Top Machine Learning Jobs in Edinburgh

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

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.

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

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 Software Engineer will design and develop features for Proton.ai products, collaborate with cross-functional teams, improve infrastructure, and enhance software quality using Agile methodologies.

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.

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.

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

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

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

Design and build high-scale data infrastructure for Ads ML feature computation, enhance data quality, and collaborate with ML engineers.

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.

Design and implement ML solutions, fine-tune and integrate LLMs, and collaborate on deploying intelligent features in production environments.

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.

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