Machine Learning Engineer

You'll join a fast-scaling fintech organisation undergoing a major AI-led transformation focused on building next-generation fraud detection, credit risk, real-time decisioning, and forecasting platforms.

The programme is replacing legacy, rule-based systems with machine learning-driven intelligence to improve transaction monitoring, customer risk profiling, demand and liquidity forecasting, and payment decisioning across millions of daily events., We're seeking a Senior Machine Learning Engineer to lead the design, development, and production of real-time ML and forecasting solutions. You'll work closely with data engineers, platform teams, product owners, and compliance stakeholders to build scalable ML systems embedded directly into live fintech workflows.

• 5+ years' experience in Machine Learning Engineering, AI Engineering or Applied Data Science (fintech, banking, payments, or financial services strongly preferred).
• Design, build and productionise fraud detection, anomaly detection, transaction monitoring, credit risk and forecasting models.
• Develop time-series forecasting models for demand, liquidity, transaction volume and customer behaviour prediction.
• Develop real-time and batch ML pipelines using Python, PySpark and modern data stacks.
• Build and optimise models using high-volume, low-latency data (transactions, behavioural signals, device data).
• Implement MLOps best practices including CI/CD, model versioning, monitoring and retraining pipelines.
• Work with streaming technologies such as Kafka.
• Proficient in Python, SQL, PySpark, CI/CD, and Cloud (GCP/AWS/Azure).
• Excellent communication skills with both technical and business stakeholders.

Senior Machine Learning Engineer (FinTech) | Remote (UK) | £600-£750 per day | 6-12 months