NextRaiseNextRaiseFind jobs
Sign inSign up free
Jobs
5 months ago
Apply with autofill
Apply with autofill
Twodaydenmark·5 months ago
5 months ago

Senior MLOps Engineer / AI Platform Specialist

København, DenmarkHybridSenior · 5-8 yearsMLOps Engineer

Sign up free to see how well your resume matches this role.

Boost your chances at twodaydenmark

How you compare FREE

?
Your scoreYour score: not yet known
→
32
Top 10%Top 10%: 32 out of 100

Top 10% of NextRaise users matched against MLOps Engineer roles in Denmark.

PDF or DOCX · no account needed

Apply faster with autofill FREEThe NextRaise extension autofills your application in one click.careers.example.com/applyAutofillingFull namePriya SharmaEmailpriya.sharma@example.comPhone+49 30 1234567LocationBerlGet the extension

About this role

Twoday is the leading digital transformation partner in Northern Europe with a global presence. With approximately 3,000 technologies, we collaborate with the most admired private and public organizations to deliver cutting-edge digital solutions. Our deep industry expertise spans Data & AI, software development, digital experiences, and business applications. Operating across the Nordics and Lithuania, our team generated a revenue of 280 million euros in 2023. We serve over 8,000 customers, supporting their digital transformation journeys.


Senior MLOps Engineer / AI Platform Specialist

About the role

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


Diversity & inclusion

Do you not meet all the requirements? Studies show that women and minorities are less likely to apply if they don’t meet every qualification. At twoday, we are committed to building an inclusive workplace where everyone is welcome.

If this role excites you, we encourage you to apply.

Company

Twodaydenmark
København, Denmark

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Twodaydenmark's careers site·first seen 22 Jun 2026·last verified 8 Sept 2026·How we source jobs

Similar jobs

  • Lead AI Platform Engineer at MaerskDKCPH55, Denmark–match not yet calculated
  • Lead AI Platform Engineer at MaerskCopenhagen, Denmark–match not yet calculated
  • Senior AI Platform Engineer at MaerskDKCPH55, Denmark–match not yet calculated
  • Senior AI Platform Engineer at MaerskCopenhagen, Denmark–match not yet calculated

Browse more jobs

  • MLOps Engineer jobs in United States
  • MLOps Engineer jobs in India
  • MLOps Engineer jobs in United Kingdom
  • Retail Sales Associate jobs in United States