15 Kubeflow Jobs in England

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 »

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 »

containers (e.g., Docker) container orchestration (Kubernetes/K8s) CI/CD experience Version control (Git, Github, Gitlab) Orchestration/DAGs tools (e.g., Argo, Airflow, Kubeflow) Infrastructure as Code (Terraform, etc.) HOW TO APPLY Please register your interest by sending your CV to niall.wharton@@xcede.com or click the Apply Link. more »

familiarity with tools to manage infrastructure as code, like Terraform and package managers like Helm Charts. Proficiency with pipeline orchestration tools, such as Airflow, Kubeflow, and Argo Workflows. Outstanding communication skills, ability to convey complex technical concepts to non-technical stakeholders and collaborate with cross-functional teams. A results-driven 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 »

in Computer Science, Engineering, or a related field or equivalent experience.Solid experience with MLOps practices, deploying on multiple GPUs, and managing scalable systems.Proficiency in Kubeflow, Docker, Kubernetes, and AWS services.Experience with LangChain, prompt engineering, and fine-tuning LLMs is highly desirable.Strong background in data visualisation, and ES+Kibana.Knowledge in security practices more »

Science, Engineering, or a related field or equivalent experience. Solid experience with MLOps practices, deploying on multiple GPUs, and managing scalable systems. Proficiency in Kubeflow, Docker, Kubernetes, and AWS services. Experience with LangChain, prompt engineering, and fine-tuning LLMs is highly desirable. Strong background in data visualisation, and ES+Kibana. Knowledge more »

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 »

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 »

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 »

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 »

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: £60,000 - £85,000 (DoE) • Discretionary Bonus: Circa more »

for Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Understanding and application of Ethical AI considerations TO BE CONSIDERED…. Please either apply by clicking online or emailing me directly at . more »