GenAI Platform Engineer II

TN United Kingdom; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An innovative organization is seeking a skilled GenAI Platform Engineer II to join their dynamic team. This role offers a unique opportunity to work on advanced GenAI capabilities, including LLM training and deployment, while collaborating with top scientists to enhance medical discovery. You'll play a crucial role in developing cutting-edge solutions that improve usability and performance at scale. The company values ownership and continuous development, providing an environment where your contributions can significantly impact the future of healthcare. If you're passionate about AI and want to be part of a transformative journey, this role is for you.

Benefits

Flexible working options

Diversity and inclusion initiatives

Accommodations for applicants with disabilities

Qualifications

• Significant industry experience in software engineering.
• Deep Python expertise, including documentation and testing.
• Hands-on experience with large-scale LLM training.

Responsibilities

• Provide technical expertise in areas like AIML Platform and Cloud.
• Co-design software components and contribute to development.
• Integrate with DataOps and Data Engineering products.

Skills

Python

AI/ML Platform

Cloud Platforms (AWS, Google Cloud, Azure)

CI/CD Processes

MLOps Tools

DataOps

Agile Methodologies

Education

Bachelor's in Computer Science

Master's in Software Engineering

PhD in related field

Tools

Docker

Kubernetes

Jira

Confluence

PyTorch

TensorFlow

Job description

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About Onyx Research Data Tech

The Onyx Research Data Tech organization is GSK’s research data ecosystem, designed to bring together, analyze, and facilitate data exploration at scale. We collaborate with scientists across GSK to understand their challenges and develop tailored solutions, ensuring they have the right data and insights to accelerate medical discovery and stay ahead of disease.

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

• Building a next-generation, metadata- and automation-driven data experience for GSK’s scientists, engineers, and decision-makers, enhancing productivity and reducing time on data mechanics.
• Providing top-tier AI/ML, GenAI, and data analysis environments to boost predictive capabilities and attract leading talent.
• Scaling our data as a unified asset to unlock its value in real-time.

We envision a future where AI and GenAI enable the development of transformative medicines using genetics and functional genomics, impacting diagnosis and treatment to improve lives. To realize this vision, we seek a highly skilled GenAI Platform Engineer II.

Team Focus

Our GenAI Engineering team develops advanced GenAI capabilities, including complex agent architectures, large language model (LLM) training, optimized deployments, and multi-agent applications impacting R&D teams across GSK.

The team values ownership, accountability, continuous development, and collaboration, supporting long-term growth and personal development, with 20% of time allocated for this purpose.

Role Responsibilities

• Serve as a key engineer for the GenAI platform, providing technical expertise in areas like AIML Platform, DevOps, Compute, and Cloud.
• Co-design software components and contribute to development, design reviews, and pull request reviews in Python.
• Manage key components of the GenAI Platform 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 and innovative strategies to improve end-user environments.
• Uphold engineering discipline and best practices, including CI/CD processes, and contribute to continuous improvement.

Qualifications & Skills

Required

• Bachelor’s, Master’s, or PhD in Computer Science, Software Engineering, or related field.
• Significant industry experience in software engineering.

Preferred

• Deep Python expertise, including documentation, testing, and operations.
• Proficiency with modern development tools and cloud platforms (AWS, Google Cloud, Azure), including infrastructure-as-code.
• Hands-on experience with large-scale LLM training and deployment, AI frameworks (PyTorch, TensorFlow), and multi-GPU/TPU training.
• Experience with CI/CD tools, ML pipelines, MLOps tools, Docker, Kubernetes, HPC, and open-source AI tools.
• Familiarity with agile environments and tools like Jira and Confluence.

Application Details

Closing date for applications: Thursday 29th May 2025 (COB). Use your cover letter or CV to demonstrate how you meet the role's competencies.

Additional Information

GSK is committed to diversity and inclusion, offering flexible working options and accommodations for applicants with disabilities. For adjustments or inquiries, contact us at [email] or 0808 234 4391.