Top AI Jobs in Edinburgh

Welo Data seeks candidates fluent in Simplified Chinese for remote AI data labeling, evaluation, and instruction tasks, offering flexible hours.

Welo Data seeks individuals to enhance AI by providing high-quality language data through annotation, evaluation, and prompt creation, focusing on inclusivity.

Join Welo Data to work on AI projects, focusing on annotation, evaluation, and prompt creation in a flexible, remote environment. Requires fluency in Greek.

Join Welo Data to contribute to AI projects focusing on data annotation, evaluation, and enhancing AI models with culturally aware input. Fluency in French and comfort with digital tools are required.

Join Welo Data for AI data annotation and evaluation tasks, working remotely with flexible hours. Contributors shape the future of AI.

Join Welo Data to enhance AI technologies by engaging in annotation, data collection, and model evaluation while working flexibly in a global community.

Join Welo Data to contribute to inclusive AI through language data tasks like annotation, evaluation, and prompt creation. Remote work with flexible hours.

Join Welo Data to assist in AI data annotation, evaluation, and instruction creation tasks, all remotely with flexible timing. Candidates must be native or near-native Cantonese speakers with English proficiency and digital tool familiarity.

Welo Data seeks individuals fluent in Flemish for remote roles in AI-related annotation and evaluation tasks. Responsibilities include transcription, prompt engineering, and data collection.

Join a community of linguists and contribute to AI through annotation, evaluation, and prompt creation in a flexible, remote role.

The role involves designing and implementing machine learning solutions, managing projects from idea to deployment, and optimizing models using AWS and Docker.

The Senior Product Manager for Safety AI will define product strategy, lead AI/ML development cycles, and drive innovative solutions to improve safety outcomes in industries using IoT data.

The Principal Product Manager for the AI Video-Based Safety Platform will define the 3-5 year vision and roadmap, lead strategic development in AI/ML, and work on impactful product strategies for safety in industrial operations.

The Product Manager II will drive the roadmap for Video-based Safety, working with engineering and machine learning teams to launch features that enhance safety using AI and large-scale data.

The Territory Manager drives strategic growth by managing key accounts, identifying new business opportunities, and aligning SUSE's solutions with client needs. Responsibilities include relationship building, consultative selling, and collaborating with cross-functional teams to enhance customer success and revenue growth.

The AI Software Engineer will design and implement AI systems, collaborate with cross-functional teams, deploy end-to-end AI pipelines, and maintain ethical AI practices.

The Principal Product Manager leads product lifecycle management for brand safety solutions using ML/AI, ensuring effective collaboration and communication across teams.

Deliver compelling presentations and host discussions on emerging AI topics, engaging with senior leaders to translate AI concepts into strategic insights.

The Senior Director Analyst will provide insights for CIOs in financial services, focusing on risk strategy, technology trends, and best practices.

Contribute to fullstack features using JavaScript, Ruby, and Python, collaborating with teams for development, bug fixes, and performance enhancement.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

Lead a team of AI Product Designers to shape the future of AI-powered developer tools, managing design strategy, user research, and cross-functional collaboration.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

As a Senior Product Manager, you'll identify key problems, develop product strategies, collaborate cross-functionally, and enhance customer experience in Operations, focusing on tech-led support systems and AI innovations.

Design and implement AI conversational flows, collaborate with cross-functional teams, analyze metrics, and stay updated on AI trends.