Top AI & Machine Learning Jobs

Design, develop, validate and deploy time series forecasting and predictive models using Python. Build scalable solutions on Azure ML and Databricks, support R-based models, implement MLOps and CI/CD for model deployment and monitoring, create analytical datasets, ensure data quality, and communicate results to technical and business stakeholders within Agile teams.

Lead Product Owner for an in‑house LLM productivity tool at a corporate and investment bank. Define product vision and roadmap, gather user insights and MI, translate features into engineering requirements, maintain the backlog, and collaborate with Customer Success and regional teams to drive adoption and delivery of AI transformation.

Support the Product Lead to design and deliver an in‑house LLM productivity tool for 200,000+ users. Contribute to roadmap, feature planning, user research and MI analysis. Translate features into requirements, maintain backlog, and collaborate with engineering, customer success, and regional teams to drive adoption and meet user needs.

Lead and deliver LLM-based AI transformation for a corporate & investment bank. Manage project governance, stakeholder engagement, risks, milestones, and cross-functional coordination. Drive scaling, adoption, and operationalization of AI solutions across multiple markets, ensuring alignment with regulatory and enterprise governance requirements.

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.

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

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.

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 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.