Machine Learning Engineer

- Remote - UK, Germany, Ireland, Spain, Poland, Bulgaria or Lithuania

- From Home / Beach / Mountain / Cafe / Anywhere!

- We are a remote-first company with a globally distributed team. You can find your productive zone and work from there.

About The Role

As a Machine Learning Engineer, you’ll do more than build models - you’ll design the systems that make fraud detection possible. You’ll work across modeling, data pipelines, and backend systems (Go) to ensure ML models run reliably, efficiently, and at scale.

This is a chance to combine applied ML with large-scale systems engineering, owning end-to-end solutions that tackle high-stakes, ever-evolving challenges.

What you’ll be doing:

- Build and optimize data pipelines and backend services to process device and behavioral data in real time.

- Develop and deploy ML models for fraud detection, ensuring they run reliably and efficiently in production.

- Turn raw data into production-ready features that feed our fraud detection systems.

- Collaborate with platform and backend engineers to integrate models seamlessly.

- Maintain high standards of security, privacy, and compliance.

- Champion best practices in testing, documentation, and observability.

What you’ll need:

- Hands-on experience with applied ML using large datasets (PyTorch, Scikit-learn, etc.).

- Strong SQL skills and familiarity with relational and non-relational databases.

- Experience with end-to-end ML systems: feature pipelines, model deployment, monitoring, and iteration.

- Excellent communication skills in English, both written and verbal.

- Bachelor's or Master's in Computer Science, Engineering, or a related discipline.

Bonus Points

- Domain knowledge in fraud, risk, or cybersecurity.

- Background in Software Engineering

- Familiarity with CI/CD, Docker, Kubernetes and the modern devops framework.

- Understanding of modern browser APIs and high-entropy data collection techniques.

- Familiarity with leveraging frontier LLMs for automation.