Top AI & Machine Learning Jobs

Design, develop, deploy, and maintain AI/ML pipelines and applications for aircraft manufacturing and factory digitalization. Build software verification systems meeting aviation safety requirements and collaborate internationally in English.

The Data Scientist will develop predictive models, analyze statistical data, and optimize supply chain processes while collaborating with business and technical teams.

Join Boeing Vancouver's Digital Services as a Junior Data Scientist to build and maintain production analytics and NLP/ML solutions. Collaborate with product teams, implement MLOps pipelines, fine-tune LLMs, perform text and multimodal data ingestion, validate models, and communicate results to stakeholders.

Lead and scale an enterprise Agentic AI Center of Excellence: define strategy, operating model and governance; build and mentor a high-performing AI team; partner with business and technology stakeholders to run pilots, deploy production solutions, manage partners, ensure compliance, and drive measurable enterprise AI value.

Provide program management and operational support for Boeing Vancouver's Analytics Ecosystem: cultivate external partners, draft SOWs, manage NDAs and procurement, define project requirements, provide technical liaison on generative AI, predictive and clean energy analytics, and coordinate research collaborations and capability delivery across stakeholders.

Develop and productize AI/ML and GenAI solutions (including LLMs, NLP, computer vision) for aerospace applications. Own end-to-end ML lifecycle: data pipelines, training, deployment, monitoring and optimization. Conduct R&D, prototype PoCs, mentor junior staff, collaborate with international teams and stakeholders, and document results to improve aircraft performance, manufacturing, and operational efficiency.

Lead AI/ML data scientist will define and deploy advanced analytics solutions, mentor data science teams, engage stakeholders, design and validate ML/NLP/LLM models, and drive enterprise adoption across aircraft operations, engineering, supply chain, manufacturing, quality, and safety.

The AI Application Engineer will develop, deploy, and maintain AI/ML pipelines, focusing on advanced AI application development for aircraft manufacturing and digitalization.

Design, build and support cloud-based data pipelines, data models, and MLOps for sensor/time-series analytics and predictive maintenance. Collaborate with data scientists and engineers on data quality, CI/CD, deployment, and documentation.

Design, build, and deploy end-to-end AI applications and agentic workflows. Bridge web front-end and MLOps, manage databases and REST APIs, improve reliability/observability, support deployments, and define SLIs/SLOs and operational best practices.