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Machine Learning Operations (MLOps) Engineer
- norwich, norfolk, NR11AA, United Kingdom
- Permanent·Remote
- Full time
- £78,000 - £78,000 Per Annum
Job Description
About the Role
Our client is looking for a skilled Machine Learning Operations (MLOps) Engineer to join their fully remote team, driving efficiency and reliability in their AI/ML workflows. This role is essential for bridging the gap between machine learning model development and production deployment, ensuring seamless integration, continuous integration/continuous delivery (CI/CD), and robust monitoring of ML systems. You will work with cutting-edge technologies to streamline the entire ML lifecycle, enabling faster iteration and deployment of intelligent solutions. This is a prime opportunity for an MLOps specialist passionate about automation and scalable AI infrastructure.
Key Responsibilities
- Design, build, and maintain scalable and reliable MLOps infrastructure and pipelines.
- Implement CI/CD processes for machine learning models, from experimentation to production.
- Develop and manage tools for model training, versioning, deployment, and monitoring.
- Automate the deployment, scaling, and management of ML models in cloud environments.
- Collaborate with data scientists and software engineers to ensure smooth model integration and operationalization.
- Monitor ML system performance, troubleshoot issues, and implement solutions to ensure uptime and efficiency.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related technical field.
- 3+ years of experience in DevOps, SRE, or MLOps roles, with a focus on ML systems.
- Strong proficiency in scripting languages (e.g., Python) and experience with infrastructure-as-code tools (e.g., Terraform, Ansible).
- Hands-on experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
- Familiarity with ML frameworks (e.g., TensorFlow, PyTorch) and ML lifecycle management tools.
- Excellent understanding of software engineering best practices and system automation.
Benefits
- Competitive salary and comprehensive benefits package.
- Full remote work flexibility and support for home office setup.
- Health, dental, and vision insurance coverage.
- Generous opportunities for professional development and training in MLOps and cloud technologies.
- A collaborative and forward-thinking remote team environment.