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The Compute Platform Engineer II develops tools and services for a hybrid computing platform, focusing on optimizing application scalability, workflow management, and software development best practices.

Design, build, and operate data frameworks, pipelines, and services to support ML engineering. Collaborate with cross-functional teams, implement APIs and cloud infrastructure, apply CI/CD and DevOps best practices, ensure logging/lineage, mentor peers, and explore GenAI/agentic tools to improve production ML workflows.

The AI/ML Engineer will design and implement machine learning applications for healthcare using genomic and clinical data, collaborating with researchers and experts.

The Senior Governance Engineer will design and deploy governance solutions, ensure compliance, collaborate with teams, and mentor junior members in GSK's data governance initiatives.

The Senior Data Engineer leads the design, delivery, and maintenance of data services and pipelines, focusing on best practices and technical guidance to optimize data solutions and support AI/ML capabilities.

The Oncology Account Manager is responsible for driving sales and managing business activities in a defined area, focusing on customer relationships and business plan implementation within Oncology. This role involves collaborating cross-functionally and engaging with key prescribers to promote GSK therapies.

Lead design, build, and operation of a hybrid cloud/HPC compute platform enabling interactive and large-scale batch computing. Drive CI/CD, container builds, performance tuning, observability, and migration of HPC users. Mentor engineers, ensure code quality, testing, documentation, and platform abstractions for logging and lineage.

The Senior AI/ML Platform Engineer will build AI/ML tools and services, contribute to platform design, and ensure usability and performance at scale, while collaborating closely with various teams.