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
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist - Computer Vision

Senior Data Scientist - Consumer Behaviour - exciting ‘scale up’ proposition

Senior Computer Vision Engineer

Lead Data Scientist

Artificial Intelligence

Senior Machine Learning Engineer

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.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.

The Best Free Tools & Platforms to Practise AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.