At a Glance
- Tasks: Build and optimise ML models to revolutionise medicine discovery.
- Company: Join Novo Nordisk, a global leader in healthcare innovation.
- Benefits: Learn and grow with competitive benefits tailored for your career stage.
- Other info: Collaborate with talented teams across the UK, DK, and US.
- Why this job: Make a real impact in healthcare by transforming scientific research with AI.
- 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.
Working at Novo Nordisk
Every day we seek the solutions that defeat serious chronic diseases. For over 100 years, this dedication has driven us to build a company focused on lasting change for long‑term health. When you join us, you're becoming part of a story that spans generations.
What we offer
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.
Deadline: 31 May 2026.
AI & ML Engineering Specialist in London employer: Novo Nordisk A/S
At Novo Nordisk, we are committed to transforming the future of healthcare through innovative AI and ML solutions. Our collaborative work culture fosters continuous learning and development, ensuring that our employees thrive in their careers while making a meaningful impact on patients' lives. With a focus on ethical excellence and cutting-edge technology, we offer a unique opportunity to be part of a global team dedicated to advancing drug discovery and development.
StudySmarter Expert Advice🤫
We think this is how you could land AI & ML Engineering Specialist in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and ML field on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to ML models and AI systems. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've tackled challenges in past projects and how you can bridge tech with scientific needs.
✨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.
We think you need these skills to ace AI & ML Engineering Specialist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI & ML Engineering Specialist role. Highlight your hands-on experience with ML frameworks and any relevant projects that showcase your ability to 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 transforming drug discovery through AI and how your skills align with the responsibilities outlined in the job description.
Showcase Your Technical Skills:Don’t just list your skills; demonstrate them! Include specific examples of how you've designed and operated end-to-end ML systems, and mention any experience with cloud platforms like AWS or Azure.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at Novo Nordisk!
How to prepare for a job interview at Novo Nordisk A/S
✨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 communicated with non-technical teams.
✨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 collaborated with researchers or other stakeholders in the past, focusing on how you translated their needs into scalable ML solutions.
