Staff NLP Data Engineer and Team Lead

1 month ago

London, Greater London, United Kingdom GlaxoSmithKline Full time
About the Role

We are seeking a highly skilled Staff NLP Data Engineer and Team Lead to join our Data Engineering team at GlaxoSmithKline. As a key member of our team, you will be responsible for leading a team of NLP data engineers in delivering data and knowledge products that advance GSK R&D.

Key Responsibilities
  • Lead a team of NLP data engineers in delivering data and knowledge products that advance GSK R&D
  • Architect the data delivery and operational strategy for the NLP data engineering team
  • Partner with AIML and knowledge graph platform team to build, test, and deploy NLP pipelines, systems, and solutions
  • Partner closely with other data engineering leads to conceptualize the design of new data flows aimed at maximizing reuse and aligning with an event-driven microservice enable architecture
  • Apply graph-based data modelling techniques for efficient organization, integration, and data retrieval to ensure system flexibility and maintainability
  • Design innovative strategies beyond the current enterprise way of working to create a better environment for the end users
Requirements
  • Bachelor's degree in Data Engineering, Computer Science, Software Engineering, or related field
  • 8+ years of Data Engineering experience
  • Experience in Natural Language Processing algorithms and deep learning methods
  • Experience with building end-to-end systems based on machine learning or deep learning methods
  • Cloud experience (e.g., AWS, Google Cloud, Azure, Kubernetes)
What We Offer

As a Staff NLP Data Engineer and Team Lead at GlaxoSmithKline, you will have the opportunity to work on cutting-edge projects, collaborate with a talented team of engineers, and contribute to the development of innovative data and knowledge products. We offer a competitive salary, comprehensive benefits package, and opportunities for professional growth and development.

We are an equal opportunities employer and welcome applications from diverse candidates. If you are passionate about data engineering, NLP, and leadership, we encourage you to apply for this exciting opportunity.

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