At a Glance
- Tasks: Lead the design and implementation of an AI/ML platform to enhance healthcare solutions.
- Company: Join a pioneering company transforming diabetes care and expanding into new health territories.
- Benefits: Enjoy a collaborative culture, remote work options, and recognition as one of the best workplaces.
- Other info: Be part of a diverse team focused on continuous learning and agile methodologies.
- Why this job: Make a real impact in healthcare while working with cutting-edge technology and innovative teams.
- Qualifications: Proven experience in AI/ML systems, cloud technologies, and leading technical teams is essential.
The predicted salary is between 43200 - 72000 £ per year.
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.
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 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 qualifications:
- 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.
AI/ML Platform Engineer in London employer: Novo Nordisk A/S
Novo Nordisk is an exceptional employer, renowned for its commitment to innovation and employee well-being, as evidenced by accolades like Best Places to Work. With a strong focus on collaboration and continuous learning, employees are empowered to grow their skills in a dynamic environment that champions cutting-edge AI/ML initiatives. Located in a vibrant setting, the company offers unique opportunities to work alongside industry leaders while making a meaningful impact on global health challenges.
StudySmarter Expert Advice🤫
We think this is how you could land AI/ML Platform Engineer in London
✨Tip Number 1
Network with professionals in the AI/ML field, especially those who have experience in cloud platforms like Azure and Databricks. Attend industry meetups or webinars to connect with potential colleagues and learn about their experiences at Novo Nordisk.
✨Tip Number 2
Familiarise yourself with the latest advancements in AI/ML technologies and tools. Being well-versed in current trends will not only boost your confidence but also demonstrate your commitment to continuous learning during interviews.
✨Tip Number 3
Prepare to discuss your previous experiences leading technical teams and implementing AI/ML solutions. Be ready to share specific examples of how you’ve driven innovation and collaboration in past roles, as this aligns with the culture at Novo Nordisk.
✨Tip Number 4
Engage with the pharmaceutical value chain and understand how AI/ML can impact various stages. This knowledge will help you articulate how your skills can contribute to Novo Nordisk's mission and goals during discussions with hiring managers.
We think you need these skills to ace AI/ML Platform Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in AI/ML systems, cloud providers like Azure and Databricks, and any leadership roles you've held. Use keywords from the job description to align your skills with what they are looking for.
Craft a Compelling Cover Letter:In your cover letter, express your passion for innovation and collaboration. Mention specific projects or experiences that demonstrate your ability to drive AI/ML initiatives and lead technical teams effectively.
Showcase Technical Skills:Clearly outline your technical skills related to AI/ML architecture, DevOps practices, and coding abilities. Provide examples of how you've applied these skills in previous roles, especially in regulated environments.
Highlight Continuous Learning:Emphasise your commitment to staying updated with technological advancements in AI/ML. Mention any relevant courses, certifications, or conferences you’ve attended that showcase your dedication to continuous improvement.
How to prepare for a job interview at Novo Nordisk A/S
✨Understand the Company’s Mission
Before your interview, make sure you understand Novo Nordisk's mission and how they are transforming their business. Familiarise yourself with their focus on diabetes, obesity, and rare diseases, as this will help you align your answers with their goals.
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with AI/ML systems, cloud providers like Azure and Databricks, and DevOps practices. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your capability for the role.
✨Emphasise Collaboration Skills
Since the role involves working with both technical and non-technical colleagues, be ready to share examples of how you've effectively communicated complex concepts in the past. This will show that you can bridge the gap between different teams.
✨Stay Current with Industry Trends
Demonstrate your commitment to continuous learning by discussing recent advancements in AI/ML and how they could benefit Novo Nordisk. This shows that you are proactive and passionate about innovation, which is crucial for this position.
