GenAI Platform Engineer II

GlaxoSmithKline; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a skilled GenAI Platform Engineer II to join their innovative team. This role involves developing advanced GenAI capabilities, including large language model training and multi-agent applications, to enhance medical discovery. You'll collaborate with various teams, uphold engineering best practices, and contribute to a culture of continuous development. This position offers a unique opportunity to work on cutting-edge AI technologies that aim to transform healthcare and improve lives. If you're passionate about technology and eager to make an impact, this could be the perfect fit for you.

Qualifications

• Significant industry experience in software engineering required.
• Deep knowledge of Python and modern software development tools preferred.

Responsibilities

• Key engineer for the GenAI platform, providing technical expertise.
• Co-design major software components and contribute to production code.

Skills

Python

Software Engineering

AI/ML frameworks

Cloud Computing

DevOps

CI/CD

MLOps tools

Agile Methodologies

Education

Bachelor's in Computer Science

Master's in Software Engineering

PhD in related field

Tools

Docker

Kubernetes

Git

Azure DevOps

Jenkins

Vertex AI

MLFlow

Langchain

Job description

The Onyx Research Data Tech organization is GSK’s Research data ecosystem, capable of bringing together, analyzing, and powering data exploration at scale. We partner 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 better predict and treat diseases.

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

• Creating a next-generation, metadata- and automation-driven data experience for GSK’s scientists, engineers, and decision-makers to boost productivity and reduce data handling time.

• Providing top-tier AI/ML, GenAI, and data analysis environments to enhance predictive capabilities and attract leading talent.

• Engineering our data at scale as a unified asset to unlock its full value in real-time.

At GSK, we envision a future where AI and GenAI enable the development of transformational medicines using genetics, functional genomics, and machine learning. AI will also improve diagnostics and medication use, helping people live healthier, longer lives. This ambitious vision requires cutting-edge AI and Machine Learning products, and we seek a highly skilled GenAI Platform Engineer II to realize this vision.

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

The team is built on principles of ownership, accountability, continuous development, and collaboration. We value long-term hires and support career growth, dedicating 20% of time to personal development.

In this role, you will:

• Serve as a key engineer for the GenAI platform, providing technical expertise to related teams such as AIML Platform, DevOps, Compute, and Cloud.
• Co-design major software components of the GenAI Platform and contribute to production code in Python, participating in design and PR reviews.
• Be responsible for key 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 expertise.
• Design innovative strategies to improve the end-user environment.
• Uphold engineering best practices, including CI/CD, and contribute to ongoing improvements.

Why you?

Qualifications & Skills:

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

Preferred Qualifications & Skills:

• Deep knowledge of Python, including tools for documentation, testing, and operations.
• Expertise in modern software development tools (git, DevOps, monitoring).
• Cloud experience (AWS, Google Cloud, Azure), infrastructure-as-code tools, and scalable cloud compute technologies.
• Hands-on experience with large-scale LLM training and deployment.
• Experience with agentic AI frameworks (Langgraph, Langchain) and building multi-agent applications.
• Deep experience with ML frameworks (PyTorch, TensorFlow) and libraries (Huggingface, Deepspeed).
• Knowledge of ML performance tuning, multi-GPU/TPU training, and distributed systems.
• Experience with CI/CD pipelines and tools (Azure DevOps, Jenkins, etc.).
• Familiarity with ML workflow orchestration tools (Vertex Pipelines, MLFlow).
• Experience with MLOps tools (Kubeflow, Vertex AI, vLLM, Ollama).
• Proficiency with Docker, Kubernetes, and CNCF tools, including Helm.
• Understanding of HPC systems and performance optimization.
• Engagement with open-source AIML tools and communities.
• Experience working in agile environments with Jira and Confluence.

Application deadline: Thursday 29th May 2025 (COB). Please include a cover letter or CV explaining how you meet the role's competencies.

We value diversity and provide adjustments for applicants as needed. Contact us at [e-mail] or 0808 234 4391 for support.