Machine Learning Infrastructure Engineer

6 days ago

Bristol, United Kingdom Artis Recruitment Full time

Join a pioneering and forward-thinking company as a Machine Learning Infrastructure Engineer, recognized for its commitment to technological innovation and career advancement. This role offers a unique opportunity to be a vital part of an engineering team known for its excellent culture and collaborative spirit. They are seeking a Machine Learning Infrastructure Engineer to improve their ML infrastructure and ensure the scalability and reliability of their solutions.


The Role:

As a Machine Learning Infrastructure Engineer, you will play a key role in managing and optimizing machine learning infrastructure. You will be essential in maintaining and scaling ML solutions to support innovative projects. Your primary focus will be on productionizing machine learning models, developing robust infrastructure, and ensuring smooth deployment in cloud environments.


Responsibilities Include:

  • Developing and maintaining infrastructure for scalable ML services.
  • Managing and optimizing the deployment of machine learning models.
  • Collaborating with software engineers and data scientists.
  • Ensuring efficient CI/CD pipelines and cloud-based solutions.
  • Promoting continuous improvement and maintaining coding standards.
  • Building production-ready APIs for machine learning models.
  • Working closely with a small team to deliver high-quality, reliable software solutions.


What You’ll Need to Succeed:

  • Approximately 3+ years of experience in MLOps, DevOps, or software engineering.
  • Strong understanding of machine learning and infrastructure management.
  • Proficiency in Python and familiarity with ML frameworks such as PyTorch or TensorFlow.
  • Experience with cloud platforms like AWS, GCP, or Azure.
  • Knowledge of Generative AI and Large Language Models (LLMs).
  • Familiarity with best practices in software engineering (e.g., TDD, CI/CD, containerization).
  • Demonstrated experience in making machine learning models production-ready.
  • Ability to quickly learn and adapt to new technologies.


What’s in It for You:

  • A challenging role that supports your professional growth and offers the chance to work on advanced ML projects.
  • Earn a competitive salary that reflects your expertise and contributions.
  • Enjoy the flexibility and collaboration offered by a hybrid working model.
  • Work in an office that is easily accessible by major transport routes.
  • Be part of a culture that encourages continuous improvement and provides training and development opportunities.
  • Join a diverse and supportive work environment that values and fosters collaboration.


Next Steps: Ready to advance your career? Send your CV to us or contact us to learn more about this exciting opportunity.

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