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Remote Senior Machine Learning Engineer Job in UK Veeva Systems

Senior Machine Learning Engineer Veeva Systems
Amazon Web ServicesCloud DevelopmentData ScienceDatabasesNatural Language ProcessingPattern RecognitionReinforcement LearningSpeech RecognitionWritten
Senior (5-8 years) - 
UK


The Industry Cloud for Life Sciences
8465+ employees
SaaS


Role


Who you are

  • 3+ years of experience as a Machine Learning Engineer
  • 2+ years of experience in cloud development, ideally in AWS
  • Professional in ML operationalization, including CI/CD pipelines and workflow/model management, stacks such as Airflow and MLfLow
  • Professional in distributed computing platforms (Ray and Spark) as well as Kubernetes for inference
  • Solid understanding and experience in deep learning frameworks (e.g., PyTorch, JAX,...)
  • Hands-on experience in in-house training and inference of LLMs
  • Strong collaboration skills as well as verbal and written communication skills

Desirables

  • Experience in the life/health science industry
  • Strong theoretical knowledge of NLP, ML, or Reinforcement Learning
  • Experience with NoSQL databases
  • Familiarity with architectural choices for ML systems
  • Leadership skills and solid network for team growth



What the job involves

  • Develop LLM-based agents specialized in extracting detailed information about Key Opinion Leaders (KOLs) in healthcare
  • Build an end-to-end pipeline to analyze unstructured websites and medical documents, enabling semantic searches for KOL data in various languages
  • Collaborate with software developers to deploy models for information extraction using cloud infrastructure, ensuring quality and scalability across different regions and specialties

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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

  • Work anywhere
  • Personal development budget
  • Veeva charitable giving program
  • Fitness reimbursement
  • Life insurance + pension fund



Company values

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



Company HQ

Pleasanton



Founders

Peter Gassner (CEO)
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