5 of 5 Kubeflow Jobs in England

Language Processing (NLP) and Computer Vision techniques Strong understanding of probability concepts and the machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Awareness and application of Ethical AI principles This role offers a unique opportunity to work on cutting-edge projects, expand your expertise ...

containerisation expertise Experience with cloud platforms (GCP preferred) Infrastructure-as-Code experience (Terraform preferred) Desirable Experience MLOps for robotics, autonomous systems or embodied AI Kubeflow, SkyPilot or similar tooling ONNX and TensorRT deployment MLflow or experiment tracking platforms Event-driven architectures GPU orchestration and optimisation Simulation and sim-to-real ...

production environments. Understanding of foundational models, neural networks and their applications. In addition, cloud infrastructure (AWS/Azure/GCP), orchestration tools (e.g. Kubeflow), and agentic frameworks (e.g. LangChain, AutoGen). Responsibilities Partner with product, engineering, data science, and business teams to integrate AI into core offerings across SPGI Work ...

levels; convey information clearly and create trust with stakeholders. Preferred qualifications, capabilities, and skills Experience designing/implementing pipelines using DAGs (e.g., Kubeflow, DVC, Ray). Experience with big data technologies (e.g., Spark, Hadoop). Have constructed batch and streaming microservices exposed as REST/gRPC endpoints. Familiarity with GraphQL. ...

system-heavy deployment role, not a research or prototyping position). The Technical Stack: Strong proficiency in TensorFlow is strictly required. Experience with Kubeflow is a massive plus. Lifecycle Ownership: Complete comfort handling the end-to-end ML lifecycle: prototyping, building robust data pipelines, monitoring, and executing drift detection. Soft ...