Top AI & Machine Learning Jobs

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 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.

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 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.

Design and implement cloud and platform solutions (AWS/Azure) using Terraform, integrate Generative AI/LLM technologies with enterprise tools (Grafana, Splunk, Collibra, Kubernetes, Envoy, LiteLLM), collaborate with architects and stakeholders to define integration patterns and scalable designs, and provide hands-on implementation and technical consulting within Agile teams.

The Generative AI Engineer will define strategies for Generative AI, design and build innovative products, and mentor engineers, focusing on AI transformation for financial services clients.

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

Design and implement Generative AI solutions to improve operational efficiency. Collaborate with teams to identify opportunities and ensure data governance.

Design, prototype, and deploy generative AI solutions (LLMs, RAG, agents) across the full lifecycle. Build scalable backend services and APIs, deploy models in cloud (AWS/Azure/GCP), collaborate with cross-functional teams, and support knowledge sharing and mentoring.

Design, prototype, and productionize generative AI solutions (LLMs, RAG, agents). Build scalable backend services and APIs, deploy on cloud (AWS/Azure/GCP), collaborate cross-functionally, and support knowledge sharing and mentoring.