MLOps Engineer - DevOps and Platform Expert

Oliver Bernard United Kingdom
Remote
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AI Summary

Design, build, and support Machine Learning platforms for egaming, trading, and payments projects. Utilize DevOps and MLOps expertise to deliver scalable and secure solutions. Collaborate with the Data Platforms team to define the overall strategy and roadmap for ML and AI.

Key Highlights
Design and deploy high-quality, scalable platforms for running production Machine Learning software
Define the overall strategy and roadmap for ML and AI
Support platform deployments and CI/CD tools and processes
Technical Skills Required
KubeFlow Kubernetes Machine Learning Cloud (AWS, Azure, GCP, OpenStack) DevOps MLOps Security Linux Python Bash Spark MLlib Tensorflow PyTorn REST FastAPI Docker Terraform Ansible GitOps

Job Description


DevOps Engineer - MLOps - Fully Remote


Our client is a leading tech consultancy and software development firm.


Offering fully remote working, working on a range of egaming, trading and payments projects they’re looking to hire an MLOps Engineer with great DevOps / Platform knowledge and exp of KubeFlow and Kubernetes.


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.


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 MLOps experience
  • Good knowledge of Cloud - AWS, Azure, GCP, OpenStack etc
  • Strong DevOps experience - Kubernetes, IaC, CI/CD etc
  • KubeFlow and Machine Learning exp
  • Coding / scripting skills
  • Good, overall, understanding of software development, modern tech and frameworks
  • Solid Linux knowledge can't hurt!


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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