(Senior) Machine Learning Engineer, Lystrup or Søborg

Terma Group

Denmark

On-site

DKK 800,000 - 1,200,000

Full time

4 days ago
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Benefits offered by this job

International environment
Flexible working hours
10% pension contribution
Well-being massage on-site
Social and professional events
Competence networking across Terma

Job summary

Terma seeks (Senior) Machine Learning Engineers to join the Accelerator team in Denmark. You will collaborate with data scientists to turn promising models into production-ready systems and own ML infra for major projects.

Expect hands-on work, end-to-end ML pipelines, and strong security considerations in a dynamic, international setting. You will design and maintain CI/CD pipelines, monitor model performance and drift, and work with the infra team to ensure robust deployment and scalability

Qualifications

  • Degree in engineering, comp sci or related field (or equivalent experience).
  • Strong Python and production-grade coding experience.
  • Experience building ML CI/CD pipelines and deployment automation.
  • Experience with model serving and monitoring in production.
  • Familiarity with on-prem infrastructure and systems administration.

Responsibilities

  • Turn ML models into production-ready systems with data scientists.
  • Own ML infrastructure and operations across key projects.
  • Build and maintain CI/CD pipelines for ML training, testing and deployment.
  • Maintain model registries and monitor model performance and drift.
  • Collaborate with infrastructure on compute, networking and platform foundations.
  • Investigate and evaluate new tools and technologies for the team.

Skills

Python
Production code
CI/CD pipelines for ML
Docker
Kubernetes
ML infrastructure & operations
Model monitoring & drift
Model versioning
On-prem infrastructure
Collaboration with data scientists

Education

Engineering or Computer Science degree

Tools

Docker
Kubernetes

Job description

AI is reshaping security and conflict at breakneck speed. Terma is developing AI at the edge of innovation across all domains to protect our society and enhance our resilience and fighting power. The world is growing more uncertain, the need for security is more present, and rarely has our purpose been clearer. Join us and help us turn AI into security for Denmark and our allies.

We are looking for (Senior) Machine Learning Engineers to join the Accelerator team. The Accelerator brings together AI specialists, software developers, drone and robotics experts, and business developers to turn emerging technologies into solutions for real operational needs. We work closely with Danish Defense and allied forces, involving end users from the very beginning and taking ideas quickly from concept to testing in the field.

Your role in our team

As our new (Senior) Machine Learning Engineer in the Accelerator team, you will work alongside our data scientists during model development, helping turn promising models into production-ready systems. As part of our team, you will play a crucial role in optimizing, scaling and integrating models so they operate reliably in demanding, real-world conditions.

You will design and maintain CI/CD pipelines for our ML activities, including model registries and monitoring and alerting for model performance and drift. You will not own the underlying on-prem infrastructure alone; you will work together with our infrastructure team on the compute, networking and platform foundations, to ensure smooth integration with the rest of the team's tool stack. Furthermore, you will take ownership of ML infrastructure and operations for specific, impactful projects.

We are a dynamic, fast-moving team dedicated to accelerating cutting-edge technology development. Our team brings together AI specialists, software developers, drone and robotics experts, and senior business developers turn emerging technologies into solutions for real operational needs. We are a diverse team in terms of nationalities, educational backgrounds and age, and our working language is English.

This is a team for people who like to make things happen. We value curiosity, initiative and strong bias for action. You will not just be behind a desk, you will be hands-on, whether it is climbing radar towers with a sensor in your backpack, spending days aboard a frigate gathering data, or launching newly designed drones in live military testing environments. We move quickly, learn by doing, and do whatever it takes to build technology that works in the real world.

