Data and AI/ML Engineering Manager

4 weeks ago

London, Greater London, United Kingdom GlaxoSmithKline Full time

Job Summary

We are seeking a highly skilled Data and AI/ML Engineering Manager to lead our team in developing innovative solutions to drive business value. As a key member of our Development Tech and R&D teams, you will collaborate with architects, engineers, data modelers, product owners, and other stakeholders to design and implement complex data and AI systems.

Key Responsibilities

  • Leadership and Collaboration
    • Lead, mentor, and manage a team of data engineers, machine learning engineers, and software engineers.
    • Foster a collaborative and inclusive team environment.
    • Set clear team goals, delegate tasks, and ensure alignment with project objectives and deadlines.
    • Work with other teams to define DevOps and data platform practices to meet the requirements of clinical solutions.
  • Technical Expertise
    • Provide technical expertise in data engineering, software architecture, machine learning model development, and implementation.
    • Ensure the quality and scalability of data pipelines, ML models, and AI systems.
    • Conduct PoCs of new technologies and help embed them in product teams.
    • Maintain best practices for engineering and architecture on our Confluence site.
  • Project Management
    • Oversee planning, execution, and delivery of data and AI projects.
    • Coordinate with cross-functional teams to ensure seamless integration of AI solutions.
    • Manage project timelines, budgets, and resources effectively.
  • Innovation and Strategy
    • Develop strategies for leveraging data and AI to solve business problems and create new opportunities.
    • Identify and prioritize AI use cases that drive business value.
    • Promote a culture of innovation and continuous improvement.
  • Compliance and Standards
    • Ensure technical delivery is fully compliant with GSK Security, Quality, and Regulatory standards.
    • Ensure the use of relevant R&D Tech/central services and collaborate with service partners in the identification and delivery of service improvements.
    • Pro-actively engage in experimentation and innovation to drive relentless improvement.
  • Stakeholder Engagement
    • Collaborate with business stakeholders to translate needs into technical requirements.
    • Communicate complex technical concepts to non-technical stakeholders.
    • Ensure alignment between business objectives and data/AI initiatives.

Requirements

We are looking for professionals with the following skills and qualifications:

  • Proficient with at least 3 of the following skills and able to demonstrate knowledge and value in all: AI/ML skills, software development, architecture design & technology platforms/frameworks, data engineering, agile, DevOps & automation.
  • Proficiency in programming languages: Python (preferred), Java, R, JavaScript.
  • Understanding of machine learning and AI, including generative AI algorithms and data pre-processing techniques.
  • Expertise in generative models, developing domain-specific models, and fine-tuning foundation models like GPT-4.
  • Strong proficiency in AI frameworks such as TensorFlow and PyTorch.
  • Strong understanding of NLP.
  • Familiarity with software development methodologies.
  • Experience with cloud computing platforms, especially in Azure for AI deployment.
  • Ability to process and visualize data effectively.
  • Good understanding of software paradigms: domain-driven, procedural, data-driven, object-oriented, functional.
  • Demonstrable depth in more than one area of software engineering and technology.

Preferred Qualifications

If you have the following characteristics, it would be a plus:

  • Subject matter expertise in clinical development.
  • Understanding of relevant technical and scientific domains to meet rapidly evolving R&D strategy and ambition.
  • Experience in applying AI/ML, data curation, virtualization, predictive modeling, workflow, and advanced visualization techniques to enable decision support across multiple products and assets.
  • Experience in agile software development and microservices using Kubernetes and Docker.

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