Senior ML Engineer — Production AI & MLOps

Novo Nordisk; Måløv; On-site; DKK 651,000 - 957,000; Full time

Job summary

Novo Nordisk is seeking a Senior Machine Learning Engineer to turn models and AI prototypes into reliable, secure, production services in Research & Development. You will design, deploy and operate ML, generative AI and agent-based applications on Databricks, AWS and Azure, setting engineering practices that ensure performance and governance.

You will lead design discussions, mentor colleagues, and own end-to-end production systems with a focus on quality, safety and cost efficiency in a

Qualifications

• A degree in computer science, engineering, mathematics or a related field, or equivalent practical experience.
• Typically, 5+ years in machine learning engineering, software engineering or applied AI, including ownership of production ML systems, with examples of your contribution, architecture decisions, deployment approach, operational challenges and measured outcomes.
• Strong hands-on Databricks expertise, including Python, PySpark, Spark SQL, Delta Lake, MLflow, production pipelines, model serving, workflow orchestration and Unity Catalog governance.
• Strong practical knowledge of both AWS and Azure for deploying and operating ML or AI workloads, along with Git, CI/CD, containers and infrastructure as code, such as Terraform.
• Demonstrated implementation experience across MLOps, LLMOps, AgentOps and DataOps, from reproducible training, model registries and rollback to retrieval-augmented generation, safety testing, agent tracing, tool permissions, data contracts and lineage.
• Strong Python and SQL skills, solid machine learning fundamentals, experience with frameworks such as scikit-learn, PyTorch or TensorFlow, and practical experience building LLM applications with embeddings, retrieval, structured outputs and tool calling.
• Experience with observability, incident response and production support, an understanding of data privacy, security, responsible AI and model governance, and the communication skills to explain technical trade-offs and mentor colleagues.

Responsibilities

• Design, build, deploy and maintain ML models, LLM applications and AI agents, including batch and real-time inference services integrated into business applications.
• Build training, evaluation, deployment and monitoring workflows with Databricks and MLflow, and operate AI infrastructure on AWS and Azure that balances performance, reliability, security and cost.
• Establish MLOps, LLMOps, AgentOps and DataOps practices – covering versioning, automated testing, rollback, safety controls, human oversight and reliable, well-governed data.
• Monitor model quality, data drift, latency, availability and cost, investigate failures and define evaluation criteria that measure technical quality alongside business outcomes.
• Lead technical design discussions, review code, mentor engineers and document operational procedures to raise engineering standards across the team.

Skills

Databricks

Python

PySpark

Spark SQL

MLflow

Unity Catalog governance

AWS

Azure

Git

CI/CD

Terraform

MLOps

LLMOps

AgentOps

DataOps

Embeddings

Retrieval

Tool calling

Python and SQL

Model governance

Education

Degree in computer science, engineering, mathematics or related field

Tools

Git

CI/CD pipelines

Containers

Terraform

Docker

Job description

Novo Nordisk is seeking a Senior Machine Learning Engineer to turn models and AI prototypes into reliable, secure, production services in Research & Development. You will design, deploy and operate ML, generative AI and agent-based applications on Databricks, AWS and Azure, setting engineering practices that ensure performance and governance.

You will lead design discussions, mentor colleagues, and own end-to-end production systems with a focus on quality, safety and cost efficiency in a