Experteer Overview In this Senior ML Engineer role, you will operationalize AI/ML capabilities for Biologics Discovery, bridging data science with discovery scientists. You'll implement scalable data pipelines, governance, and lifecycle practices to move models from prototype to production. You'll partner with researchers and engineers to enable reliable, production-grade AI workflows and accelerate scientific discovery. This position emphasizes reliability, reproducibility, and automation within a leading healthcare innovator.
Compensaciones / Ventajas
Build and operate scalable pipelines delivering model-ready data to ML, generative AI, and agentic workflows
Enable closed-loop scientific learning by capturing and provisioning new data for downstream modeling and evaluation
Establish production-grade deployment, serving, monitoring, access control, and lifecycle management for ML/AI across environments
Implement versioning and reproducible releases with traceability across the ML lifecycle
Set up monitoring, observability, alerting,



and performance management for ML workflows and AI services
Develop automated workflows for testing, release management, and environment management across AI/ML solutions
Scale AI capabilities to handle larger data volumes and more autonomous discovery workflows
Monitor production model behavior, data quality, drift, latency, and resource utilization
Partner with data scientists and domain experts to define reliable integration patterns between data products and AI/ML workflows
Enable reproducible training, fine-tuning, evaluation, and deployment capabilities for ML scientists and AI agents
Contribute to standardization and best practices to accelerate transition from experimentation to production
Support security, access control, AI governance, documentation, and cost management across AI/ML solutions
Responsabilidades
Degree in Computer Science, Engineering, Data Science, Machine Learning, or related computational field
4+ years of

📌 Senior Machine Learning Engineer (Madrid)
🏢 Johnson u0026 Johnson
📍 Madrid