ML Ops Engineer
Spaak Technologies · Copenhagen, DK
Job description
About Spaak
At Spaak, we partner with leading public affairs teams to keep them at the cutting edge of AI.
We started Spaak with the belief that AI would redefine how policy is developed and influenced. Our AI-native platform for public affairs professionals improves workflows across political monitoring, document drafting, deep research, and more.
We build, test, and iterate directly alongside practitioners to turn AI development into leverage for public affairs professionals. The goal is simple: better decisions, sooner, with less noise.
We help leading public affairs teams stay ahead in the AI era.
Something you want to be part of?
Joining Spaak means being surrounded every day by experienced political consultants, exceptional software engineers, and startup operators. We truly believe we’re helping public affairs professionals enter a new era, and we’re deeply invested in making that change happen.
The Spaak team operates out of Copenhagen and Brussels, with more cities to come.
What you’ll do:
- Own the end-to-end ML production infrastructure, models, reproducible pipelines, and reliable deployment workflows
- Create training + evaluation pipelines (training data, experiment tracking, automated evals)
- Contribute to developing our data pipelines
- Take end-to-end ownership of our ML projects, performance and implementation in product features
- Take charge of PoCs and solve complex, high-level technical challenges
Who you are:
- A targeted and ambitious ML Ops engineer with a few years of experience
- You have strong ML Ops fundamentals
- You’re ambitious and feel best at home in fast-paced & intense environments
- You’re self-driven and take ownership of the systems you engineer
- You’re humble, collaborative, and focused on what’s best for the customers
What you’ll get:
- Truly meaningful and exciting work: You’ll help our incredibly skilled customers move into a future AI-driven era
- Incredibly skilled colleagues: We are gathering a team of A-players to be your colleagues
- Front-row seat at a fast-growing company: You'll learn from being part of an exciting, but hard, journey of scaling a company in a complex space.
- Competitive compensation: Competitive salary, benefits, and opportunities to grow.
ML/AI Work links you to the employer's original posting — always verify the details there before applying.
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