26 to 42 of 42 Kubeflow Jobs in London

knowledge of AI infrastructure. Proficiencyin programming languages such as Python, Java, or C++. Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Kubeflow). Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and collaboration skills. Proven experience in AI/ ...

infrastructure. Good proficiency in programming languages such as Python, Java, or C++. Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Kubeflow). Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and collaboration skills. Significant experience in AI/ML infrastructure ...

machine learning, deep learning, and personalisation for potential integration into existing systems Требования Strong demonstrated experience with ML training frameworks, mainly TFX and Kubeflow Pipelines SDK, and model serving technologies such as TensorFlow Serving, Triton, and TorchServe Expertise in the full machine learning lifecycle, from model development, deployment, and serving ...

application development (we use AWS & Azure)Familiarity with one or more ML frameworks and technologies: scikit-learn, xgboost, TensorFlow, PyTorch, Spark, SageMaker, Vertex AI, Kubeflow, Seldon, TritonStrong communication skills, able to express ideas clearly and collaborate across teamsAdditional InformationBring all of you to workWe create the conditions for high performers ...

infrastructure. Good proficiencyin programming languages such as Python, Java, or C++. Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Kubeflow). Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and collaboration skills. Significant experience in AI/ML infrastructure engineering ...

level Python development skills with production experience at scale. Strong Kubernetes experience with production workloads. Hands‐on experience with workflow orchestration tools (Temporal, Airflow, Kubeflow, or similar). Cloud platform expertise (AWS required, Azure & GCP beneficial). Experience with data processing frameworks (Spark, Athena, Ray, or similar). Track record ...

secure-by-default practices. Strong Python development skills with production experience. Experience with Kubernetes in production. Familiarity with workflow orchestration tools (Temporal, Airflow, Kubeflow, or similar). Cloud platform experience (AWS preferred, Azure & GCP a plus). Familiarity with data processing frameworks (Spark, Athena, Ray, or similar) a plus. Strong ...

required: AWS Kubernetes IaC (Terraform) GitOps (Helm, ArgoCD) Monitoring and alerting for production systems (Prometheus/Grafana or similar) Azure (desirable) MLOps in k8s (Kubeflow etc) Running GPU workloads on K8s (drivers, scheduling, utilisation) Familiarity with AI engineering Experience deploying in air-gapped customer environments Experience with secrets management ...

with Data Science, Actuarial, and Product teams. Responsibilities: Build and support ML lifecycle tooling for model deployment, monitoring, and alerting Maintain and improve the Kubeflow environment for Data Scientists and Actuaries Create pricing analytics tools to accelerate impact analysis and reduce manual work Collaborate with pricing and product teams ...

Engineering, and Managed Services on cloud and on prem AI/ML & MLOps - Open source AI/ML solutions, AIOps automation, model lifecycle management, Kubeflow, MLFlow, KServe, and AI infrastructure on cloud and edge IoT - Ubuntu on embedded devices and/or edge servers, device management, and robotics Cloud - Ubuntu ...

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 of big data technologies (e.g. Spark, Hadoop) Have constructed batch and streaming microservices exposed as REST/gRPC endpoints Familiarity with GraphQL #CIBAppliedAI #J ...

ideas at all levels; convey information clearly and create trust with stakeholders. Preferred qualifications, capabilities, and skillsExperience designing/implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray)Experience of big data technologies (e.g. Spark, Hadoop)Have constructed batch and streaming microservices exposed as REST/gRPC endpointsFamiliarity with GraphQL#CIBAppliedAIJ.P. Morgan ...

versed and proven experience in programming languages such as Python, Java, or C++. Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Kubeflow). Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and collaboration skills. Longstanding experience in AI/ ...

Well versed and proven experiencein programming languages such as Python, Java, or C++. Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Kubeflow). Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and collaboration skills. Longstanding experience in AI/ ...

scalable performance. You will partner with Data Science, Actuarial, and Product teams to deliver impactful tooling. Responsibilities include building deployment and monitoring tooling, maintaining Kubeflow environments, and delivering production-grade Python applications while communicating effectively with technical and non-technical #J-18808-Ljbffr ...

Role Who you are Strong demonstrated experience using ML Training frameworks (mainly TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe) Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance Proficiency in Python and knowledge … libraries/frameworks (e.g., TensorFlow, PyTorch) Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe) Experience with high-volume data processing and real-time streaming architectures Strong understanding of recommendation system design and personalisation algorithms Familiarity with Generative ...

Learning to define and evolve Relation’s platform strategy. Our platform spans on-premises infrastructure and public cloud environments, supporting computational scientist notebooks through Kubeflow, model training and serving, internal services and genomic pipelines. You will set the technical direction across these areas, build and develop the team responsible … alongside experience operating infrastructure across hybrid on-premises and cloud environments. Experience building, running or evolving MLOps infrastructure, ideally including notebook environments such as Kubeflow, GPU compute for distributed training and model serving. Familiarity with batch compute for data-intensive scientific workloads, with an understanding of the reliability, scalability ...