We are a 120-person fintech company based in Stockholm. Our product is a credit risk platform used by 18 lending institutions across the Nordic region. We have a functioning ML team of four. Our models work. The process around them does not. Training runs are slow, reproducibility is inconsistent, and our model evaluation framework was designed for three models and now covers eleven. We are hiring a senior ML engineer to fix this — not to rebuild everything from scratch, but to identify the specific gaps and close them systematically. You will work in Python and PyTorch. You will have access to the full training history. You will be expected to form an opinion in your first two weeks and share it clearly. The role is technical. You will write code every day. You will also write documentation that junior engineers can follow without asking you six follow-up questions. We offer competitive compensation, equity in a Series B company, and a culture that values precision over performance.
Responsibilities
Audit current model training, evaluation, and deployment workflows and produce a written gap analysis
Design and implement a reproducible training framework across all production models
Own and continuously improve our model evaluation and monitoring standards
Mentor two mid-level engineers through code review and weekly technical discussions
Lead technical design discussions and produce clear written proposals before implementation begins
Requirements
6+ years in machine learning engineering with at least two years owning production models
Deep Python — clean, testable code you'd be comfortable defending in a code review
PyTorch for model design, training loop optimisation, and debugging
TensorFlow exposure for working with older parts of the codebase
Solid understanding of model evaluation: calibration, fairness metrics, temporal validation
Experience making ML training reproducible at team scale
Bonus: financial services or credit risk domain knowledge
Benefits
Equity participation in a Series B company with strong Nordic institutional backing
Full remote within CET ±2 hours
€100,000 – €130,000 base salary depending on experience