Top Machine Learning Jobs in Edinburgh

Lead GitLab's Custom Models team, manage high-performing engineers, and develop AI solutions tailored to customer needs while promoting innovation and collaboration.

Intern will develop embedded firmware solutions and maintain machine learning solutions and analytics, focusing on deep learning.

As a Senior ML Engineer, you will enhance the translation capabilities of Smartcat's platform using machine learning techniques like LLM tuning and inference optimization, while developing benchmarks and improving translation quality.

The Senior MLOps Engineer will design and implement MLOps solutions, manage AWS infrastructure, develop CI/CD pipelines, and mentor team members, ensuring reliable and efficient ML systems.

The AI Prompt and Quality Engineer is responsible for monitoring AI Chatbot responses, resolving quality issues, tuning models, analyzing data, and improving processes.

As an Intermediate Machine Learning Engineer, you will develop evaluation techniques, manage large language models, and collaborate on AI feature implementations, ensuring product quality and performance.

Lead the technical work on machine learning models for improving financial health, deploying them in production while collaborating across teams.

Lead the development of digital co-processors for AI accelerators, optimizing hardware architecture for performance and power efficiency through cross-functional collaboration.

Design and implement technical evaluators for LLM assessment, optimize dataset management, and collaboratively build scalable evaluation frameworks to ensure reliability of AI models.

The role involves optimizing refining and petrochemical processes using machine learning, collaborating with teams to improve efficiencies and analyze data.

Join the ElevenLabs research team as a Machine Learning Researcher, focusing on creating data management systems and developing text-to-speech models, while exploring innovative machine learning approaches.

The Senior Solutions Engineer will engage with clients to provide AI solutions, conduct technical demonstrations, and collaborate with product teams to meet customer needs.

The AI Engineer will develop and deploy LLM services for a SaaS platform, optimizing risk assessment and improving customer workflows in the insurance industry.

Lead Data Strategist will engage with customers, driving Data & AI transformation, developing technical assets, and strengthening relationships with C-suite leaders.

As a Staff Software Engineer, you'll develop and productionize Machine Learning solutions, collaborate with teams, and help grow the AI department.

As a Staff Backend Software Engineer, you will build platform infrastructure for real-time data processing, solve optimization problems, and design APIs using advanced programming techniques.

The Engineering Manager will lead a multidisciplinary team to deliver AI/ML solutions, manage projects, and cultivate a productive work environment while ensuring high standards in technical architecture and communication.

The Senior Software Engineer will discuss and research features, write code and documentation, and engage with the community on platforms like GitHub and Discord. Strong Python skills and excellent communication are essential.

As an AI Engineer, you will design and implement applications using Generative AI, contribute to open source, and collaborate with clients. You will enhance AI technology utilization and share insights through blogs and conferences.

As a Senior Backend Developer, you will design, develop, and maintain backend systems for AI solutions, manage data integration, and implement security measures.

This role involves developing and maintaining Machine Learning and data science solutions, leading ML engineering projects, and collaborating with team members.

The Principal Machine Learning Engineer at Cleo will lead the development of innovative ML solutions, enhance user personalization, and collaborate across teams to improve financial health.

As a Senior Cloud Architect, you'll architect and deploy cloud-based AI/ML solutions, optimize complex systems, and mentor team members, leveraging your AWS expertise.

As a software engineer, you'll develop end-to-end data analytics and ML solutions, working with open-source tools and collaborating remotely with global teams.

Work with product managers to enhance ML workflows and tools. Drive improvements in DVC's entry point and optimize ML practices.