6 Permanent Kubeflow Jobs in the South East

Language Processing and Computer Vision applications.Strong understanding of basic probability concepts.In-depth knowledge of the machine learning lifecycle and collaboration facilitation.Workflow/pipelining frameworks (Kubeflow, MLFlow, Argo or equivalents).Understanding and application of key considerations for Ethical AI.Benefits:Base Salary: £45,000 - £75,000 (DoE)Discretionary Bonus: Circa 10% per more »

Computer Vision applications.• Strong understanding of basic probability concepts.• In-depth knowledge of the machine learning lifecycle and collaboration facilitation.• Workflow/pipelining frameworks (Kubeflow, MLFlow, Argo or equivalents).• Understanding and application of key considerations for Ethical AI.Benefits:• Base Salary: £45,000 - £75,000 (DoE)• Discretionary Bonus: Circa more »

environments, leveraging Azure and other modern technologies. Proven ability to orchestrate complex data workflows and manage Kubernetes clusters on AKS , utilizing tools like Airflow, Kubeflow, Argo, and Dagster. Familiarity with data ingestion tools such as Airbyte and Fivetran, accommodating a wide array of data sources. Mastery of large-scale data more »

Semantic Kernel, and tools like MS tooling, Co-Pilot Studio, ML Studio, Prompt flow, Kedro, etc. Proficiency in pipeline orchestration with tools like Airflow, Kubeflow, and Argo . Exceptional communication skills, with the ability to articulate complex statistical concepts clearly. Personal Competencies: A results-oriented professional with a fervent passion more »

advanced content analysis and indexing & developing RAG services . Experience in managing data workflows and Kubernetes clusters on AKS, utilizing tools such as Airflow, Kubeflow, Argo, and Dagster. Familiarity using scripting languages and tools such as Bash, PowerShell, Azure CLI, Terraform, and Helm Charts. Additional Information Location : This is a more »

jenkins Extra Kudos if you have Previous role as an MLOps engineer Use of ML frameworks e.g. pytorch, tensorflow Familiarity with MLOps platforms e.g. Kubeflow, MLFlow, Tensorflow Extended, ClearML, VertexAI, Amazon SageMaker Experience deploying ML models in production environments Benefits We provide: Competitive salary, benchmarked against the market and reviewed more »