Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Machine Learning Scientist

Novo Nordisk A/S
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Scientist

Senior Machine Learning Scientist

Senior Machine Learning Scientist

Senior Machine Learning Scientist (User Modelling/ Representation Learning) - Viator

Senior Machine Learning Scientist (Viator)

Senior Machine Learning Scientist (Recommender Systems) - Viator

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

We are seeking a skilled Machine Learning Scientist to join our dynamic team in London. You will play a pivotal role in supporting our target and biomarker discovery pipeline through the development of cutting-edge AI/Machine Learning (ML) methodologies.
In this role, you will:

 Lead research and development efforts on representation learning methods for biological data. Ensure that AI/ML methods have a meaningful impact on Novo Nordisk’s research portfolio. Collaborate closely with key departments, including computational genetics, biology, and drug design, to drive AI advancements across the organization. Stay at the forefront of AI/ML research, focusing on deep learning, representation learning, and multi-modal data integration. Present findings and engage with stakeholders through reports, presentations, and scientific publications. This is a hybrid role, requiring two days per week in our new London office at King’s Cross.


Qualifications

To thrive in this role, we imagine that you have:

A PhD in AI/ML or bioinformatics, with hands-on experience in developing machine learning models. Industrial or post-doctoral experience in AI/ML within the life sciences domain. Expertise in predictive and generative machine learning models, particularly for single-cell RNA-seq, OMICS, genetics, or real-world data. Solid proficiency in Python and deep learning libraries such as PyTorch. Familiarity with multi-modal data integration, bioinformatics, and representation learning. A strong passion for and experience in writing publications. Strong communication skills to effectively convey complex technical concepts to diverse audiences.

About the department

The Machine Intelligence department at Novo Nordisk is at the forefront of integrating AI and machine learning with biological data to drive scientific discovery. Based in London, at the heart of the Knowledge Quarter, you will be part of a team of experts who collaborates closely with academia and industry to push the boundaries of what's possible in target and biomarker discovery. Our dynamic and innovative environment fosters creativity and collaboration, making it an exciting place to work and grow.

 In this role, you will report directly to the Head of the Department for Biological Knowledge Representation and join a growing team of four professionals. 
You will collaborate cross-functionally with larger teams, developing computational methods to support areas such as computational biology, human genetics, computational drug design, and precision health, helping to advance their work.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.