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2 дня назад

Senior MLOps Engineer (KubeFlow)

75 000 - 95 000GBP
Формат работы
remote (только United_kingdom)
Тип работы
fulltime
Грейд
senior
Страна
UK
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Senior MLOps Engineer (KubeFlow)

Posted Date Mar 10, 2026 Employment Type Full-time Experience Level Mid-Senior level Location United Kingdom Annual Salary 0 - 0 GBP Category ** Devops ** Company **Oliver Bernard **

MLOps Engineer - KubeFlow - £75K - £95K

Our client is a leading software as a service (SaaS) company, building cutting-edge solutions for trading, egaming and payments all over the world.

Offering fully remote working, they’re looking to hire an MLOps Engineer with experience of KubeFlow.

You’ll work in their Data Platforms team and be key in the design, building and support of Machine Learning platforms to deliver the power and scale of AI capabilities.

Work will include the design and deployment of high quality, scalable platforms for running production Machine Learning software, helping define the overall strategy and roadmap for ML and AI and supporting platform deployments and CI/CD tools and processes.

Interested in remote work opportunities in Devops? Discover Devops Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements. You’ll need a positive, growth, mindset, great experience of ML frameworks and software delivery and good knowledge of DevOps, MLOps and Security.

Requirements:

  • Proven Machine Learning and MLOps experience
  • Commercial KubeFlow exp
  • Good knowledge of Cloud - AWS, Azure, GCP, OpenStack etc
  • Solid DevOps experience - Kubernetes, Observability, IaC, CI/CD etc
  • Coding skills using Python, Ruby, Perl etc Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
  • Strong understanding of software development, modern tech and frameworks
  • Solid Linux knowledge

Tech / Tools you’ll be working with (some of them!)

  • Kubeflow
  • Spark / MLlib / Tensorflow / PyTorn
  • REST / FastAPI
  • Docker / Kubernetes
  • Terraform / Ansible
  • GitOps
  • Python / Bash

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