Cloud Engineer ofertas em Grã-Bretanha

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The Onyx Research Data Tech organization is GSK’s research data ecosystem designed to bring together, analyze, and explore data at scale. We collaborate with scientists across GSK to understand their challenges and develop tailored solutions, ensuring they have timely access to data and insights to accelerate medical discovery. This ultimately helps us better understand and combat diseases in innovative ways.

Onyx is a comprehensive team comprising product and portfolio leadership, data engineering, infrastructure, DevOps, data/metadata/knowledge platforms, and AI/ML analysis platforms, all focused on:

1. Building a next-generation, metadata- and automation-driven data experience for GSK’s scientists, engineers, and decision-makers to boost productivity and minimize time on data mechanics.
2. Providing top-tier AI/ML and data analysis environments to enhance predictive capabilities and attract talented professionals.
3. Engineering our data at scale as a unified asset to unlock its value and generate real-time insights.

We envision a future where AI enables the development of transformative medicines through genetics, functional genomics, and machine learning, as well as improving diagnostics and treatment methods. To realize this vision, we seek a highly skilled AI/ML Platform Engineer II to help us innovate and excel.

Our AI/ML Platform Engineering team develops a leading platform of tools and services for MLOps/DevOps across Cloud and HPC environments. Our aim is to reduce development time and elevate engineering standards across AI/ML teams and projects.

The team values ownership, accountability, continuous learning, and collaboration. We are committed to your career growth, supporting personal development with 20% of your time dedicated to learning.

• Serve as a core engineer for the AIML platform, providing technical expertise to related teams.
• Co-design major software components, contribute to production code in Python, and participate in design and PR reviews.
• Take responsibility for key platform components, focusing on usability, reproducibility, and performance at scale.
• Integrate with DataOps and Data Engineering products for optimal ML training performance.
• Participate in scrum teams, offering technical guidance.
• Innovate strategies and workflows to improve user experience.
• Promote best practices in engineering discipline, including CI/CD processes, and contribute to continuous improvements.

Required:

• Bachelor’s, Master’s, or PhD in Computer Science, Software Engineering, or related field.
• Industry experience in software engineering within AIML and MLOps roles.

Preferred:

• Deep Python expertise, including documentation, testing, and operations tools.
• Proficiency with modern software development tools (git, DevOps tools, monitoring).
• Cloud experience (AWS, Google Cloud, Azure), including infrastructure-as-code (Terraform, Ansible, Packer) and scalable compute technologies.
• Hands-on with ML frameworks like PyTorch or TensorFlow, and libraries such as Huggingface or Deepspeed.
• Experience with ML performance tuning, multi-GPU/TPU training, large model deployment.
• CI/CD implementation experience, including tools like Azure DevOps, Jenkins, or GitLab.
• Experience with ML pipelines (Vertex Pipelines, MLFlow), MLOps tools (Kubeflow, Vertex AI), containerization (Docker, Kubernetes), and HPC systems.
• Active engagement with open-source tools and communities.
• Agile development experience with Jira and Confluence.

Closing date for applications: Thursday, 29th May 2025 (COB). Please include a cover letter or CV demonstrating your competencies. For adjustments or inquiries, contact us at [email] or 0808 234 4391. We value diversity and are committed to equal opportunity employment.