Senior Machine Learning Engineer, Biologics Discovery

Johnson U0026 Johnson
Madrid, Spain
5 days ago
Apply on www.buscojobs.com.es
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
4 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Automation of Tests Cloud Computing Continuous Integration Data Infrastructure Python (Programming Language) Machine Learning Release Management Software Engineering Management of Software Versions AI Platforms Information Technology
+4 more
Deployment Automation Machine Learning Operations Data Pipelines Automation Anywhere

Job description

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 / Beneficios * 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 experience operationalizing and scaling AI/ML solutions in production * Strong Python proficiency for AI/ML workflows across training, fine-tuning, deployment, and serving * Experience with cloud infrastructure and modern data platforms for AI/ML workloads * Experience with model registries, experiment tracking, and ML lifecycle tools (e.g., MLflow, Weights u** Biases) * Experience implementing production AI/ML practices: versioning, deployment automation, CI/CD, automated testing, observability, containers, orchestration, scalable compute * Strong software development and automation practices and ability to partner with data scientists and domain experts Requisitos principales * medical, dental, and vision insurance * life and disability insurance * retirement plan (pension) and 401(k) * vacation and personal time off * paid holidays and sick leave

Requirements

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 experience operationalizing and scaling AI/ML solutions in production * Strong Python proficiency for AI/ML workflows across training, fine-tuning, deployment, and serving * Experience with cloud infrastructure and modern data platforms for AI/ML workloads * Experience with model registries, experiment tracking, and ML lifecycle tools (e.g., MLflow, Weights u** Biases) * Experience implementing production AI/ML practices: versioning, deployment automation, CI/CD, automated testing

Benefits & conditions

observability, containers, orchestration, scalable compute * Strong software development and automation practices and ability to partner with data scientists and domain experts Requisitos principales * medical, dental, and vision insurance * life and disability insurance * retirement plan (pension) and 401(k) * vacation and personal time off * paid holidays and sick leave

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.buscojobs.com.es
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:36 min

Choosing between managed AI platforms and custom governance

Péter Farkas Péter Farkas · Europe 2026 Virtual

6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff · World Congress 2024

2:27 min

Introduction to WebAssembly in a cloud computing context

Edo Edo · World Congress 2024

7:10 min

Exploring pathways into the machine learning engineering field

Jose Luis Latorre Millas · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

6:34 min

Commercial applications of modern artificial intelligence and machine learning

Kris Howard · LIVE

Videos

See all

Related articles

See all