Senior AI/MLOps Engineer

Summary: The Senior AI/MLOps Engineer will be responsible for leading the design and development of scalable machine learning infrastructure and production-ready AI systems. This role involves optimizing MLOps pipelines, deploying ML models, and collaborating with data scientists to ensure effective model production. The position is remote and requires strong technical leadership and communication skills. The ideal candidate will have extensive experience with cloud environments and MLOps tools.

Key Responsibilities:

• Lead the architecture and optimisation of end-to-end MLOps pipelines across cloud environments (ideally AWS)
• Drive deployment, monitoring, and scaling of ML models using Docker and Kubernetes
• Build and maintain batch and real-time inference systems leveraging streaming tools (e.g. Kafka)
• Collaborate closely with Data Scientists to productionise models using MLflow, Airflow or Dagster
• Provide technical leadership, mentoring engineers, and setting best practices
• Translate complex ML concepts into business value and influence stakeholders
• Continuously improve system reliability, performance, and scalability

Key Skills:

• Strong hands-on experience with AWS, Docker, Kubernetes (cloud-native MLOps stack)
• Proven delivery of production ML systems end-to-end (build, deploy, monitor)
• Expertise with MLflow, Airflow or Dagster for pipeline orchestration
• Experience with Kafka / streaming architectures and data engineering
• Advanced Python and SQL
• Strong leadership and stakeholder communication skills

Salary (Rate): undetermined

City: undetermined

Country: Spain

Working Arrangements: remote

IR35 Status: inside IR35

Seniority Level: Senior

Industry: IT