and failure mode analysis. Work … to process and analyze ML outputs. Set up and optimize machine learning pipelines for real-world deployment. Key Skills & Experience Proficiency in Python and PyTorch for model development. Experience working with image-based machine learning models, including optical, UV, and thermal imaging. Understanding of anomaly detection, predictive maintenance, and synthetic More ❯
