Top AI & Machine Learning Jobs

The Principal AI Engineer leads the design and operationalization of complex AI systems, architecting multi-agent solutions while ensuring safety, reliability, and performance. They mentor engineers and improve processes and products based on measurable outcomes.

Lead engineering for agentic AI products and platforms: define architecture and strategy, build and scale teams and reusable frameworks, drive production-grade agent systems (orchestration, memory, tool integration, observability, safety), partner with Product/Data/Security, and enable enterprise adoption through tooling, standards, and measurable success metrics.

Lead hands-on development, deployment, and operation of production AI and agentic systems. Build ML services, pipelines, APIs, and model-serving/monitoring/retraining capabilities. Partner with data scientists and platform/security teams to productionize models at scale, ensure reliability, observability, security, and governance, and mentor engineers.

Lead design, build, and production deployment of AI and agentic systems. Develop and operate ML services, pipelines, and APIs; productionize models, implement model serving, monitoring, evaluation, and retraining; collaborate with data scientists and platform, security, and infrastructure teams to ship reliable, secure, and governed AI at scale.

Lead design, development, and production deployment of AI and agentic systems. Build and operate ML services, pipelines, model serving, monitoring, evaluation, and retraining. Collaborate with data scientists and platform/security teams to productionise models, ensure reliability, observability, security, and governance, and mentor engineering peers.

Lead hands-on development and production deployment of AI and agentic systems. Build and operate ML services, pipelines, model serving, monitoring, and retraining. Partner with data scientists to productionize models at scale, ensure reliability, security, and governance, and collaborate with platform, security, and infrastructure teams. Provide technical leadership and mentorship.

Lead development and production deployment of AI and agentic systems. Build and operate ML services, pipelines, model serving, monitoring, evaluation, and retraining. Partner with data scientists to productionize models, ensure reliability, security, and governance, and collaborate with platform, security, and infrastructure teams. Provide technical influence and mentorship.

Lead hands-on design, development, and production deployment of AI and agentic systems. Build and operate ML services, pipelines, and APIs; implement model serving, monitoring, evaluation, and retraining. Partner with data scientists to productionize models, ensure reliability, security, and governance, drive technical design reviews, and mentor engineers.

Lead design, build, and production deployment of AI and agentic systems. Implement and operate ML services, model serving, monitoring, evaluation, and retraining pipelines. Partner with data scientists to productionize models, ensure reliability, security, and governance, and collaborate with platform, security, and infrastructure teams.

As a Lead Data Scientist, you will develop algorithms to combat financial crime, collaborate with teams, and engage in product design and prototyping using payments data.