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This listing was closed on Jul 18, 2026.
Browse Open JobsMachine Learning Engineer
Summary by AIEngineer.careers
Machine Learning Engineer is a Machine Learning Engineer role (full-time). with that builds data-driven trading strategies. in PRAHA, CZ. Imported listing (source: cz.jooble.org). Apply on the employer's site (cz.jooble.org).
Imported listing (source: cz.jooble.org) · Apply on cz.jooble.org
PRAHA · CZ
—
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from cz.jooble.org
Second Foundation is a technology and trading company that builds data-driven trading strategies. As a Machine Learning Engineer, you will develop Python tooling, improve data infrastructure, deploy ML models, and simplify MLOps for analytical and trading teams. You will ensure model reliability and performance in production while presenting insights through custom dashboards.
Responsibilities
- Build industry-leading tooling in Python to support analytical and trading teams.
- Set up data processing pipelines and improve data infrastructure.
- Enable new machine learning approaches and simplify ML operations.
- Deploy new models in production, monitor reliability, and continuously improve performance.
- Present complex data in an understandable way through custom dashboards.
- Deliver code quickly to production with direct stakeholder feedback.
Requirements
- Mathematical or technical background.
- Curious mind, passion for problem-solving, and collaborative spirit.
- Strong ability to discuss, communicate, and document technical decisions.
- Affinity for delivering clean, concise, and maintainable code.
- Ability to grasp new data and present it clearly and effectively.
that builds data-driven trading strategies
Praha · CZ · 279+ employees
Second Foundation is a technology company specializing in algorithmic energy trading and renewable energy management. It uses machine learning and mathematical models to optimize power market performance and support the energy transition.
