Top Machine Learning Jobs in Glasgow

Lead and mentor an agile team to design, develop, secure, and operate scalable cloud-native applications using modern front-end tech and AI-assisted engineering practices; drive automation, code quality, resiliency, and operational stability.

Design, develop, and troubleshoot secure, production-grade software. Produce architecture and design artifacts, analyze large datasets, drive improvements in code quality and system architecture, and leverage enterprise AI-assisted tools while ensuring secure and responsible AI use.

Lead and deliver secure, scalable software solutions across multiple teams. Design architecture, produce production-quality code, troubleshoot systems, analyze large datasets, and provide technical leadership to regional and global feature teams while promoting agile practices and inclusive culture.

Lead design, develop, and deliver secure, scalable software for the Corporate Investment Bank. Drive architecture reviews, troubleshoot and review code, automate remediation, promote CI/CD and resiliency practices, evaluate vendors, and foster engineering best practices and inclusive team culture.

Lead Software Engineer responsible for designing, building, and supporting cloud-native payments solutions end-to-end. Deliver secure, high-quality production code, drive CI/CD and automation, improve resiliency and security, and leverage AI to optimize development and operations.

Lead design and delivery of secure, scalable enterprise software for private banking. Build reusable frameworks, integrate AI/ML, ensure operational stability, mentor engineering teams, and influence senior stakeholders to drive digital transformation.

Lead engineer to architect and deliver AI-driven workflows and real-time Java/Kafka trading platforms. Design, develop, optimize low-latency systems, ensure operational stability, drive SDLC and CI/CD, promote resiliency and security, and collaborate with global stakeholders.

Build and scale AI-driven backend systems and infrastructure for retail intelligence: develop the AI chatbot, agents, tooling and MCP integrations, evolve data processing across AWS and bare metal, own features end-to-end, and mentor team members.

As a C++ Engineer, you will develop machine learning features, integrate models, maintain SDKs, and collaborate across teams for software performance and enhancements.

The role involves building infrastructure for training open source foundation models, with emphasis on autonomy and contributing in a dynamic team.

Lead engineering systems and teams for an AI chat application, focusing on backend, mobile, and desktop. Oversee strategy, architecture, integration, and high-impact technical decisions for reliable user experiences.

Design, develop, and maintain high-performance, secure Java backend services and APIs. Ensure reliability, scalability, and cost-efficiency across microservices, databases, messaging systems, and capacity planning. Troubleshoot, profile, benchmark, and optimize systems (including ML applications) and collaborate with Kazakhstan stakeholders.

As a Principal Engineer at M&S, you'll drive technical strategy, influence architecture, and mentor engineers while delivering on personalization, search, and machine learning features in collaboration with cross-functional teams.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

As an AI/ML Engineer, you will design and develop AI-powered applications, integrate AI features into BPM systems, and collaborate with teams to improve operational efficiency through innovative AI solutions.