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MLOps Engineer
2 months ago
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.