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 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.

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.

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

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

The Research Manager will lead AI-powered insight projects, manage client relationships, oversee team execution, and innovate using AI tools to improve insights delivery.

The Factory Software Engineer will implement technology solutions for data integration, collaborate with stakeholders, and ensure delivery of high-quality software solutions.

The VP Analyst will provide insights on AI and application services to C-level clients, conduct research, develop content, and deliver strategic advisory sessions. They will leverage broad industry experience and technical knowledge in AI technologies and application stacks.

The Account Executive is responsible for driving sales and revenue, managing client relationships, and collaborating with cross-functional teams to grow partnerships in the mobile advertising sector.

As a Pre-Sales Manager at Ravelin, you will provide technical expertise, support sales processes, and ensure smooth onboarding for clients.

The Lead Product Marketing Engineer will drive awareness and engagement for DataRobot's Agentic AI platform, crafting narratives, creating content, and managing partnerships to inspire C-level executives and technical audiences.

The Product Manager Insurer Experience will enhance the Insurer experience on the AI Risk Exchange platform by identifying opportunities, collaborating with teams, and delivering high-impact solutions that drive value for third-party insurers.

Lead the product team at Zego, driving strategic direction and AI integration, managing cross-functional programmes, and mentoring PMs to enhance product impact.

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

The Principal Solutions Architect leads technical solution design, partners with hyperscalers, ensures architectural integrity, and drives customer engagement through compelling narratives and demos.

You will analyze and enhance AI models related to Eastern European events, annotate data feeds, and work on improving real-time data tooling.

The Lead Data Scientist will set technical directions, oversee complex projects, mentor teams, and build relationships with clients while ensuring high-quality deliverables.

The role involves analyzing large datasets to derive insights for business strategy, building AI solutions, and communicating findings to the CEO.

The AI Research Engineer will develop AI models to enhance product autonomy, analyze extensive data, and deliver impactful solutions, driving innovative product features.

Lead cross-functional teams of machine learning engineers and data scientists, driving technical direction and fostering a collaborative environment to develop high-quality ML-driven capabilities.