Machine Learning Engineer

Job Overview

Veo is a global leader in AI-based sports camera technology. Our innovative, fully automatic camera solution enables sports teams to record matches and training sessions without a camera operator. We’re democratizing the world of sports by granting video analysis for teams on all levels—a privilege that used to be only for the few. More than 50,000 clubs in 90+ countries record their games every week.

As a Machine Learning Engineer at Veo you will get to work on challenging problems and directly contribute to the value created by our AI-driven end-user products.

Key Responsibilities

• Train state-of-the-art machine learning models
• Write efficient inference pipelines for cloud and edge
• Define and supervise data annotation tasks
• Improve evaluation schemes to increase understanding of model performance and shortcomings
• Contribute to long-term planning and prioritization of tasks

Required Qualifications

• MSc or PhD in a relevant field
• Hands-on experience with real-world, large-scale machine-learning projects
• Great coding skills
• Skilled at both autonomous tasks and contributing to group efforts
• Ability to examine details closely and critically

About Veo

Our Copenhagen office mirrors our innovative technology – with an indoor ball court, rooftop terrace, and well-equipped gym. We have created a facility that supports connecting disciplines across the business, facilitates creative thinking, and gives the space to engage with colleagues, our global partners, and the entire Veo community.

Values we hold at Veo:

Dare - We take initiative, stay curious, and challenge the status quo in our work.

Own it - We drive impact by identifying opportunities, taking responsibility, and confidently executing.

Level up - We embrace growth, continuously learning and shaping our skills.

Play as a team - We collaborate across a diverse organization, leveraging shared insights for stronger outcomes.

Customer Centric - We deliver value by having close partnerships and a deep understanding of our customers (internally and externally)

We value diversity and inclusion and welcome applicants from all backgrounds, even if your experience doesn’t completely match every qualification listed. What matters most is your creativity, potential, and ability to make meaningful contributions.