Senior Machine Learning Engineer, Biologics Discovery

Johnson & Johnson; Madrid; Presencial; EUR 95.000 - 152.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

Group legal insurance

Descripción de la vacante

Johnson & Johnson Innovative Medicine seeks a Senior ML Engineer to join the Biologics Discovery Data Science team. You will deploy and govern ML/AI solutions, ensuring reliability from development to production for discovery workflows.

You will collaborate with data scientists and partner teams, focusing on reproducibility, CI/CD, observability, governance, and scalable compute to accelerate scientific learning and therapeutic discovery. This is an on-site role at Madrid, Spain.

Formación

• Degree in Computer Science, Engineering, Data Science, Machine Learning, or a related field.
• 4+ years of experience operationalizing and scaling AI/ML solutions in production environments.
• Strong proficiency in Python, with experience implementing AI/ML workflows for training, fine-tuning, evaluation, deployment, and serving.
• Experience with cloud infrastructure and modern data platforms used to support AI/ML workloads.
• Experience with model registries and experiment tracking (e.g., MLflow, Weights & Biases).
• Experience implementing production AI/ML practices including deployment automation, CI/CD, testing, observability, and scalable compute.

Responsabilidades

• Build and operate scalable pipelines delivering model-ready data to ML, generative AI, and agentic workflows.
• Ensure newly generated scientific data can be captured, governed, and available to downstream modeling and evaluation.
• Establish reliable deployment, serving, access management, and lifecycle management across environments.
• Implement model, data, and workflow versioning with reproducible releases and traceability.

Conocimientos

Python

CI/CD

ML/AI workflows

Cloud platforms

Model registries

Experiment tracking

Containers

Automation

Observability

Educación

Degree in Computer Science or related field

Herramientas

MLflow

Weights & Biases

Descripción del empleo

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function

R&D Product Development

Job Sub Function

R&D Machine Learning

Job Category

Scientific/Technology

All Job Posting Locations

Beerse, Antwerp, Belgium, Madrid, Spain, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Learn more at https://www.jnj.com/innovative-medicine

About The Opportunity

Johnson & Johnson Innovative Medicine is seeking a Senior ML Engineer for our Biologics Discovery Data Science team. This role builds and operates the integration, deployment, lifecycle management, and governance capabilities that enable machine learning (ML) models and AI solutions developed by partner organizations to run reliably in Biologics Discovery environments. You are the senior team member who closes the gap between model-ready data in our data warehouse and models that serve discovery scientists.

we recommend focusing on the specific country(s) that align with your preferred location(s):

USA - Requisition Number: R-099962

Spain - Requisition Number: R-100646

Belgium - Requisition Number: R-100647

Why This Role Matters

The future of AI-native discovery depends on high-quality AI and data solutions that connect scientific data, machine learning models, and agentic workflows. This role will shape how enterprise AI and MLOps capabilities are adapted, integrated, and operationalized for Biologics Discovery, enabling AI solutions to scale from prototypes into trusted capabilities that accelerate scientific learning and therapeutic discovery.

Position Summary

In this role, you will enable AI/ML solutions to move reliably from development into production within Biologics Discovery. Working closely with data scientists, AI/ML scientists, discovery scientists, and partner organizations at J&J, you will own the deployment, lifecycle management, access, monitoring, and governance of ML, generative AI, and agentic solutions for discovery workflows. The role does not own core model development or the underlying enterprise platforms. Instead, it ensures that models and AI capabilities developed by partner teams are operationalized reliably for scientific use.

You will bring expertise in modern AI/ML operational practices, including reproducibility, CI/CD, observability, governance, automation, and scalable compute, helping adapt enterprise capabilities for discovery-specific use cases. Your work will enable reliable, production-grade AI workflows and accelerate the adoption of ML and agentic systems in biologics discovery.

Why This Role Is Unique

This is a rare opportunity to play a key role in enabling AI-native Biologics Discovery. You will help operationalize and scale AI/ML capabilities that transform model-ready data and promising models into reliable, production-grade solutions that accelerate scientific discovery.

Key Responsibilities

AI/ML Operations & Lifecycle Management

• Build and operate scalable pipelines and interfaces that deliver model-ready data to ML, generative AI, and agentic workflows.
• Enable closed-loop scientific learning by ensuring newly generated scientific data can be captured, governed, and made available to downstream modeling, evaluation, and agentic workflows.
• Establish reliable operational capabilities for model deployment, serving, monitoring, access management, and lifecycle management across development and production environments.
• Implement model, data, and workflow versioning, with reproducible releases, rollback capabilities, and traceability across the AI/ML lifecycle.

Reliability, Observability & Scale

• Establish monitoring, observability, alerting, and performance management practices for ML workflows, deployed models, and AI services.
• Develop and maintain automated workflows supporting testing, release management, environment management, and operational excellence across AI/ML solutions.
• Enable AI capabilities to scale with growing scientific data volumes, computational demands, and increasingly autonomous discovery workflows.
• Monitor model and system behavior in production, including data quality, model performance, drift, latency, reliability, and resource utilization.

Partnership & Standards

• Partner with data scientists, technology teams, and domain experts to establish reliable integration patterns between scientific data products and AI/ML workflows.
• Enable ML scientists and AI agents with reproducible training, fine‑tuning, evaluation, experimentation, and deployment capabilities.
• Establish reusable patterns, best practices, and standards that accelerate the transition from experimentation to production deployment.
• Contribute to security, access control, AI governance, documentation, and cost management practices across AI/ML solutions.

Ideal Candidate Profile

The ideal candidate is a pragmatic AI/ML practitioner who combines operational expertise with a passion for reliability, reproducibility, and automation. They thrive at bridging scientific needs and technical capabilities, enabling AI/ML solutions to move efficiently from experimentation to trusted scientific impact.

Qualifications

Required

• Degree in Computer Science, Engineering, Data Science, Machine Learning, or a related computational field.
• 4+ years of experience operationalizing and scaling AI/ML solutions in production environments, including ML, generative AI, or agentic workflows.
• Strong proficiency in Python, with experience developing AI/ML workflows for model training, fine‑tuning, evaluation, deployment, and serving.
• Experience with cloud infrastructure and modern data platforms used to support AI/ML workloads.
• Expertise with model registries, experiment tracking, and ML lifecycle management tools (e.g., MLflow, Weights & Biases).
• Experience implementing production AI/ML practices, including model versioning, deployment automation, CI/CD, automated testing, observability, monitoring, containers, orchestration technologies, and scalable compute environments.
• Strong software development and automation practices, with the ability to partner effectively with data scientists, AI/ML practitioners, technology teams, and domain experts.

Preferred

• Experience in pharmaceutical, biotechnology, or life sciences sectors.
• Exposure to real-time/near-real-time pipelines and instrument data integration.
• Experience working with FAIR data principles, metadata management, data lineage, provenance, and AI-ready data practices.

This position will be based at one of our office locations in either Spring House, PA (strongly preferred), Titusville, NJ, or Raritan, NJ, USA; Beerse, Belgium or Madrid, Spain. (No remote option.)

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

If you are under 18 years of age, you (the candidate) may need to obtain the necessary working papers or other documentation required by state law to start the assignment, as well as get a parent’s consent for the background check.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.

The anticipated base pay range for this position is $109,000 to $174,800. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.

Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).

Employees Are Eligible For The Following Time Off Benefits

Vacation – up to 120 hours per calendar year

Sick time - up to 40 hours per calendar year

Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year

Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

The compensation and benefits information set forth in this posting