How you will make a meaningful contribution

You will work in a dynamic, scalable environment, balancing speed and innovation with the highest security standards. Handling classified information and systems that matter, you will have a strong voice in maintaining military-grade security while driving development forward. Your key responsibilities include:

  • Turn AI models developed by our data scientists into production-ready systems
  • Take ownership of ML infrastructure and operations across key projects
  • Build and maintain CI/CD pipelines for training, testing and deployment of ML models
  • Maintain model registries and monitor model performance, drift and alerting in production
  • Collaborate closely with our infrastructure team on compute, networking and platform foundations
  • Investigate and validate new tools and technologies, and introduce them to the team

Bring your world class expertise into play

For this role we expect you to hold a relevant degree in engineering, computer science or a related field, or equivalent work experience. That said, we are more impressed by your crazy, interesting and impressive hobby projects than perfect grades. Whether you are a recent graduate or bring a few years of experience, your skillset might include:

  • Strong software engineering fundamentals in Python (and/or Java), with production code experience
  • Experience building CI/CD pipelines for ML, including model training, testing and deployment automation
  • Experience with model serving and deployment, using tools such as Docker, Kubernetes and live brokers
  • Experience with model monitoring, including performance tracking and data or concept drift detection
  • Familiarity with model versioning, registries and reproducible training pipelines
  • Comfort with on-prem infrastructure and systems administration at scale
  • Experience optimizing models for production, including latency, memory and throughput
  • Enough ML/DL literacy to collaborate effectively with data scientists

As a person, you enjoy working in an environment where things move quickly and priorities can change. No two days are the same, and you are comfortable adapting when new challenges arise. You take responsibility for your work, but you are also not afraid to ask questions or involve others when needed. As the team grows and new projects emerge, there will be opportunities to take on responsibilities you have not had before, and that is something you find motivating. You work well with different people, share your knowledge, and contribute to a team where we help each other succeed.

We are an international company representing world-class expertise, delivering complex and high-tech products. We value our colleagues and our meaningful contributions to securing people through advanced technology. You will also experience that we have a strong focus on your development, teaching you useful new competences and further strengthening current ones, both professionally and personally. Our company culture is autonomous and engaging, and we acknowledge the importance of flexibility in a great working environment.

When joining Terma, we promise that you will experience: Great people, challenging tasks, world-class expertise, and meaningful contribution in your daily work.

__________________________________________________________________________________

Benefits at Terma

At Terma, we prioritize the well-being of our employees, ensuring they are well taken care of. Joining our team comes with a multitude of perks designed to enhance your social life, cultural experiences, and health.

International Environment: Explore great teamwork and professional sparring with colleagues around the world.

Flexible Working Hours: Enjoy the opportunity to work flexibly. Internet connection at home is paid for by Terma.

Comprehensive Benefits Package: Receive a 10% paid pension along with a beneficial health care and insurance package. Enjoy discounts from various business partners.

Well-being Perks: Opportunity to enroll in our on-site massage-offer at our locations in Denmark.

Social and Professional Events: We have an active staff association that arranges a variety of social activities and events to bring all of our colleagues together.

Competence networking across professional experts in Terma: Professional presentations and knowledge sharing across the organization.

__________________________________________________________________________________

We are dedicated to fostering a diverse, equitable, inclusive, and welcoming workplace. Our commitment to DEIB (Diversity, Equity, Inclusion, and Belonging) means we actively value and celebrate unique backgrounds, perspectives, and experiences. We strive to create an environment where all employees have equal opportunities to succeed, feel respected and valued, and experience a true sense of belonging.

To support an unbiased evaluation process, we kindly encourage applicants to omit personal details such as photos and age from their applications.

__________________________________________________________________________________

Do you have any questions regarding the position?

Feel free to contact Hiring Managers on e-mail: KARA@terma.com or REJO@terma.com

Bear in mind, that we need you to confirm that you can obtain a security clearance by the Danish Defense Intelligence Service, and that all adults in your household are not posing any risk to the related risk-evaluation. This entails among other issues:

  • That you have as a minimum stayed within NATO/EU/MISWG countries for the last 7 years only interrupted by short stays abroad, and
  • That you have not committed serious criminal offences
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