Top Machine Learning Jobs in Edinburgh

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 Senior ML Engineer at Smartcat, you will enhance translation capabilities by optimizing machine learning models and managing the full lifecycle of ML projects. Responsibilities include developing benchmarks, improving translation quality, and automating systems while leveraging advanced technologies and cloud infrastructure.

As a Manager in AI/ML, you will lead the development of AI/ML solutions, oversee multi-disciplinary teams, and provide technical leadership across various industries, driving innovation and strategic initiatives.

As a Java Full-Stack Engineer at BlackRock, you will develop high availability software systems, contribute to AI capabilities, and collaborate on BlackRock's investment operating system, Aladdin. You will work with multiple stakeholders to deliver innovative solutions while practicing Agile methodologies and leveraging AI/ML techniques.

As a Refining and Petrochemical Process Optimization Engineer, you will apply machine learning and process engineering to optimize industrial processes. Responsibilities include collaborating with clients, evaluating machine learning models, developing product usage insights, and training clients on technology usage, all while traveling throughout Europe.

As a Senior AI/ML Engineer at Nansen, you will develop and monitor AI models to analyze blockchain data, collaborate with cross-functional teams to enhance the platform's analytical capabilities, and mentor junior engineers. Your work will significantly influence decision-making for crypto investors and drive the technology forward.

The Senior Machine Learning Engineer at Sona will lead the development of forecasting models to enhance client satisfaction and operational efficiency. This role involves solving complex problems, working with data, deploying machine learning systems, and engaging with industry experts to optimize model performance across various environments.

As a Machine Learning Performance Engineer at Autodesk, you will implement GPU kernels, optimize machine learning tasks, and collaborate on projects with researchers. Your responsibilities include writing efficient code for machine learning, managing GPU resources, and supporting research through ML pipelines and prototypes.

As a Machine Learning Cloud Optimization Engineer at Autodesk, you will enhance ML product features, optimize tasks, implement generative AI features, and collaborate with a global team to support research through the construction of ML pipelines and prototypes.

The Senior ML Data Engineer will collaborate with product managers and data scientists to develop end-to-end machine learning solutions, maintain a serverless ML-powered GraphQL stack, support deployment of ML models, and manage large datasets effectively while ensuring operational infrastructure is supported.

The AI/ML Specialist Solutions Architect designs AI solutions for clients, resolves technical challenges, and manages scalable AI deployments.

The Senior Machine Learning Engineer will lead the development of machine learning models and algorithms for detecting account takeovers, collaborate with teams to implement solutions, monitor production models, and mentor junior members.

As a Computer Vision / Machine Learning Engineer, you will enhance Scan-to-CAD automation leveraging a unique dataset of scans and CAD models. Your responsibilities include researching state-of-the-art approaches, developing algorithms, training neural networks, automating internal tooling, and improving ML infrastructure.

As a Data Platform Engineer, you will support the ML Platform Team in developing a high-scale compute and data platform, provision and expose data for researchers, implement workflow orchestrators, and ensure ML engineering best practices are followed.

As an Engineering Manager, you will lead multiple product teams to enhance vegetation modeling and data ingestion, manage up to 10 engineers, and ensure high-quality product delivery while fostering team growth and collaboration.

As a Staff Machine Learning Engineer at Mozilla, you will lead the development of Generative AI solutions for Firefox. Your responsibilities include designing and integrating these solutions, building infrastructure for model training and inference, and ensuring the reliability of models through robust validation. You'll also collaborate with multiple teams to enhance AI-driven experiences for users.

The Senior Software Engineer will lead architecture for a multi-disciplinary team, build and maintain tools for model development in statistical and machine learning, and ensure high-quality practices for model pipelines while monitoring production models and tuning performance.