Senior MLOps Engineer / AI Platform Specialist

Reposted 2 Months 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

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.

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

Twoday Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Twoday and has not been reviewed or approved by Twoday.

  • Wellbeing & Lifestyle Benefits — Benefits are highlighted with lunch, culture/sport/wellness allowances, social activities, and wellbeing programs in at least Finland. These indicate a modern perks set that supports day-to-day quality of life where available.
  • Healthcare Strength — Healthcare coverage and mental-wellbeing services are included in a Finland role. This points to robust health-related support in that location.
  • Equity Value & Accessibility — A co-ownership program allows employees to invest in the company and share in value creation. While availability may vary by country, the option signals potential long-term value for participants.

Twoday Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Copenhagen
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.

Similar Jobs

Circle (circle.so) Logo Circle (circle.so)

Lead Engineer, AI Platform

Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
Remote
60 Locations
250 Employees

Pfizer Logo Pfizer

Director, HTA, Value & Evidence (HV&E) - Rare Disease

Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
In-Office or Remote
30 Locations
121990 Employees
177K-294K Annually

Circle (circle.so) Logo Circle (circle.so)

Growth Lead, Marketplace

Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
Remote
54 Locations
250 Employees
147K-160K Annually

Hewlett Packard Enterprise Logo Hewlett Packard Enterprise

Sales Director, Networking & Executive

Artificial Intelligence • Cloud • Information Technology • Consulting
In-Office or Remote
5 Locations
85422 Employees

Similar Companies Hiring

Revel Thumbnail
Aerospace • Hardware • Robotics • Software
Marina Del Rey, California
70 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
33 Employees
Vega Thumbnail
Artificial Intelligence • Automotive • Insurance • Transportation
US
65 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account