5 of 5 Permanent Kubeflow Jobs in East London

deploying ML models or managing AI/ML workflows in production. Working knowledge of big data technologies like Spark , Hive , or Hadoop . Familiarity with MLOps tools (e.g., MLflow , Kubeflow , DataRobot ). Education Bachelor’s degree in Computer Science , Software Engineering , or a related technical field — or equivalent practical experience. Why Join Us Work on cutting-edge technologies and impactful More ❯

with the right to work and able to be in the office 2–3 days per week Nice to Have Background in healthcare, clinical tech, or MLOps tooling (MLflow, Kubeflow, Vertex Pipelines) What’s on Offer Competitive salary + meaningful equity ‍♂️ 25 days holiday + UK bank holidays Flexible hours and a sustainable work pace Bright, collaborative office minutes from More ❯

MAUs. Your First 12 Months Ship V1 of the food-analysis API (image + text → nutrient vector → protocol tag) with Stand-up an ML Ops stack (Vertex AI/Kubeflow, Terraform-managed infra) that supports rapid retraining and audit logs. Scale the team—hire or upskill research engineers, data scientists and backend developers; formalise career ladders and a high-trust More ❯

Join a world-leading cybercrime SaaS organisation in an exciting Senior/Principal AI Engineer role to deliver robust and impactful AI-based solutions to advance threat detection efficiency. Our client is headquartered in the UK and, whilst being well More ❯

across disciplines. ● Experience integrating or leveraging Large Language Models (LLMs) via APIs or platform services (e.g., OpenAI, Anthropic, Cohere). ● Familiarity with MLOps tools and practices (e.g., MLflow, SageMaker, Kubeflow). ● Experience in startup or fast-paced environments with rapidly evolving requirements Personal qualities ● Ambitious ● Driven ● Ability to work as part of a collaborative team but also work independently ● Strong More ❯