AI & ML Engineering Specialist

Novo Nordisk
London, GB
On-site

Why this role

Pace
Fast Paced
Collaboration
High
Autonomy
Medium
Decision Impact
Team
Role Level
Team Lead

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • production_ready_ml_systems
  • scientific_outcomes
  • model_governance
Typical background
computer_sciencebioinformaticsdata_science

Transferable backgrounds

  • Coming from machine_learning_engineering
  • Coming from high_performance_computing
  • Coming from cloud_platforms

Skills & requirements

Required

Machine_learning_engineeringPythonHigh_performance_computingCloud_platforms

Preferred

Biological_researchAgentic_systems

Stack & domain

AIMLMachine LearningData SciencePythonPyTorchHugging Facescikit-learnMl PipelinesAgentic SystemsData ProtectionModel GovernanceResponsible AiTechnical DeliveryStakeholder CollaborationCommunicationProblem-solvingTeamworkBiological ResearchDrug DiscoveryHealthcare

About the role

Original posting from Novo Nordisk via Indeed

AI & ML Engineering Specialist

Category: Data & AI

Location: London, London, GB

Bio Data & AI Engineering

London, United Kingdom

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, building & optimising 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. 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 adjust

Source: Novo Nordisk careers (Indeed)

Similar roles