Job Title: Machine Learning Engineer – Finance Location: London (2 days on-site)
Our client is a fast-growing FinTech startup redefining how mid-sized enterprises manage liquidity, credit, and cross-border finance. We’re now looking for a Machine Learning Engineer who’s ready to take ownership of production-level models that directly impact risk, underwriting, and transaction workflows.
Design, build, and deploy ML models for real-time credit risk scoring, fraud detection, and dynamic pricing
Architect and implement end-to-end ML pipelines (from data ingestion and feature engineering to monitoring and retraining)
Collaborate with product, engineering, and data teams to identify use cases, develop models, and integrate into our core platform
Own model evaluation, explainability, and monitoring frameworks in production
Stay up to date with developments in the ML/AI ecosystem and bring fresh ideas to the table
Strong Python skills and experience in ML libraries like scikit-learn, PyTorch, TensorFlow , or XGBoost
Hands-on experience building and deploying ML models into production environments
Familiarity with ML Ops workflows (e.g., Experience working with structured data (credit, payments, customer behaviour) and applying feature engineering at scale
Understanding of model performance metrics, calibration, A/B testing, and monitoring in production systems
Experience with cloud platforms (GCP, AWS or Azure), especially managed ML services like SageMaker or Vertex AI
Proficiency in SQL and working knowledge of distributed computing tools like Spark or Dask
Experience with natural language processing (NLP) e.g., Familiarity with Graph ML (e.g., for customer network analysis or fraud detection)
Exposure to finance, credit risk modelling , or regulated environments
Strong software engineering fundamentals, version control, CI/CD, testing
A chance to work on real-world ML problems that power decisions across millions in daily transactions
~ Competitive salary and meaningful equity
~25 days holiday + bank holidays
~ Private healthcare & life insurance
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Contact Detail:
In Technology Group Recruiting Team