Computer Vision Engineer Trainee

We are now looking for a Computer Vision Engineer Trainee in the Decision Support and Advanced Analytics team for a fixed-term contract until 28.6.2027. The position is based in Helsinki, Finland.

Greetings from your future manager

“This is an opportunity to work at the interface between real-life business problems and analytical solutions. Solving business problems is just one piece of the puzzle, but making our solutions robust, reusable, and maintainable is what gives them long-term value. We need your help to do the latter together with our business experts and data scientists.” - Jani Strandberg, head of Decision Support and Advanced Analytics

What you will do

You will work on strengthening our computer vision capabilities within a manufacturing process. We have developed a proof of concept for computer vision tasks that improve the stability and quality of our manufacturing process, and now we need to develop the systems to be more reliable, accurate, and scalable.

Your work may include tasks such as:

• Improving our cloud model training pipeline, including image pre-processing and annotation, exposing trained models in a model registry
• Software system/project design: contributing to an object-oriented system design and produce documentation and diagrams with limited use of AI; your work may also involve understanding or designing cloud infrastructure
• Working with AI to produce high-quality full-stack tested code in Python and TypeScript
• Working with hardware such as cameras, lighting, networking, programmable logic controllers, and generating training data in the field
• Improving our DevOps workflows, such as CICD pipelines, developer documentation, utilising a container-first design
• Producing communication material such as presentations and raising awareness about the project with internal stakeholders

The role will primarily focus on designing and developing computer vision systems. However, depending on your interests, there are also opportunities to focus more on hardware, data pipeline engineering, DevOps, MLOps, or project coordination and communication acitivites.

Who you are

• You are a master’s-level student (or equivalent) with a relevant background in Software Engineering, Computer Science, Machine Learning, or another relevant engineering field
• You are motivated to push beyond the status quo and take initiative to innovate

The following skills are important for you to excel in this role, but you do not need to have experience in all areas listed below. We expect candidates to bring different strengths, and we will tailor your tasks accordingly:

• A collaborative mindset and experience working on a software team
• At least 1 year of experience with python and TypeScript, experience with PyTorch and object-oriented programming paradigm is considered and asset
• Proven experience training and developing computer vision models and working with image processing, camera APIs, and cameras and other relevant hardware and networking
• Fluency with software development in Linux with modern tools like VS Code and Git
• Fluency in English and good communication skills

We consider the following as advantages:

• Familiarity with the Python ecosystem and tooling, such as type annotations, PEPs, pdm or uv, offline packaging with wheels and related tools
• Experience working with Agile- or Scrum-inspired workflows, such as collaborative task tracking (e.g., GitHub Issues, Azure DevOps)
• Experience with a public cloud (Azure, AWS, GCP), CI/CD pipelines (e.g. Azure, GitHub, GitLab), infrastructure as code, or MLOps

This is what we offer to you

• A meaningful job: We have an inspiring purpose "We renew the everyday for a future beyond fossils”. Our work is impactful and transformative.
• A caring community: Our community is built on great team spirit and shared commitment. We care about each other and the well-being of our colleagues. We support the work-life balance of all our employees.
• Development opportunities: We offer you great opportunities to learn and grow throughout your career. We are an international, multi-business organization offering plenty of avenues for personal growth.
• Responsible employer: Sustainability is at the core of everything we do. We are committed to ambitious, science-based sustainability targets in all areas, from climate change mitigation to enhancing biodiversity. We foster diversity and inclusivity, offering a work environment in which everyone can be themselves.

Learn about our Rewarding and our Ways of working.

Additional information about the position

This position offers a hybrid working model, combining remote work from home with regular on-site collaboration.

The position holder will report to Manager, Fibres Decision Support & Advanced Analytics.

For further information about the role, please contact Jani Strandberg, Manager, Fibres Decision Support & Advanced Analytics at [email protected].

How to apply

To apply, please submit your CV and cover letter by September 27, 2026. Please note that we accept only applications submitted through our online application system. We begin reviewing applications as they are received, and you may be contacted before the application deadline.

For support with submitting your application, please contact the HR Services through the UPM Service Portal [LINK] or tel. +358204146600.

Country-specific information

A security background check may be performed for those selected to UPM positions, in accordance with the company recruitment guidelines and the Security Clearance Act 726/2014.

UPM

UPM is a material solutions company, renewing products and entire value chains with an extensive portfolio of renewable fibres, advanced materials, decarbonization solutions, and communication papers. Our performance in sustainability has been recognized by third parties, including EcoVadis and the Dow Jones Sustainability Indices. We operate globally and employ approximately 15,100 people worldwide, with annual sales of approximately €9.7 billion. Our shares are listed on Nasdaq Helsinki Ltd.

UPM – we renew the everyday
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