The Onyx Research Data Tech organization is GSK’s Research data ecosystem which has the capability to bring together, analyze, and power the exploration of data at scale. We partner with scientists across GSK to define and understand their challenges and develop tailored solutions that meet their needs. The goal is to ensure scientists have the right data and insights when they need it to give them a better starting point for and accelerate medical discovery. Ultimately, this helps us get ahead of disease in more predictive and powerful ways.

Onyx is a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML, GenAI, and analysis platforms, all geared toward:

• Building a next-generation, metadata- and automation-driven data experience for GSK’s scientists, engineers, and decision-makers, increasing productivity and reducing time spent on “data mechanics”.

• Providing best-in-class AI/ML, GenAI, and data analysis environments to accelerate our predictive capabilities and attract top-tier talent.

• Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time.

Purpose of Onyx

At GSK we see a world in which advanced applications of AI and GenAI will allow us to develop transformational medicines using the power of genetics, functional genomics, and machine learning. AI will also play a role in how we diagnose and use medicines to enable everyone to do more, feel better, and live longer. It is an ambitious vision that will require the development of products at the cutting edge of AI and Machine Learning. We're looking for a highly skilled GenAI Platform Engineer II to help us make this vision a reality.

Our GenAI Engineering team is focused on developing first-in-class GenAI capabilities at scale, including complex agent architectures, LLM training, optimized LLM deployments and end-to-end production-grade multi-agent applications that impact all R&D teams at GSK.

The GenAI team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career from day one, supporting individuals in dedicating 20% of their time towards personal development.

In this role you will

• Serve as a key engineer for the GenAI platform and contribute technical expertise to teams in closely aligned technical areas such as AIML Platform, DevOps, Compute and Cloud.

• Co-design major software components of the GenAI Platform and contribute to development of production code in Python and participate in both design reviews and PR reviews.

• Accountable for key component(s) of GenAI Platform with particular focus on usability, reproducibility and performance at scale

• Integrate with DataOps, and Data Engineering products for best performance and ease of use in ML training at scale

• Participate in scrum teams and contribute technical expertise to teams in closely aligned technical areas.

• Able to design innovative strategies and ways of working to create a better environment for the end users

• Standard bearers for proper ways of working and engineering discipline, including CI/CD best practices and proactively contribute to improvements within your engineering area.

Why you?

Qualifications & Skills:

We are looking for professionals with these required skills to achieve our goals:

• Bachelor’s, Master’s or PhD degree in Computer Science, Software Engineering, or related discipline.

• Significant experience in industry in software engineering

Preferred Qualifications & Skills:

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

• Deep knowledge and use of Python programming language including toolchains for documentation, testing, and operations / observability

• Deep expertise in modern software development tools / ways of working (e.g. git/GitHub, DevOps tools, metrics / monitoring, …)

• Cloud expertise (e.g., AWS, Google Cloud, Azure), including infrastructure-as-code tools (Terraform, Ansible, Packer, …) and scalable cloud compute technologies, such as Google Batch and Vertex AI

• Hands-on experience with large-scale LLM training and optimized deployments

• Hands-on experience with frameworks for building agentic AI systems, such as Langgraph, Langchain and utilizing them in building end-to-end multi-agent applications

• Deep hands-on experience with ML frameworks such as PyTorch or TensorFlow as well as external libraries such as Huggingface and/or Deepspeed.

• Experience with ML application performance tuning and optimization, both for ML training and inference/deployment, including large scale multi-GPU, and/or multi-TPU multi-node distributed training for large models such as LLMs.

• Experience with CI/CD implementations using git and a common CI/CD stack (e.g., Azure DevOps, CloudBuild, Jenkins, CircleCI, GitLab)

• Experience in ML workflow orchestration and pipelines with tools such as Vertex Pipelines, MLFlow, etc.

• Experience with MLOps tools and model deployments (including LLMs) such as Kubeflow, Vertex AI Predictions, vLLM, Ollama

• Deep expertise with Docker, Kubernetes, and the larger CNCF ecosystem including experience with application deployment tools such as Helm

• Experience with High-Performance Computing (HPC) at both at software stack as well as hardware level and understanding performance within the HPC systems

• Deep familiarity with the tools, techniques, optimizations in AIML and AIML Platform/MLOps space, including engagement with the open-source community (and potentially making contributions to such tools)

• Demonstrated excellence with agile software development environments using tools like Jira and Confluence

Closing Date for Applications: Sunday 21st September 2025 (COB)

Please take a copy of the Job Description, as this will not be available post closure of the advert.
When applying for this role, please use the ‘cover letter’ of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.

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Why GSK?
Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.

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