DS/ML Engineer

🕒 March 31

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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Veeva Systems

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

☁️ SaaS

⚕️ Healthcare Insurance

💊 Pharmaceuticals

SaaS • Healthcare Insurance • Pharmaceuticals

Veeva Systems is a cloud-computing company focused on the global life sciences industry. It provides software, data, and consulting services to streamline research and development, quality management, regulatory operations, and commercial processes. Veeva's solutions encompass clinical trials, regulatory submissions, drug safety management, and commercial execution to support life sciences enterprises in their mission to improve and extend life.

📋 Description

• This role is critical in making ML and AI services to power engaging user experiences • Working from end-to-end on live production services. Not just modeling, not theoretical • The work you do will directly impact our customers' day-to-day experiences • Define the best approach to solve problems with ML. Build data and model pipelines • Test and Validate services. Deploy and monitor solutions for impact • Work within a cross-functional application team to build scalable language services in the range of NLP, NLU, and NLG for live SaaS products • Help develop and groom an experiment backlog • Build models that solve real-world problems • Optimize models for production throughput and uptime requirements • Automate deployments, testing, and monitoring (MLOps)

🎯 Requirements

• 5+ years of developing data & analytics products like sentiment analyzers, translation engines, summarizers, or other language services • Expert in Machine Learning, Modeling, and development with Python • Expert in MLOps with at least one platform, e.g.: MLflow, Kubeflow, or end-to-end automation with SageMaker services • Ability to mentor others and work independently • Strong communication skills

🏖️ Benefits

• Work Anywhere means you can work in an office or at home on any given day. • Empowered Autonomy: Tech decisions are made within teams, giving engineers significant autonomy. • Collaborate with highly skilled teammates who take pride in achieving great outcomes. Excellence matters.