Senior Machine Learning Engineer

What we're looking for

• Experience in production engineering
• Algorithmic versatility in ML areas
• Hands-on experience with CI/CD pipelines and containerisation
• Solid grounding in SQL databases and NoSQL stores
• Experience with streaming and batch data processing frameworks

About the Role

The organisation is building AI systems to help clients detect and respond to disinformation attacks in real time. Their platform combines machine learning, proprietary knowledge of attack and defence techniques, and large-scale, high-throughput data analysis.

You'll be building and operating production-grade machine learning systems that detect and counter disinformation as it happens. This is a high-ownership role spanning the full ML lifecycle - from model development to deployment and monitoring.

You'll collaborate with a cross-functional team from software engineering, machine learning, and intelligence backgrounds, shaping both the product and the underlying ML infrastructure.

This is not a research-only role. The focus is on real-world systems that are reliable, scalable, and fast.

Tech Stack

Python, SQL & NoSQL databases, streaming & batch data processing frameworks, Docker, CI/CD pipelines, cloud infrastructure.

What We Look For

Production ML experience - Experience building and deploying machine learning systems in production environments.

Strong engineering fundamentals - Comfortable writing clean, modular, maintainable code that others can build on.

End-to-end ownership - Able to manage the full lifecycle: data, models, deployment, monitoring, and iteration.

Algorithmic versatility - Broad exposure across ML approaches and the ability to apply the right method to the problem.

Data systems experience - Solid grounding in relational and non-relational databases, as well as large-scale data processing.

Systems thinking - You understand trade-offs - latency vs accuracy, cost vs performance - and design accordingly.

Infrastructure familiarity - Hands-on experience with containerisation, CI/CD, and production environments.

Compensation & Benefits

• Competitive salary + equity (share options reflective of early employee status)
• 25 days holiday + birthday off
• Private pension contributions
• Remote-first with flexible working and an outcomes-driven culture
• High ownership from day one

BenefitsShare options reflective of being one of the first employees25 days holiday + 1 extra day on your birthdayPrivate pension contributionsHybrid and flexible working with a focus on outcomes, not hoursEquity detailsType: Share optionsDetails: reflective of being one of the first employeesTeam

• cross-functional team of high achievers from software engineering, machine learning and intelligence backgrounds

Job Type: Full-time

Pay: From 55.686,66€ per year

Application Question(s):

• Cover letter
• Expected Salary

Work Location: In person