AI/ML Engineer – Financial Automation | Fintech

Summary: The AI/ML Engineer role focuses on leveraging artificial intelligence and machine learning to enhance financial automation within fintech. Candidates will design and deploy machine learning models, integrate AI solutions into production-grade products, and collaborate with cross-functional teams to improve financial workflows. The position is part of a strategic talent network aimed at future opportunities in the fintech sector.

Key Responsibilities:

• Design and deploy ML models to automate key financial workflows (e.g., credit scoring, fraud detection, transaction categorization, expense forecasting)
• Build and maintain pipelines for data ingestion, feature engineering, and model training at scale
• Integrate AI-driven solutions into production-grade fintech products (e.g., lending apps, digital wallets, robo-advisors)
• Work cross-functionally with product, data, and engineering teams to identify areas of automation and improvement
• Monitor and evaluate model performance, fairness, accuracy, and compliance

Key Skills:

• Strong experience (3+ years) in machine learning, deep learning, or data science in a fintech or regulated industry
• Solid understanding of financial datasets and workflows (e.g., transactions, KYC/AML, credit risk)
• Proficient in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
• Hands-on experience with deploying models via APIs, Docker, or cloud environments (AWS/GCP/Azure)
• Familiarity with concepts like model interpretability, bias mitigation, and regulatory considerations in AI

Salary (Rate): undetermined

City: undetermined

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT