Top Machine Learning Jobs in Glasgow

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.

The Senior Lead Data Architect develops data architecture solutions, manages data governance, and ensures quality standards in software applications.

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.

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 Developer Relations Manager will engage developer ecosystems, drive adoption of NVIDIA technologies, and collaborate across functions to enhance developer programs and solutions.

As a Software Engineer Intern, you will build features for user-facing products, design data pipelines, implement scalable services, and contribute to technical documentation while being part of a collaborative team.

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.

Lead a team of ML Engineers to develop and optimize ML systems, ensuring high-quality clinical care through AI. Foster collaboration across teams for innovative AI/ML features.

Lead the AI compiler team to develop compilers for NextSilicon's platforms, leveraging expertise in large-scale compiler development and machine learning.

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

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

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 high-scope AI and ML projects, focusing on Generative AI. Collaborate with cross-functional teams to design and implement solutions that enhance patient care.

The Senior Quality Operations Engineer will manage quality systems, ensure compliance with regulations, oversee audits, and optimize workflows in medical technology.

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.

As a Founding AI/ML Software Engineer, you'll design and deploy ML models for financial services, contribute to AI systems, and collaborate with cross-functional teams.

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.

As a Senior Software Engineer, you'll create advanced AI systems to improve developer productivity, integrate existing tools, and mentor junior engineers.

The Robotics ML Engineer will build AI-first robotics projects and data pipelines, create educational content, and interact with customers to improve projects at Rerun.

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