AI and Machine Learning Jobs

Listed approximately 5 hours before verification. Deploy GenAI and agentic AI workflows across enterprise platforms; role references ServiceNow ITOM and requires 5+ years of relevant experience. ...read more

Listed approximately 6 hours before verification. Work directly with enterprise customers to modernise software delivery using AI-led engineering, agentic workflows, architecture and measurable production outcomes. ...read more

Listed approximately 7 hours before verification. AI engineering role at assistant vice-president level; review the live application page for the full scope and required technical skills. ...read more

Listed approximately 8 hours before verification. Support enterprise GenAI/agentic AI solution deployment and workflow integration; listing also references ServiceNow ITSM and requires 7.5+ years of experience. ...read more

Listed approximately 9 hours before verification. Design, build, integrate and productionise enterprise AI agents and full-stack systems; support production operations on Azure with attention to security, resilience and cost. ...read more

Listed approximately 9 hours before verification. Senior machine-learning and AI engineering role; consult the live job page for complete technical requirements and team responsibilities. ...read more

Full-time hybrid role, 4+ years. Build and deploy AI/ML and GenAI solutions, prototypes, full-stack applications and microservices; integrate APIs, reusable components, CI/CD and cloud-native services. ...read more

Listed approximately 11 hours before verification. Build and productionise customer Data & AI solutions, owning architecture and implementation across data engineering, AI/ML integration and application development. ...read more

Listed approximately 11 hours before verification. Help customers accelerate software delivery through AI-enabled engineering, hands-on architecture, agentic workflows and production delivery outcomes. ...read more

Listing displays as recently posted and accepting applications. Build production ML and GenAI solutions, work with data scientists, and implement modelling approaches including embeddings and fine-tuning on cloud platforms. ...read more