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ML DevOps Engineer

Connected Consulting Limited
Job LocationCambridge
EducationNot Mentioned
Salary£400.00 - £500.00 per day
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypeContract, full-time

Job Description

We are recruiting for a ML DevOps Engineer to join our clients small, diverse, and multi-functional team.Their main focus is to drive forward with the use of Machine Learning, by connecting it with Data Science to automate design and verification of hardware, reducing time to market and enabling more complex designs.Your responsibilities

  • Develop MLOps pipeline for Engineering functions
  • Deploy ML/DS pipelines into production on live projects.
  • Build and maintain parts of an MLOps system that enables CI/ CD of ML pipelines
  • Contribute effective, performant, and scalable codeinto production.
  • Analysing and improving the performance, architecture, and resilience of ML applications.
  • Gather requirements for new features and updating stakeholders on progress.
  • Build and maintain custom interfaces to EDA tools, testbenches and data stores.
    • Previous experience in the following:
  • Integration technology and automation and strong Python skills
  • Ability to create/maintain Dev Ops pipelines
  • Python (including OOP, async/multithreading, profiling).
  • Shell programming / scripting in a UNIX environment.
  • Software delivery practices including Git and CI/CD tools (e.g. Jenkins);
    • Desirable Skills and Qualities:
  • Experience using MLOps tools
  • Experience with containerization/ virtualisation technologies (e.g. Docker)
  • Close familiarity with Agile development methodologies
    • Qualifications: A bachelor’s degree (or equivalent) in Electronic Engineering, Computer Engineering.Other:Please note that the role will be working from home until further notice Required skills
  • Linux
  • Jenkins
  • python
  • DevOps
  • CI/CD

    • Keyskills :
    Linux Jenkins python DevOps CI/CD

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