Machine Learning Engineer

MLOps Data Engineer - Contract - Outside IR35

• Remote based
• 6 months rolling (long term contract)
• Outside IR35 contract

MLOps Data Engineer role overview:

You will be designing, building and maintaining data pipelines and machine learning infrastructure that support scalable, reliable, and production-ready AI/ML solutions. You will work closely with data scientists, engineers, and product teams to operationalize models, streamline workflows, and ensure data quality and availability.

• Develop and maintain data pipelines to support machine learning and analytics use cases.
• Implement MLOps best practices for model deployment, monitoring, and lifecycle management.
• Build and optimize ETL/ELT processes for structured and unstructured data.
• Automate workflows for training, testing, and deploying ML models.
• Ensure data integrity, governance, and security across the ML lifecycle.

MLOps Data Engineer Experience

• Strong programming skills in Python, SQL, and experience with AWS
• Proficiency with data engineering tools (e.g., Spark, Kafka, Airflow, dbt).
• Hands-on experience with MLOps frameworks (e.g., MLflow, Kubeflow, Vertex AI, SageMaker).
• Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes)
• Solid understanding of data modeling, warehousing, and APIs.
• Strong problem-solving skills and ability to work in agile environments.