6 of 6 Remote MLflow Jobs in Scotland

engineers on scalable pipelines, and translate business problems into analytical solutions. Core Tech Stack: Python & SQL (Expert level) Azure ML, Azure Synapse, Databricks MLOps, MLflow, CI/CD pipelines NLP, Deep Learning, Time-Series Forecasting Power BI for data storytelling Docker & Kubernetes What We Need: Strong grasp of CRISP ...

engineers on scalable pipelines, and translate business problems into analytical solutions. Core Tech Stack: Python & SQL (Expert level) Azure ML, Azure Synapse, Databricks MLOps, MLflow, CI/CD pipelines NLP, Deep Learning, Time-Series Forecasting Power BI for data storytelling Docker & Kubernetes What We Need: Strong grasp of CRISP ...

engineers on scalable pipelines, and translate business problems into analytical solutions. Core Tech Stack: Python & SQL (Expert level) Azure ML, Azure Synapse, Databricks MLOps, MLflow, CI/CD pipelines NLP, Deep Learning, Time-Series Forecasting Power BI for data storytelling Docker & Kubernetes What We Need: Strong grasp of CRISP ...

business requirements into technical solutions. Optimize and deploy models using tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build and manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines. Work with large-scale data using PySpark and integrate models into production environments. Monitor model performance and retrain as needed … learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines Experience working with distributed data processing using PySpark. Solid understanding of software engineering principles and version control (e.g., Git). Excellent ...

implementing ML testing strategies (e.g., data validation, model correctness, performance testing). Expertise in deploying ML models at scale on AWS, with experience using MLFlow or similar platforms. Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews). Expert-level … Experience with data quality monitoring tools and frameworks. Master's or PhD in Computer Science, Data Science, or a related field. Relevant certifications (AWS, MLFlow, or other data science/ML certifications). What to Expect - Your Journey with Us Behind Cloudbeds' revolutionary technology is a team of redefining what ...

Research Engineer (ML) Remote (UK) £90,000 – £120,000 + generous equity Company Overview: We're working with a well-funded early-stage BioAI company applying machine learning to a challenging biological problem with real ...