Top Machine Learning Jobs in Edinburgh

As a Staff Machine Learning Engineer at Mozilla, you will lead the integration of Generative AI solutions in Firefox, develop infrastructure for model training, and optimize deployed models while mentoring junior engineers.

The Senior ML Engineer will design and optimize ML/DL solutions for unstructured content understanding and AI deployments, focusing on innovation and efficient architectures.

As a Principal AI Engineer, you will lead an AI engineering team, oversee AI project lifecycle, and drive data-driven decisions while staying updated on AI advancements.

The Senior Consultant will architect and manage Genesys AI and digital customer experience implementations, perform risk assessments, and travel internationally up to 30%.

Support the development and deployment of AI solutions, gain exposure to machine learning and natural language processing, and collaborate on AI capabilities integration.

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 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.

As an Engineering Lead, you'll guide a cross-functional team, ensuring alignment of business goals and technical execution while mentoring engineers and driving innovations in software solutions.

The Applied AI Research Scientist develops ML models/techniques, leads research projects, reviews literature, and explores data sources to enhance AI applications in architecture and engineering.

The role involves developing innovative software for BlackRock's AI and trading platform, using Java and related technologies, while contributing to AI and ML projects.

Lead a team to develop platform services for transportation products, ensuring high-quality coding practices, mentoring, and ownership throughout the SDLC while integrating innovative technologies.

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

As a Refining and Petrochemical Process Optimization Engineer, you will leverage machine learning to optimize industrial processes, collaborate with clients, and enhance product usage. You must possess a strong background in chemical engineering and have 3-10 years of industry experience, traveling up to 30%.

Develop and maintain AI and machine learning algorithms, create data pipelines, collaborate with cross-functional teams, and deliver robust product features.

Develop and monitor AI/ML models for analyzing blockchain data, collaborating with teams to enhance Nansen's platform and user experience. Mentor junior engineers and align AI initiatives with business goals.

As a Machine Learning Performance Engineer, you will optimize ML tasks, implement GPU kernels, collaborate with researchers, and improve software performance for Autodesk products.

As a Machine Learning Cloud Optimization Engineer, you will optimize ML tasks, write code, train models, and collaborate with a global team on AI-powered product features.