Top Machine Learning Jobs in Glasgow

As a Software & ML Engineering Manager, you'll lead a team to build systems that analyze telematics data, detect anomalies, and improve operational insights. You'll mentor engineers, define product roadmaps, and collaborate with cross-functional teams to deliver impactful solutions.

Lead a team of SW and ML engineers to develop solutions that analyze telematics data for anomaly detection and incident resolution, ensuring collaboration across multiple teams.

As an Experienced Software Engineer, develop scalable systems using Java or Python, execute software solutions, and enhance application stability through technical troubleshooting and coding best practices.

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.

As a Lead Software Engineer, you'll design, develop, and deliver innovative software solutions while mentoring other engineers and driving best practices in UI and integration.

This permanent graduate role involves working on engineering projects, receiving mentorship, and rotating among business units to develop engineering solutions.

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

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.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

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

The Staff/Senior Backend Engineer will bridge Quant Analysts and engineering teams, implement production-grade models, and enhance architecture and best practices.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

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.

The Senior DevOps Engineer will design, implement, and optimize ML/AI pipelines using Azure Databricks, ensuring AI models are production-ready and scalable.

The Senior Platform Engineer in Machine Learning at Monzo will design, maintain infrastructure for ML models, and work with various cloud technologies.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.