AI/ML Platform Engineer

Novo Nordisk A/S; London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading company in healthcare innovation seeks an AI/ML Engineer to design and implement a robust platform that leverages vast data assets. This role involves providing technical guidance to a talented team and collaborating across departments to drive strategic AI initiatives, ultimately improving patient outcomes.

Qualifications

• Several years of professional experience in architecture, development, and leading technical teams.
• Deep understanding of AI/ML systems, from experimentation to production.
• Knowledge of the software development lifecycle in the life sciences industry.

Responsibilities

• Design, build, deploy and maintain AI/ML platforms across business domains.
• Define standards for AI/ML operations and processes.
• Engage with stakeholders to identify AI/ML opportunities.

Skills

Analytical skills

Problem-solving

Coding skills

Collaboration

Education

Degree in computer science, software development or engineering

Tools

Databricks

AWS

MS Azure

Job description

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For over 100 years we have been driving change to defeat diabetes, but we know that what got us here today is not necessarily what will make us successful in the future. We are now transforming our business and taking our expertise into new territories including obesity and rare blood and endocrine diseases.

Our story is one of incredible growth and success, which has culminated in receiving many prestigious awards, such as Best Places to Work and Vitality – Britain’s Healthiest Workplace.

The Position

As AI/ML Engineer with a Platform focus you will be driving the architecture and implementation of a platform that enables Novo Nordisk to utilise its vast data assets. You will be instrumental in building the foundations that enable AI/ML applications across the enterprise, ultimately benefiting our patients.
In your role you will provide technical guidance, coaching, and motivation to a team of skilled AI/ML engineers and cloud developers, fostering a culture of collaboration, innovation, and excellence.
Moreover, you will:

• Design, build, deploy and maintain an AI/ML platform serving across business domains while driving strategic AI initiatives in collaboration with other departments.
• Define standards and best practices around end-to-end AI/ML operations and processes by optimization and collaboration with partners.
• Engage and collaborate with stakeholders and both technical and non-technical colleagues, assisting in understanding AI/ML opportunities in the enterprise and how to enable them.
• Stay abreast of technological advancements, recommend innovations to enhance our AI/ML platform capabilities and maintain a strong international network in relevant technological fields.
• Build local competencies through training and knowledge sharing, collaborating with leading external partners from academia and industry to build and maintain leadership in AI/ML.

Qualifications

You are a proactive, driven individual with a passion for innovation, continuous improvement and embraced collaboration who can effectively communicate complex technical concepts to both technical and non-technical audiences. You have a a deep understanding of AI/ML systems, the journey from experimentation to production deployment. Along the degree in computer science, software development or engineering, we expect you to meet the following qualification:

• Several years of professional experience in technical solution architecture, development and deployment, and leading technical teams operating in a regulated environment
• Extensive knowledge of leading cloud providers, preferably Azure and Databricks.
• Strong analytical skills and proficiency in problem-solving along with coding skills and ability to inspire excellent engineering practices.
• Hands-on experience with cloud agnostic infrastructure as code.
• Experience with cloud and on-premises High Performance Compute.
• Significant experience with DevOps practices, CI/CD, containerization, and orchestration tools.
• Deep technical understanding of AI/ML systems and architecture at enterprise scale.
• Knowledge of software development lifecycle in the life sciences industry and applied AI/ML.
• Understanding of pharmaceutical value chain and how to collaborate across the enterprise to bring change and accelerate impact.

About the Department

Our department comprises four key teams: AI Engineering, AI Enablement, Responsible AI, and Intelligent Automation, collaborating on everything from AI innovation and infrastructure to deploying cutting-edge AI products. Our work spans research, commercial, and production environments, with a core focus on industrialising and democratising AI across Novo Nordisk, as part of the Global Data & AI area. We leverage scalable data platforms, MLOps, reference architectures, and modular components across the entire data and ML lifecycle. We are cloud-native, primarily working with Databricks, AWS and MS Azure. We embrace agility, diverse thinking, and continuous learning, fostering a culture of feedback, honesty, and fun.