Top AI & Machine Learning Jobs in London

Lead process assessments and identify automation opportunities, document current and future state processes, collaborate with clients and developers, and troubleshoot automation issues.

The Senior Data Scientist will lead the delivery of data science solutions, mentor teams, and develop ML models to address business challenges.

The AI Business Analyst will identify and implement AI-driven solutions, enabling capital markets organizations to optimize workflows and improve efficiency. This role includes stakeholder engagement, requirements management, and supporting AI adoption within regulated environments.

Lead complex AI transformation programmes in financial services, overseeing governance, risk management, stakeholder engagement, and programme execution while ensuring alignment with regulatory considerations.

The role involves consulting for financial services to implement AI solutions, focusing on business transformation, project delivery, and stakeholder engagement in using AI tools effectively.

The AI Business Analyst will facilitate AI integration in wealth and asset management, engage stakeholders, support agile delivery, and drive responsible AI adoption.

Lead AI transformation for wealth and asset management clients: define AI adoption strategy, identify use cases, oversee multidisciplinary delivery, ensure governance, risk and compliance, and drive commercialisation and capability building across programs using GPT, Copilot and enterprise AI tools.

Lead AI transformation programmes across Wealth & Asset Management clients, overseeing governance, roadmaps, delivery, risk, compliance, benefits realisation and stakeholder engagement. Embed responsible AI and AI-enabled solutions into operations, mentor teams, support commercial growth, and ensure scaled adoption of AI technologies.

Partner with financial services clients to identify, design, and deliver AI-enabled use cases (GPT, Copilot, generative AI) across operations, product, and compliance. Lead workshops, stakeholder engagement, implementation coordination, testing and change adoption to scale responsible AI capabilities within regulated environments.

Lead AI-driven data and analytics programmes in financial services, mentoring teams and ensuring delivery of measurable outcomes.