Top Machine Learning Jobs in Edinburgh

Manage customer accounts for Anduril's defense technology, overseeing deployment of products, nurturing client relationships, and collaborating with teams to meet operational needs.

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.

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.

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 Hardware Internship at Nethermind focuses on biometric security solutions, involving research in 3D imaging, cryptography, and machine learning applications for secure hardware development.

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

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 a team of engineers in developing AI capabilities, managing projects and ensuring high-quality work while fostering a positive culture.

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.

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.

Manage and mentor engineering teams, ensure high-quality product delivery, contribute to technical decisions, and enhance classroom learning experiences.

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.

The Senior Cloud Architect will lead cloud-based AI/ML solution development, engage with clients, enhance technical skills, and mentor team members while working with advanced AWS technologies.

As a Senior Cloud Architect, you will architect, deploy and manage AI/ML cloud solutions while mentoring team members and optimizing workflows.

As a Senior Cloud Architect, you will architect, deploy, and manage cloud-based AI/ML solutions, leveraging AWS technologies and providing consultative support to clients.

The Senior Cloud Architect will leverage cloud technologies to address customer needs, focusing on AI/ML solutions while mentoring team members and enhancing personal brand through thought leadership.

The role involves designing and deploying machine learning models, managing the ML lifecycle, and building scalable ML infrastructure to impact user experience in financial services.

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

As a Software Engineer, you'll enhance the user experience of ML tools, optimize workflows, and collaborate with product managers on ML infrastructure projects.

The Machine Learning Platform Engineer will manage cloud infrastructure, support AI researchers, and deploy models in production, focusing on MLOps and CI/CD practices.

Lead a team of Software Engineers and Data Scientists to deliver AI-powered solutions for software testing, focusing on technical strategy, product direction, and quality software delivery.

The engineer will design and build scalable data infrastructures, develop batch and event-driven features, improve data quality, and collaborate with ML engineers on feature workflows.

As a Machine Learning Engineer, you will develop production-ready data solutions, optimize algorithms, and collaborate with product teams to enhance financial data insights.