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For Companies At a Glance
- Tasks: Develop and maintain predictive models to advance drug discovery.
- Company: Join a global healthcare leader dedicated to long-term health solutions.
- Benefits: Opportunities for learning, competitive benefits, and a supportive work culture.
- Why this job: Make a real-world impact in healthcare using cutting-edge AI and ML technologies.
- Qualifications: Bachelor's or Master's in relevant fields with 4-6 years of experience.
- Other info: Dynamic environment with a commitment to innovation and inclusivity.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Research & Development London or Oxford, United Kingdom
Are you an experienced Machine Learning (ML) professional with strong skills in AI, data structures, and algorithms? Do you want to use your expertise to build, deploy, and maintain predictive models for molecular properties that advance drug discovery? Can you ensure a high level of technical quality while working across a global pharmaceutical organisation to deliver robust, scalable ML solutions? Then you could be the one we are looking for. Join us as Machine Learning Engineer and help turn data and models into real-world impact for patients.
Your new role
As our new Machine Learning Engineer, you will have a wide range of tasks such as:
- Develop modelling code in close collaboration with modelling scientists and subject matter experts
- Train models and monitor performance, and develop analytics and experiments to improve the process
- Communicate about tasks and coordinate work with the team in an agile way
- Participate actively in code review (both as reviewer and reviewee)
- Present work regularly both within the team and to external stakeholders
- Study new libraries and technologies to evaluate dependencies and ensure continuous technical learning
Please note that Novo Nordisk does not offer relocation for this role. We welcome applications from candidates who are locally based and able to work on-site.
Your new department
The Data & AI Engineering area is part of AI & Digital innovation and consists of 4 engineering teams. We are transforming the way we do drug discovery, by embedding data & ML engineering practices in the scientific processes ripe for innovation. We accelerate insights & digitalisation by professionalising the use of scientific data and AI models.
Your skills & qualifications
We’re seeking candidates who fulfil the following prerequisites:
- You hold a Bachelor’s degree or Master’s degree in computer science, electrical engineering, physics, math, statistics, information technology specialised within AI/ML or data and analytics, or similar
- You have 4-6 years’ experience from a similar position in a large enterprise company. Experience from the pharmaceutical industry is preferred
- You have significant working experience with using the Python language, numpy, scikit-learn, PyTorch, and PySpark libraries
- You possess high proficiency in multiple AI/ML frameworks and techniques, data structures and algorithms
- You have experience in DevOps practices like CICD, containerisation, and testing
- Experience with managing cloud infrastructure is an advantage
- You are fluent in English both written and spoken
As a person you are open-minded, and you have an eager attitude towards learning. You are innovative and you thrive in a dynamic environment.
Working at Novo Nordisk
Every day we seek the solutions that defeat serious chronic diseases. To do this, we approach our work with determination, constant curiosity and a commitment to finding better ways forward. For over 100 years, this dedication has driven us to build a company focused on lasting change for long-term health. One where diverse thinking, shared purpose and mutual respect come together to create extraordinary results. When you join us, you’re not just starting a job – you’re becoming part of a story that spans generations.
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.
Application Support
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. Please include your name, the role you are interested in and the type of adjustment your need.
Deadline 15th of February 2026
You do not need to attach a cover letter to your application, but please include a few sentences about why you are applying in your resume or CV. To ensure an efficient and fair recruitment process, please refrain from adding a photo in your CV. We will be reviewing application on an ongoing basis, so please submit your application at your earliest convenience.
At Novo Nordisk, we’re not chasing quick fixes – we’re creating lasting change for long-term health. For over 100 years, we’ve been driven by a single purpose: to defeat serious chronic diseases and help millions of people live healthier lives. This dedication fuels our constant curiosity and inspires us to push the boundaries of what’s possible in healthcare. We embrace diverse perspectives, seek out bold ideas, and build partnerships rooted in shared purpose. Together, we’re making healthcare more accessible, treating and preventing diseases, and pioneering solutions that create change spanning generations. When you join us, you become part of something bigger – a legacy of impact that reaches far beyond today.
Machine Learning Engineer employer: Novo Nordisk
Contact Detail:
Novo Nordisk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of hearing about job openings before they even hit the market.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and algorithms. Practice explaining your past projects and how you tackled challenges. Confidence and clarity can make a huge difference in how you come across.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Novo Nordisk.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Show Your Passion for ML: When you're writing your application, let your enthusiasm for machine learning shine through! Share specific examples of projects you've worked on and how they relate to the role. We love seeing candidates who are genuinely excited about using their skills to make a difference.
Tailor Your CV: Make sure your CV is tailored to the job description. Highlight your experience with Python, AI frameworks, and any relevant projects in the pharmaceutical industry. We want to see how your background aligns with what we're looking for, so don’t hold back!
Keep It Clear and Concise: While we appreciate detail, clarity is key! Make sure your application is easy to read and straight to the point. Use bullet points where possible and avoid jargon that might confuse us. We want to understand your skills and experiences without wading through unnecessary fluff.
Apply Early!: Don’t wait until the deadline to submit your application. We review applications on an ongoing basis, so the sooner you apply, the better your chances! Plus, it gives you more time to prepare for potential interviews. Head over to our website and get your application in!
How to prepare for a job interview at Novo Nordisk
✨Know Your Tech Inside Out
Make sure you’re well-versed in the key technologies mentioned in the job description, like Python, numpy, and PyTorch. Brush up on your knowledge of AI/ML frameworks and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Use examples that highlight your ability to develop and train models, as well as your experience with analytics and performance monitoring.
✨Communicate Clearly and Collaboratively
Since the role involves working closely with teams, practice explaining complex concepts in simple terms. Be ready to demonstrate your experience in agile environments and how you’ve coordinated tasks with team members.
✨Stay Curious and Open-Minded
Emphasise your eagerness to learn new libraries and technologies. Share examples of how you’ve kept up with industry trends or improved your skills, showing that you’re not just a techie but also someone who thrives on innovation.
