Top Machine Learning Jobs in Edinburgh

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 Customer Success Engineer will act as a technical expert and advisor, ensuring customers adopt Deepgram's voice technologies effectively, manage customer relationships, conduct demos, and drive growth opportunities.

As a Senior Software Engineer on the Global Compliance team, you'll develop systems for monitoring and reporting driver compliance, collaborating with team members across firmware, back-end, and mobile technologies.

The EMEA Sales Leader will drive the company's expansion in the region, establish sales pipelines, develop partnerships, and oversee the sales team.

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

As a Principal Engineer, you will develop scalable systems for threat detection, lead product strategy, and collaborate with cross-functional teams.

Join the TES team to support Solution Engineering by delivering complex technical use cases, assisting with PoV engagements, and gaining experience with identity security and SaaS technologies.

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

As a Customer Analytics Manager, lead initiatives for customer growth through analytics, collaborate on strategies, and optimize performance for loans.

The Loans Performance Senior Analyst influences customer pricing and enhances commercial performance through data analytics, reporting solutions, and collaboration with technical teams.

The Head of Master Data Management oversees master data governance and quality, leads MDM initiatives, and implements data standards while driving AI integration across the organization.

Lead the design and development of telematics data products, influence the roadmap, and deliver full-stack features while collaborating with teams to ensure product success.

The Senior Director Analyst will conduct research and analysis in data management, focusing on trends, best practices, and emerging technologies, while supporting sales and client engagement.

As a Solutions Architect at NVIDIA, you will provide technical guidance, develop AI solutions for financial services, and support stakeholders.

The Senior Machine Learning Scientist will design and implement AI solutions, manage research projects, and collaborate with cross-functional teams to improve the AI Agent product at Zendesk.

As a Staff Software Engineer, you will build platform infrastructure for real-time data processing, solve optimization problems, and implement APIs and UI designs.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

As a Senior Research Engineer, you will manage data lifecycle for researchers, build a human-centric data lake, and enhance model performance through high-quality datasets in an AI-driven environment.

The Staff Machine Learning Scientist will lead product vision through innovation, overseeing the R&D lifecycle, mentoring junior team members, maintaining research standards, and advancing AI technology in conversational systems.

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.

As a Senior Data Discovery and Enrichment Expert, you will conduct legal research for AI solutions, create training data, and mentor colleagues.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

Responsible for managing sales activities and relationship-building with tier 1 and tier 2 financial services in the UK, executing strategies for account growth.