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DevOps Engineer

Technet IT Recruitment Limited
Job LocationCambridgeshire
EducationNot Mentioned
Salary£500.00 per day
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent, full-time

Job Description

DevOps Engineer (Machine Learning Ops)As part of our small, diverse, and multi-functional team of Hardware Engineering, Software tools/services, and Data Science experts, you will be helping to develop new and novel techniques that will accelerate and empower our Engineering teams to do their best work.You will:

  • 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 and models;
  • Build and maintain custom interfaces to EDA tools, testbenches and data stores.
    • You will:
  • Work across all aspects of the software life cycle whilst being supported by, and learning from, the rest of the team;
  • Contribute effective, performant, and scalable code into production;
  • Analysing and improving the performance, architecture, and resilience of ML applications and their deployment infrastructure;
  • Gathering requirements for new features and updating stakeholders on progress.
    • In order to be considered, you will need a bachelors degree (or equivalent) in Electronic Engineering, Computer Engineering, Computer Science, or another relevant subject. Other degree types may be considered with relevant experience. You will also need to have 1-3 years work experience (including any internship experience)Essential Skills & Qualities
  • Expert in using UNIX environment (Shell programming/Scripting)
  • Expert in integration technology and automation and high proficiency in python
  • Expert in creating/maintaining dev Ops pipelines
  • Demonstrable knowledge of Python (including OOP, async/Multithreading, profiling);
  • Demonstrable experience of Shell programming/Scripting in a UNIX environment;
  • Experience of software delivery practices including Git and CI/CD tools (eg Jenkins);
  • An understanding of DevOps/MLOps topics;
  • You have a creative and structured approach to problem-solving, including debugging;
  • You are eager to contribute to a collaborative and open team culture;
  • You have excellent communication skills and are able to present results in a concise manner to technical & non-technical audiences.
    • Desirable Skills and Qualities:
  • Experience using DevOps/MLOps tools
  • Experience with containerization/virtualisation technologies (eg Docker)
  • Close familiarity with Agile development methodologies
    • Required skills
  • Computer Engineering
  • ML

    • Keyskills :
    Computer Engineering ML

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