Top Machine Learning Jobs in Edinburgh

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.

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 Senior Data Scientist will lead AI-native capabilities development, build machine learning models, and collaborate across teams for advanced analytics supporting energy market strategies.

The Engineering Manager will lead a team focusing on automating end user support, improving workflows with AI, and mentoring engineers through this transformation.

As a Junior Quantitative Trader, support trading activities, analyze algorithm performance, improve trading workflows, and assist with compliance and risk management.

Lead AI transformation initiatives in procurement, creating impactful research, developing strategies, and advising clients on AI integration and analytics for business outcomes.

As a Senior Enterprise Architect, you'll lead AI strategy, define transition roadmaps, and collaborate with teams to ensure compliant AI solutions across the bank.

The Data Architect will develop and manage data integration solutions, support stakeholder engagement, and oversee technology architecture for data projects in defense. The role involves delivering customer solutions, managing lifecycle deliverables, and championing data management standards.

The Product Manager will lead the vision for the demand forecasting module, improving model performance and driving product adoption while collaborating with various teams.

The Senior Director will lead global teams in technology services, ensuring operational excellence, collaboration across functions, and driving technical strategy for digital solutions.

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

As an Engagement Manager, you will enhance customer utilization of BioCatch's Behavioral Biometric solutions, manage relationships, lead projects, and identify sales opportunities.

The Account Executive will drive sales performance, manage client relationships, execute the sales process, and generate revenue from new business deals, particularly in the ad-tech sector.

As a Research Engineer, you'll develop and manage data systems for text-to-speech projects and enhance machine learning models using innovative strategies.

As a Sr. Account Executive, you will sell and develop customer relationships while building your territory, focusing on customs clearance efficiencies.

The Presales Engineer will address financial crime compliance needs by engaging clients, presenting solutions, leading POCs, and enhancing customer relationships.

Define and execute a greenfield product vision for messaging performance reporting across Email, SMS, and WhatsApp. Build roadmaps that connect reporting, insights, and predictive/ML capabilities; partner with Engineering, UX, and infrastructure teams to deliver scalable analytics, establish success metrics, and drive initiatives from discovery through launch to improve marketers' performance outcomes.

The role involves designing scalable data pipelines, implementing custom ML algorithms, and working on microservice architectures for ad optimization models.

As an Account Executive, you'll drive new business growth, manage sales opportunities, understand client needs, and ensure customer satisfaction within the SaaS sector, focusing on enterprise solutions.

Design and implement large-scale AI/ML systems using LLMs and RAG. Develop data pipelines, optimize models, and collaborate with teams on actionable intelligence solutions.

The Financial Crime Product Manager will oversee the lifecycle of financial crime tools, manage the engineering backlog, develop product roadmaps, and align them with compliance and business goals.

The Senior Director leads AI transformation in procurement, creating research content, offering actionable insights, and collaborating to drive strategy and change management.

The Applied Machine Learning Scientist will innovate and implement ML algorithms to enhance advertising performance, collaborate with engineers, and prototype in data-driven models.