At a Glance
- Tasks: Build and optimise ML models to revolutionise medicine discovery.
- Company: Join a global healthcare leader focused on innovation and collaboration.
- Benefits: Learn and grow with competitive perks tailored for your career stage.
- Other info: Inclusive workplace with opportunities for personal and professional development.
- Why this job: Make a real impact in drug discovery using cutting-edge AI technology.
- Qualifications: Experience in AI/ML engineering and strong software skills required.
The predicted salary is between 60000 - 80000 € per year.
Do you want to build foundational ML models that can transform how medicines are discovered, moving from large-scale biological image/cell data towards virtual experiments? In this senior, hands-on engineering role, you will help take cutting-edge ML from experimentation to robust, production-ready systems used by scientific partners across early research at Novo Nordisk.
Your new role
As an AI & ML Engineering Specialist, you will be a senior, hands-on technical contributor who bridges between the technical and scientific elements. You are expected to confidently translate complex ML into clear, usable outcomes for scientific stakeholders.
Key responsibilities include:
- Act as a technical specialist in designing, developing, and operating end-to-end machine learning and AI systems, for example supporting Biological Foundation Models (Bio AI).
- Work with researchers to train and optimise large scale ML models, pipelines, and agentic workflows under tight compute, latency, and robustness constraints, making deliberate trade-offs aligned with scientific and organisational priorities.
- Ensure the full ML lifecycle, from exploratory prototyping and experimentation to production deployment, monitoring, and continuous optimisation is implemented.
- Design, build & optimise autonomous and agent-based systems in a biological research context where appropriate.
- Work closely with stakeholders across biology, AI research, and adjacent areas, to clarify requirements and translate complex needs into scalable ML and agent-enabled solutions.
- Ensure technical, regulatory, and ethical excellence in all ML and agentic systems, embedding data protection, model governance, and responsible AI principles by design.
Your new department
You will join Bio Data & AI Engineering within AI & Digital Innovation (ADI) in R&D at Novo Nordisk and work with talented and dedicated colleagues in both UK, DK and US. ADI’s core mission is to speed up development, improve precision, and strengthen R&D by embedding AI, data science, and data at the heart of drug discovery and development. This includes accelerating the pipeline through computational methods and digital innovation. By leveraging data and AI, we aim to quickly identify drug candidates, reduce development time and costs, and better serve patients in line with Novo Nordisk’s goals.
Your skills and qualifications
We are looking for a senior engineer who stays hands-on and can move confidently between deep technical delivery and stakeholder collaboration.
What you bring:
- Bachelor’s or Master’s degree in Computer Science, Bioinformatics, Data Science, or a related field.
- Significant hands-on experience in AI or Machine Learning Engineering, delivering production-grade ML solutions in complex environments.
- Strong proficiency in software engineering with Python and experience with high-performance computing and/or cloud platforms (AWS and/or Azure).
- Hands-on experience with modern ML frameworks, such as PyTorch, Hugging Face, and SciKit-Learn, for training, evaluating and deploying large scale models.
- Proven experience designing and operating end-to-end ML pipelines, including ingestion, training, evaluation, deployment, monitoring.
- Experience with ML workflow orchestration and productionisation, e.g. using Nextflow or comparable orchestration frameworks.
- Familiarity with foundation models and/or self-supervised learning in scientific or life science domains.
- Practical experience with MLOps and CI/CD practices, including model versioning, automated validation, and lifecycle management.
- Demonstrated ability to collaborate with cross-functional stakeholders, translating complex technical work into practical outcomes.
What we offer:
There is, of course, more on offer here than the uniqueness of our culture and the extraordinary results we produce. Being part of a global healthcare company means opportunities to learn and develop are all around us, while our benefits are designed with your career and life stage in mind. We are an equal opportunities employer, and we commit to an inclusive recruitment process and equality of opportunity for all our job applicants. If you're a person with a disability, if you're neurodivergent, and need any adjustments to be made during the application and selection process, please send an email to ebhn@novonordisk.com.
AI & ML Engineering Specialist employer: Novo Nordisk
Novo Nordisk is an exceptional employer, offering a dynamic work environment in London where innovation meets healthcare. As part of a global leader in drug discovery, employees benefit from a culture that prioritises professional growth, collaboration across disciplines, and a commitment to ethical practices in AI and ML. With comprehensive benefits tailored to support both career advancement and personal well-being, this role provides a unique opportunity to contribute to meaningful advancements in medicine while working alongside talented colleagues in a supportive and inclusive atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land AI & ML Engineering Specialist
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and ML field on platforms like LinkedIn. Join relevant groups, attend webinars, and don’t be shy to ask for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to ML models or AI systems. This is your chance to demonstrate your hands-on experience and technical prowess, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex ML concepts in simple terms, as you'll need to bridge the gap between tech and science. Mock interviews can help you gain confidence!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Novo Nordisk and contributing to innovative drug discovery.
We think you need these skills to ace AI & ML Engineering Specialist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the AI & ML Engineering Specialist role. Highlight your hands-on experience with ML frameworks and any relevant projects you've worked on, as we want to see how you can bridge technical and scientific elements.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and ML in the context of drug discovery. Show us how your background makes you a perfect fit for our team and how you can contribute to our mission at Novo Nordisk.
Showcase Your Technical Skills:In your application, don't shy away from detailing your technical expertise. Mention specific tools and technologies you've used, like Python, PyTorch, or AWS. We love seeing candidates who can confidently translate complex ML concepts into practical solutions.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, you'll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Novo Nordisk
✨Know Your ML Models Inside Out
Make sure you can discuss the foundational ML models relevant to the role. Be prepared to explain how you've designed, developed, and optimised these models in past projects, especially in a biological context.
✨Bridge the Gap Between Tech and Science
Since this role involves translating complex ML concepts for scientific stakeholders, practice explaining your technical work in simple terms. Use examples from your experience where you successfully collaborated with researchers.
✨Showcase Your Hands-On Experience
Be ready to share specific instances where you've delivered production-grade ML solutions. Highlight your proficiency with tools like Python, PyTorch, and cloud platforms, and discuss how you've managed the full ML lifecycle.
✨Emphasise Collaboration Skills
This position requires working closely with cross-functional teams. Prepare to discuss how you've effectively communicated and collaborated with diverse stakeholders, ensuring that technical needs align with scientific goals.
