Hybrid Machine Learning Engineer – Financial Services

Posted last month

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About the role

  • Design, build, and experiment across diverse areas of financial services;
  • Collaborate closely with UI/UX designers, frontend and backend developers;
  • Shape and refine our pipelines, maintaining scalability, reliability, and performance;

Requirements

  • Master’s degree in Data Science, Machine Learning, Computer Science, Physics, Math, Engineering or similar;
  • Proficiency in Python and SQL;
  • Familiarity with libraries such as Polars, XGBoost and PyTorch;
  • Knowledge of version control systems (e.g., Git);
  • B2+ English proficiency;
  • Experience with databases and warehouses (Postgres, Snowflake);
  • Experience with interaction with LLMs (GPT, Claude, Gemini) via API calls;
  • Experience with cloud providers (AWS or Azure);

Benefits

  • Laptop, monitor, camera and noise-cancelling headphones;
  • Paid lunch and coffee breaks when in office;
  • Up to 20 days per year of work-from-anywhere.

Job title

Machine Learning Engineer – Financial Services

Job type

Experience level

JuniorMid level

Salary

€38,000 per year

Degree requirement

Postgraduate Degree

Location requirements

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