Design, build, and support Machine Learning platforms using Kubeflow. Develop scalable platforms for production Machine Learning software and define the overall strategy and roadmap for ML and AI. Collaborate with the Data Platforms team to deliver AI capabilities.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
MLOps - KubeFlow - £80K
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 knowledge 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.
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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
- 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
- Strong understanding of software development, modern tech and frameworks
- Solid Linux knowledge
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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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