ML/Ops Engineer

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

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.