Remote Kubeflow Jobs in the UK

1 to 5 of 5 Kubeflow Jobs in the UK with Remote Work Options

Machine Learning Engineer III

London, United Kingdom
Hybrid / WFH Options
Confidential
MLlib, Keras, or scikit-learn Experience in cloud-based infrastructures such as AWS or GCP Exposure to orchestration platforms such as Apache Airflow or Kubeflow Proven attention to detail, critical thinking, and the ability to work independently within a cross-functional team What benefits do we offer ? Cond Nast Learning more »
Posted:

Senior Principal Consultant, Data, MLOps

London, United Kingdom
Hybrid / WFH Options
Confidential
on their strategic goals, and assisting them in delivery. Responsibilities: Implementation of DevOps best practices Working knowledge of Istio, Argo CD, Argo Workflows, Events, Kubeflow, Helm, Prometheus Python programming skills at the level where decorators are understood, creating libraries, and debugging with pdb Strong understanding of ML models, including versioning more »
Posted:

Senior MLOps Engineer

United Kingdom
Hybrid / WFH Options
DeepRec.ai
Familiarity with Terraform for CI/CD and infrastructure as code. Strong programming skills in software development. A cloud-agnostic mindset, with experience in Kubeflow considered a bonus We look forward to hearing from you and discussing the role and next steps Must be able to start by 1st April more »
Posted:

Data Scientist

Greater London, England, United Kingdom
Hybrid / WFH Options
Anson McCade
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) Annual Bonus more »
Posted:

Data Science & Machine Learning Engineer

Manchester, Lancashire, United Kingdom
Hybrid / WFH Options
Confidential
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 »
Posted:
Kubeflow
10th Percentile
£75,625
25th Percentile
£80,000
Median
£91,250
75th Percentile
£96,250
90th Percentile
£103,125