Location: London (Hybrid)

Our client, a leading global investment bank, is looking for an AI Engineer to help transform the way financial data is processed, analysed, and applied across the business. This role will play a pivotal part in building advanced AI solutions to support fraud detection, risk management, algorithmic trading, and customer insights.

Working closely with quantitative analysts, traders, and technology teams, you will develop scalable AI systems that bring real-time intelligence to some of the most data-rich environments in the industry. This is an exciting opportunity to shape next-generation solutions at the intersection of finance and AI.

Responsibilities:

• Design and implement AI solutions to support financial modelling and decision-making.

• Collaborate with traders and analysts to deploy AI tools for fraud detection and compliance.

• Build and optimise machine learning pipelines for high-volume financial datasets.

• Ensure security, scalability, and efficiency across all AI applications.

Requirements:

• Proven experience as an AI Engineer or Machine Learning Engineer.

• Strong programming skills in Python and familiarity with TensorFlow or PyTorch.

• Experience working with large-scale, real-time financial or transactional data.

• Knowledge of risk modelling, compliance, or financial markets is highly desirable.

Thank you for your interest in this opportunity. If your application is successful, we will contact you to discuss the position in more detail within 48 hours of receiving your CV. Please assume your application has been unsuccessful if you do not hear back from us within 48 hours.

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