OUTSIDE IR35 + REMOTE – UP TOO £500 P/D

If your skills, experience, and qualifications match those in this job overview, do not delay your application. Inspirec has partnered with a dynamic and innovative leader in the technology industry, who are seeking a highlymotivated AI/ML DevOps Engineer to join their team on a contract basis. We are seeking an experienced ML Ops / DevOps Engineer to manage the deployment, monitoring, and lifecycle of AI/ML solutions. This role ensures the reliability, security, and auditability of machine learning models in production environments, supporting scalable and compliant AI operations. Key Responsibilities: • Design, build, and maintain robust deployment pipelines for machine learning models. • Monitor model performance and data drift; manage retraining and redeployment processes. • Ensure version control, reproducibility, and auditability of all AI/ML assets. • Implement effective logging, monitoring, and alerting for AI services and infrastructure. • Guarantee adherence to security, governance, and infrastructure standards, especially in regulated environments. • Collaborate closely with data scientists and software engineers to productionize prototypes into scalable, maintainable solutions. Essential Skills & Experienc: • Hands-on experience with ML Ops tools such as MLflow, Kubeflow, Amazon SageMaker, Vertex AI, orequivalent platforms. • Deep understanding of cloud infrastructure services (AWS, Azure, GCP). • Strong experience with CI/CD practices and containerization tools (Docker, Kubernetes). • Knowledge of the machine learning model lifecycle, including drift detection and automated retraining. • Familiarity with information security best practices and compliance standards, particularly in government or highly regulated contexts.