Senior AI/ML Engineer

We are looking for an experienced Senior AI/ML Engineer to join our AI team!

Most companies can build models. Far fewer can run them in production, retrain, update and provide inference on a schedule or in real time, setup operations critical monitoring, and show a regulator how it makes decisions. That gap is where you come in. You will build and operate the machine learning and generative AI systems that take a promising notebook to something our customers depend on every day, and you will do it alongside data engineers, data scientists, cloud architects, and software developers on some of the largest Data & AI teams in the Nordics.

This is a hands-on role. You will spend most of your time in code and in customers' cloud or on-premises environments, with experienced colleagues around you and room to take technical ownership of the parts you know best.

What are we looking for?

You are an engineer first. You are comfortable owning a codebase, you write tests, and you would rather automate a deployment than document it. You have taken machine learning into production and lived with the consequences afterwards.

We expect you to bring:

• Hands-on AI & ML engineering experience, including at least one or two models or AI services you have taken to production and helped operate.
• Strong Python and solid software engineering fundamentals: version control, testing, code review, packaging, CI/CD.
• Working MLOps knowledge: training and inference pipelines, experiment tracking, model registries, deployment patterns (batch and real-time), and monitoring for drift, data quality, and model degradation.
• Experience on Azure: Azure Machine Learning, Databricks, or Microsoft Fabric (Experience from AWS or GCP transfers, and we will not hold it against you.)
• Familiarity with infrastructure as code (Terraform or Bicep) and containers. Kubernetes is a plus.
• Experience productionising generative AI including RAG architectures, orchestration frameworks, prompt and model evaluation, guardrails, and agent development.
• An awareness of what governance means in practice: lineage, reproducibility, access control, GDPR, and the documentation the EU AI Act increasingly requires. You do not need to have all the answers, but you should know the questions matter.
• The ability to work directly with a customer's technical team and explain what you built and why, without flattening the trade-offs into a slogan.
• Fluent spoken and written Danish is a requirement.

• Build and productionise ML and GenAI solutions for our customers: data and training pipelines, model serving, and the automation around both.
• Set up and maintain the monitoring, alerting, and retraining that keep the systems you deliver working after go-live.
• Work closely with customers' engineers and data teams through delivery and handover.
• Share what you know: code reviews, internal sessions, and pairing with less experienced colleagues.
• Grow towards a lead role over time if that is the direction you want. We will support it.

• 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

Twoday is located in modern offices in 30 locations in Norway, Sweden, Denmark, Finland, and Lithuania. We have a strong and unique social environment with highly engaged employees. If you are the candidate we are looking for, you will have a central role with exciting opportunities to develop in an international and innovative group, with exciting products and services within technology and software. You will also have the flexibility to "jump" and work from one of our headquarters in Oslo, Stockholm, Copenhagen, Helsinki, or Vilnius at times.

Diversity & Inclusion

Are you not meeting all the requirements listed? Studies have shown that women and other minority groups are less likely to apply for a job if they don't meet every qualification. We're dedicated to build a workplace of diversity and inclusion. If you are excited about this role but your previous experience does not match the job description, we encourage you to apply anyway.