Machine Learning Operations (MLOps) Engineer

About the Role

Our client is seeking a dedicated Machine Learning Operations (MLOps) Engineer to join their innovative team in Derby . This role is essential for bridging the gap between machine learning development and robust production deployment. You will focus on building and maintaining scalable MLOps pipelines, automating model deployment, monitoring, and lifecycle management. If you are passionate about operationalizing AI and ensuring the smooth, reliable functioning of machine learning systems, this is an excellent opportunity to contribute to impactful projects.

Key Responsibilities

• Develop, automate, and maintain MLOps pipelines for continuous integration, delivery, and deployment of ML models.
• Implement monitoring and alerting systems for AI/ML models in production environments.
• Manage and scale ML infrastructure on cloud platforms (e.g., AWS, Azure, GCP).
• Collaborate with data scientists and software engineers to ensure seamless model deployment and operational efficiency.
• Troubleshoot and resolve issues related to ML model performance and infrastructure in Derby .

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of experience in DevOps, SRE, or MLOps roles.
• Proven experience with CI/CD tools and practices for machine learning models.
• Familiarity with cloud platforms and containerization technologies (Docker, Kubernetes).
• Strong programming skills in Python and experience with ML frameworks.

Benefits

• Competitive salary and performance bonuses.
• Comprehensive health, dental, and vision insurance.
• Opportunities for professional growth and certifications.
• Pension scheme and paid time off.
• A dynamic and collaborative work environment in Derby .