Senior MLOps Engineer / AI Platform Specialist

Posted 10 Days Ago
Be an Early Applicant
Hiring Remotely in København, Hovedstaden, DNK
Remote
Senior level
Artificial Intelligence • Information Technology • Software • Consulting
The Role
Design, build, and operate production-grade ML platforms and end-to-end MLOps pipelines. Implement cloud and hybrid ML infrastructure, IaC, CI/CD for model lifecycle, containerisation, monitoring, and governance. Collaborate with data scientists and stakeholders to deploy, monitor, and maintain scalable, secure ML solutions in production.
Summary Generated by Built In

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.

Skills Required

  • Experience with MLOps and running ML models in production
  • Experience with cloud ML platforms (Azure Machine Learning, GCP Vertex AI or similar)
  • Strong programming skills in Python
  • Experience with containerisation and orchestration (Docker, Kubernetes)
  • Experience with CI/CD pipelines and infrastructure automation
  • Fluent spoken and written Danish
  • Ability to work onsite in Copenhagen
  • Experience with modern ML frameworks (e.g., PyTorch)
  • Experience with MLflow or similar model management tools
  • Experience with LLMs or advanced AI architectures
  • Experience in regulated or compliance-driven environments
  • Ability to communicate complex technical topics to varied stakeholders
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The Company
3,000 Employees
Year Founded: 2022

What We Do

Twoday is a Nordic technology company that provides end-to-end IT services, including software engineering, data and AI solutions, and business applications. They partner with organizations in both the public and private sectors to drive digital transformation and improve operational efficiency through the strategic application of advanced technology and data-driven insights.

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