AI Systems Engineer

About the Role

Our client is seeking a skilled AI Systems Engineer to join their dynamic team in Sheffield . This role is focused on building, integrating, and maintaining the infrastructure that powers our client's advanced AI applications. You will work on deploying and managing machine learning models, ensuring system scalability, performance, and reliability. This position offers the chance to work with cutting-edge AI technologies and contribute to the operational success of AI-driven projects within a collaborative, hybrid work environment.

Key Responsibilities

• Deploy, monitor, and maintain machine learning models in production environments.
• Develop and manage infrastructure for data pipelines and AI workflows.
• Optimize AI systems for performance, scalability, and cost-efficiency.
• Collaborate with AI researchers and data scientists to operationalize models.
• Implement and manage CI/CD pipelines for AI/ML model deployment.
• Troubleshoot and resolve issues related to AI infrastructure and applications.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of experience in systems engineering, DevOps, or MLOps.
• Strong experience with cloud platforms such as AWS, Azure, or GCP.
• Proficiency in scripting languages (e.g., Python, Bash) and containerization technologies (Docker, Kubernetes).
• Familiarity with machine learning concepts and frameworks.
• Experience with monitoring and logging tools for distributed systems.

Benefits

• Competitive salary and performance-based incentives.
• Hybrid work model offering flexibility and a blend of office and remote work in Sheffield .
• Comprehensive health, dental, and vision insurance.
• Opportunities for professional development and training in AI technologies.
• Be part of a team driving innovation in artificial intelligence infrastructure.