Top AI & Machine Learning Jobs

Lead product definition and delivery of AI-powered platform capabilities. Own roadmap, backlog, requirements, and operationalisation of AI rules, APIs, integrations, and monitoring. Partner with engineering, data science, business, risk, and operations to ensure scalable, reliable, and measurable AI solutions, drive experimentation, and optimise operational performance.

Lead definition and delivery of AI-powered products and operational services: set roadmap, manage AI rules, prioritize backlog, lead agile delivery, partner with engineering and data science, ensure scalable, measurable, and reliable AI solutions, and drive continuous optimization through monitoring and experimentation.

Lead Technical Product Manager responsible for defining and executing AI-powered product strategy, owning roadmap and delivery, managing AI rules and operational processes, partnering with engineering, data science, and operations, and ensuring scalable, measurable, and reliable AI platform capabilities.

Lead the product strategy, roadmap, and delivery for AI-powered platform capabilities. Define AI business rules, translate stakeholder needs into features, prioritise backlog, drive cross-functional delivery, ensure scalable APIs, integrations, and monitoring, and measure and optimise AI outcomes with engineering, data science, operations, and business teams.

Lead Technical Product Manager defining and delivering AI-powered products and operational services. Own roadmap, requirements, backlog, and delivery; partner with engineering, data science, risk, and operations to ensure scalable, reliable, measurable AI solutions and optimize outcomes through monitoring and experimentation.

Lead Technical Product Manager to define and deliver AI-powered products and operational services. Own roadmap, requirements, backlog, and delivery; partner with engineering, data science, risk, and operations to ensure scalable, measurable, and reliable AI solutions. Drive AI rules, decisioning, monitoring, experimentation, and platform architecture while leading cross-functional stakeholders and Agile/SAFe ceremonies.

Lead definition, delivery, and operationalization of AI-powered products. Own roadmap, backlog, requirements, and metrics. Partner with engineering, data science, business, risk, and operations to ensure scalable, reliable, and measurable AI solutions and drive continuous optimization and rule management.

Lead definition, delivery, and operationalisation of AI-powered products and services. Own roadmap, backlog, technical requirements, AI business rules, integrations, monitoring, and cross-functional delivery with engineering, data science, operations, and business stakeholders.

Lead Technical Product Manager responsible for defining and delivering AI-powered products and operational services. Own roadmap, backlog, feature prioritization, and cross-functional delivery. Drive AI rules, platform capabilities, APIs, integrations, and operational monitoring. Align products with business goals, measure outcomes, and optimize through experimentation and feedback.

Design, build, and operate enterprise-grade AI solutions using LLMs, RAG, LangChain, and vector search. Architect scalable, secure cloud systems (AWS, Cloudera, Databricks), develop APIs and microservices, monitor model performance, ensure data governance and compliance, mentor engineers, and collaborate cross-functionally to deliver production-ready AI applications.