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Remote DS/ML Engineer Job in London, UK Veeva Systems

DS/ML Engineer Veeva Systems
Computer ScienceData EngineeringAWS SagemakerComputer VisionData ScienceDeep LearningMlopsNatural Language ProcessingPattern Recognition
Senior (5-8 years) - 
LondonUK


The Industry Cloud for Life Sciences
8465+ employees
SaaS


Role


Who you are

  • 5+ years 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

Desirables

  • Production experience with GenAI, LLMs, Recommendation Engines, AWS offerings for AI and ML including SageMaker, Bedrock, Lex
  • Bachelor’s degree or higher in computer science, engineering, or information systems



What the job involves

  • Turn your data science skills into tangible impact
  • Develop innovative services that make a difference
  • Solve complex problems and bring solutions to life in large-scale software products
  • Build and operate AI language features for global clients
  • Build scalable language services for live SaaS products
  • 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)


Application process

  • Contact talent_accommodations@veeva.com

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Company


Company mission

Veeva Systems Inc. is committed to revolutionizing the life sciences industry by providing innovative cloud-based software solutions that accelerate the delivery of therapies to patients globally. With a focus on innovation, product excellence, and customer success, Veeva aims to make a positive impact on its customers, employees, and communities.




Company benefits

  • Flexible work environment
  • Equal opportunity employer
  • Culture of inclusion
  • Diverse workforce



Company values

  • Do the Right Thing
  • Customer Success
  • Employee Success
  • Speed



Company HQ

Pleasanton



Founders

Peter Gassner (CEO)
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