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Permanent position at Twoday | Copenhagen
Senior MLOps Engineer / AI Platform Specialist
We are looking for a Senior MLOps Engineer / AI Platform Specialist to help design, build, and operate production-grade machine learning platforms.
This is a hands-on role onsite in Copenhagen where you will work at the intersection of data, infrastructure, and software engineering – ensuring that machine learning solutions are scalable, reliable, and ready for real-world use.
You will work closely with data scientists, developers, and stakeholders to bring AI solutions from experimentation into stable and secure production environments.
You will be responsible for:
MLOps & platform engineering
Design and implement end-to-end MLOps pipelines
Enable reliable deployment, versioning, and lifecycle management of ML models
Establish best practices for model governance, reproducibility, and traceability
Cloud & infrastructure
Build and maintain ML platforms in cloud environments (Azure, GCP or similar)
Design hybrid architectures combining cloud and on-premise solutions where needed
Implement Infrastructure as Code and automated provisioning
CI/CD & automation
Build and maintain CI/CD pipelines for ML and data workflows
Automate model training, testing, and deployment processes
Ensure robust and scalable delivery pipelines
Monitoring & reliability
Implement monitoring for models and data pipelines (performance, drift, availability)
Ensure stable and secure operation of ML solutions in production
Drive continuous improvements based on performance and usage
We are looking for someone who
Has experience with MLOps and running ML models in production
Has worked with cloud platforms such as Azure Machine Learning, GCP (Vertex AI), or similar
Has strong programming skills (e.g. Python)
Has experience with containerisation and orchestration (Docker, Kubernetes)
Has experience with CI/CD pipelines and infrastructure automation
Fluent spoken and written Danish is a requirement
It is a plus if you:
Have worked with modern ML frameworks (e.g. PyTorch, MLflow or similar)
Have experience with LLMs or advanced AI architectures
Have worked in regulated or compliance-driven environments
Are able to communicate complex technical topics clearly to both technical and non-technical stakeholders
About you
You take ownership and are comfortable working in complex environments
You are pragmatic and focus on delivering real-world value
You enjoy working across disciplines and bridging gaps between teams
You are motivated by building solutions that work in production
What we offer
Twoday offers a flexible and collaborative working environment with strong professional communities across the Nordics.
We offer:
The opportunity to work with AI solutions in production – not just proof of concepts
A central role in shaping modern AI and data platforms
Opportunities for learning, certification, and professional development
A strong technical environment with knowledge sharing and collaboration
A comprehensive employee package including pension, health insurance, and additional benefits
The employment
You will be permanently employed by Twoday and work as a consultant with a public sector client. Twoday will be your employer, offering a strong professional community, skills development, and clear career paths — while you contribute to an important and meaningful project with the client.
The process
Introductory call with a Talent Acquisition Partner
Online interview with the Hiring Manager
Technical interview
On-site interview in Nordhavn
Working at Twoday
Twoday is a leading technology consulting company specializing in applied AI and advanced engineering. With around 2,300 experts in AI, data, digital engineering, and cloud engineering, we cut through complexity, remove uncertainty, and prove the value of technology.
Our purpose is to create a better tomorrow through AI and technology. We strengthen private and public organizations across energy and utilities, financial services and insurance, industrials and manufacturing, health and life sciences, and government.
However, our greatest strength isn't the technology we work with. It's the people behind it. Every day, they bring together expertise, curiosity, and determination to help our customers solve complex challenges and create lasting value.
Diversity and inclusion
We are committed to building an inclusive and diverse workplace where everyone is treated with respect and has equal opportunities. Our recruitment decisions are based on competencies, experience, and individual merit.
Don’t meet all the requirements? Many candidates hesitate to apply unless they meet every qualification. We are looking for people who are engaged, meet most of the criteria, and are motivated to grow in the role. If this role interests you and you believe you could be a good fit, we encourage you to apply.