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MLOps Engineer

2 months ago

London, UK, United Kingdom Fruition IT Full time

MLOps Engineer

£70-120k + benefits

London Hybrid



Why Join?



  • Robotics
  • Innovative start up
  • Leadership team from succesful AI firms
  • AI/ML at heart of product


This is a rapidly scaling company, at the forefront of innovation within the robotics space.



Responsibilities:



  • Manage the entire lifecycle of AI/ML models, from development through to deployment and ongoing monitoring
  • Ensure the AI/ML infrastructure is reliable, scalable, and secure
  • Apply best practices for version control, testing, and CI/CD for AI/ML models
  • Diagnose and resolve performance and infrastructure issues related to AI/ML models
  • Keep abreast of the latest developments in AI/ML operations, tools, and best practices
  • Offer technical support and guidance to data scientists and team members regarding AI/ML Ops practices
  • Maintain detailed documentation for AI/ML infrastructure, processes, and best practices



Requirements:



  • Demonstrated experience as an AI/ML Ops Engineer or in a related role, with comprehensive knowledge of AI/ML lifecycle management
  • Expertise in programming languages like Python and proficiency with AI/ML frameworks such as TensorFlow and PyTorch
  • Hands-on experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization tools (e.g., Docker, Kubernetes)
  • In-depth understanding of CI/CD pipelines, automation tools, and version control systems (e.g., Git)
  • Familiarity with data engineering principles, including data pipelines, ETL processes, and big data technologies
  • Excellent problem-solving abilities with a talent for troubleshooting complex AI/ML system issues
  • Strong communication and collaboration skills, enabling effective work within cross-functional teams
  • Awareness of security best practices for AI/ML models and data





Apply now for more details.



We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.