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Senior

Senior Machine Learning Engineer

Confirmed live in the last 24 hours

Veeva

Veeva

Portugal - Lisbon
Remote
Posted March 24, 2026

Job Description

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead.
 
At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.
 
As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.
 
Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.

The Role

 
Veeva Data Cloud is connected data for Life Sciences to accelerate insights and increase efficiency with better data built on a common data architecture.

Within Data Cloud we are the AI team powering the entire suite of products. By building a unified set of AI tools, we enable agility and quality at a global scale. Our state-of-the-art ML and AI models complement the work of more than  3000 data stewards and thereby re-inforce each other. By combining AI with human data stewards, we are able to transform data into actionable insights so that clinical innovation can be developed faster and ultimately more patients can access the treatments they need.

We are looking for someone to work in a cross-functional team of data scientists, engineers and data product managers to productize and scale the AI tools that we build.

Veeva is a work-anywhere company which means you can work in an office or at home on any given day. It’s about getting the work done in the way and place that works best for each person.

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