Top AI & Machine Learning Jobs

As an AI Engineer, you will design and develop AI-first solutions that enhance digital platforms, enabling intelligent decision-making and collaboration with cross-functional teams.

Lead and coordinate an LLM-based AI transformation program for a corporate & investment bank: manage multi-year migration to a Group AI platform, track risks and progress, perform capability gap analysis, produce management reporting, and maintain senior stakeholder relationships to ensure delivery.

Support Product Owner to design and deliver an in-house LLM-based productivity tool for 200,000+ users. Shape roadmap, gather user insights, define features, translate requirements for engineering, prioritise backlog, and collaborate with Customer Success and regional teams to drive adoption and product outcomes.

Lead AI product strategy and delivery for Credit Risk: drive discovery, prioritize use cases, own end-to-end product lifecycle, act as Product Owner in agile teams, collaborate with data science and engineering, ensure AI governance/model risk compliance, and engage stakeholders across credit, lending, and compliance.

As a Senior AI Engineer, you'll design and build generative AI applications, deploy AI/ML solutions in cloud environments, and mentor team members while ensuring successful project implementation.

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 Data Scientist leads analytics initiatives for credit card portfolios, utilizing statistical models and machine learning to drive business growth and optimize risk management.

The AI Architect will design scalable AI architectures, develop monitoring mechanisms, ensure compliance, create RAG pipelines, and collaborate with stakeholders.

The Machine Learning Engineer will design, develop, and optimize machine learning models, ensure their lifecycle management, and collaborate with stakeholders to address business needs effectively.