ML & AI Engineer at CreditorWatch building ML infrastructure and managing production workflows. Collaborating with data scientists to transition models from research to production.
Responsibilities
Build and design production-grade ML systems and lifecycle management
Develop and maintain feature stores, model registries, and artefact tracking systems to support reproducibility and governance
Collaborate with data scientists to transition models from research to production, ensuring scalability and compliance
Build and maintain MCP servers, vector databases to design, support, and implement AI initiatives
Requirements
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field
5+ years of experience in machine learning engineering, with a strong focus on production deployment and MLOps
Proven experience with ML platform tools such as MLflow, Sagemaker, Vertex AI, or similar, and cloud platforms (AWS, GCP, Azure) and integrated data platforms, Databricks, Snowflake
Deep understanding of AI/MLOps practices, including CI/CD pipelines, monitoring, and end-to-end model lifecycle management in production environments
Experience building MLOps in Databricks highly regarded
Strong experience in Python, SQL and/or other codebases
Benefits
Fitness First Platinum gym membership
Barista-made coffee, breakfast, snacks, lunches and drinks
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