Top Machine Learning Jobs in Edinburgh

Lead the creation of user-centric digital products in financial services, focusing on intuitive design and leveraging AI for enhanced user experiences.

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

The role involves deploying, implementing, and supporting CrowdStrike's AI capabilities to enhance detection, automate workflows, and optimize security for customers, requiring strong AI and cybersecurity knowledge.

This role involves developing software for investment analytics, collaborating with clients, enhancing system features, mentoring, and ensuring system performance and quality.

Develop and maintain high-quality software solutions for alternative investment analytics, mentor junior developers, and enhance operational efficiency through innovative engineering practices.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

The VP of AI Platform Engineering will lead AI development at BlackRock, focusing on scalable architecture, team management, and cross-functional coordination to enhance engineering capabilities and empower technologists.

The Performance Analytics Manager will lead a team to develop insights, optimize performance, and enhance customer experiences through data analytics in the banking sector.

As a Performance Analytics Senior Analyst, you'll lead data insights for optimizing performance across various brands, ensuring responsible lending and strong commercial performance through analytics and reporting solutions.

The Salesforce Developer will design and deploy AI models within Salesforce, configure features, support integration, provide training, and maintain documentation while ensuring compliance with regulations.

The Senior Product Manager will own and drive the development of Kraken's Algorithmic Execution & Strategy Engine, focusing on execution algorithms, API specifications, and client engagement to optimize trading strategies.

As Senior Product Manager, you'll lead the integration of global airline partners, optimize supply metrics, and enhance product specifications for seamless booking automation, focusing on AI solutions and API performance.

Lead the Compliance Infrastructure and Analytics team to develop financial crime solutions, ensuring regulatory compliance while enhancing product efficiency and user experience.

As a C++ Engineer, you will develop machine learning features, integrate models, maintain SDKs, and collaborate across teams for software performance and enhancements.

As an MLOps Engineer, you will develop and implement ML features for pricing strategies, maintain MLOps practices, and ensure the performance and reliability of ML systems.

As an MLOps Engineer, you'll build and implement features enhancing data-driven pricing for hotels, ensuring reliability and scalability of ML systems, streamline data pipelines, and collaborate with teams for impactful revenue growth.

The Principal Software Engineer will define and build AI-powered systems for customer journeys, focusing on onboarding, activation, and growth, while mentoring senior engineers and influencing technical decisions across teams.

Manage the product lifecycle for financial crime tools, ensuring compliance and innovation while liaising between business and engineering teams.

Lead AI practice research and thought leadership to help enterprises scale AI for business value. Produce insights, advise executives, present at events, support sales, and collaborate on market analysis and content.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

The Data Scientist will analyze data, build and refine machine learning models, document technical designs, and collaborate with multidisciplinary teams to deliver AI solutions.

Lead the curriculum product strategy and a team of Product Managers, retain hands-on ownership of high-impact products, collaborate with cross-functional teams, and drive AI/data-driven product development and adoption through the full product lifecycle.

As a Principal Engineer at M&S, you'll drive technical strategy, influence architecture, and mentor engineers while delivering on personalization, search, and machine learning features in collaboration with cross-functional teams.

The Senior Data Scientist will lead data science initiatives, applying machine learning and statistical methods to solve business problems, and collaborate with cross-functional teams to design and implement predictive models.