7 of 7 Remote/Hybrid Kubeflow Jobs in the UK

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 problem ...

architectural implementations for intelligent solutions (Machine Learning, Agentic AI etc). Experience architecting CI/CD and MLOps frameworks (Azure DevOps, GitHub Actions, Jenkins, Kubeflow) with experience of real world model lifecycle management. Infrastructure as Code (Terraform, Ansible) for data platform provisioning and management. Container orchestration (Kubernetes, Docker) in data ...

architectural implementations for intelligent solutions (Machine Learning, Agentic AI etc). Experience architecting CI/CD and MLOps frameworks (Azure DevOps, GitHub Actions, Jenkins, Kubeflow) with real world model lifecycle management. Infrastructure as Code (Terraform, Ansible) for data platform provisioning and management. Container orchestration (Kubernetes, Docker) in data ...

XGBoost, LightGBM, or CatBoost.* Experience with model deployment tools (e.g., ONNX, TensorRT, TensorFlow Serving, TorchServe).* Familiarity with ML lifecycle tools such as MLflow, Kubeflow, or Azure ML Pipelines.* Experience working with distributed data processing (e.g., PySpark) and SQL.* Understanding of software engineering best practices, including version control (Git). ...

Desirable (AI & Data) Vector DBs: Milvus, Weaviate, Pinecone Data orchestration: Airflow, Prefect, Dagster Search: ElasticSearch/OpenSearch AI frameworks: LangChain, Hugging Face MLOps: MLflow, Kubeflow If you are looking for an opportunity to work on mission-critical systems at the forefront of UK National Security? Apply ...

Machine Learning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services). Expertise: Solid understanding of computer science fundamentals and time-series forecasting. Machine Learning: Strong ...

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 … LightGBM, CatBoost, TensorFlow, Keras, and 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 problem ...