9 of 9 Kubeflow Jobs in the UK

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 ...

scale, including model lifecycle security, data pipelines, and secure deployment.* Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML).* Solid understanding of cloud‐native and containerised architectures, including Kubernetes and serverless technologies.* Experience operating ...

scale. Strong expertise in model lifecycle security, data pipelines and secure deployment. Hands‐on experience with ML stacks such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms. Solid understanding of cloud‐native and containerised architectures, including Kubernetes and serverless technologies. Experience operating in complex hybrid environments spanning public cloud ...

MLOps platforms, enabling ML and LLM workloads (not model research). Experience in areas such as: Building or operating MLOps platforms using tools like Kubeflow or similar frameworks Running model serving and inference platforms (e.g. KServe, vLLM, or equivalent) Supporting LLM-based workloads , including optimisation and serving considerations Providing notebook ...

need practical understanding of how ML and AI workloads behave in production. Experience or exposure to areas such as: MLOps platforms (e.g. Kubeflow or similar frameworks) Model serving and inference platforms (e.g. KServe, vLLM , or equivalent) Supporting LLM-based workloads , including performance and scaling considerations Notebook environments such as JupyterHub ...

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 ...