Top AI Jobs in Edinburgh

The Full Stack Engineer will develop an AI-powered agency management system, focusing on frontend and backend components, integrating AI models, ensuring system scalability and security, and collaborating with cross-functional teams.

In this role, you will design, develop, and operate AI features that add customer value. You'll participate in requirements analysis, propose innovative AI solutions, write clean scalable code, and mentor team members while improving performance and security of voice solutions at Aircall.

As a Senior AI/ML Engineer at Upwork, you will develop machine learning models in the Search & Recommendations domain, analyze data to enhance model performance, and collaborate with business and engineering teams to drive impactful recommendations. Responsibilities include building efficient features, optimizing recommendation systems, and sharing insights with stakeholders.

The AI Software Engineer will develop components of an AI software stack, optimize applications, implement mathematical operators, and validate models on new hardware platforms. The role requires collaboration and a strong desire to learn new skills.

The AI Experience Architect will lead the design and development of AI-driven interactive experiences, focusing on user engagement through storytelling and innovative technology. Responsibilities include conceptualizing and executing applications, optimizing machine learning models, and collaborating with various teams to ensure brand alignment and user-centric designs.

As a Lead/Senior Fullstack Engineer, you will enhance the Mimica Web App by designing robust architecture, developing new features, and managing production-level challenges. Your responsibilities include creating visualization tools, enabling real-time editing for users, and participating in architectural decisions while mentoring teammates and managing projects.

As the Lead QA Automation & Test Engineer, you will enhance the QA process by defining test strategies, creating plans, authoring and executing automated tests, mentoring engineers, and collaborating with teams to ensure quality standards. Your role focuses on refining automated testing frameworks and improving release cycles in an AI-powered web application environment.

The Video Marketer will produce engaging marketing videos for AIPRM software while enhancing existing materials. They will monitor AI market trends and maintain quality across all content. Responsibilities include creating videos for platforms like YouTube and TikTok.

The Solutions Architect will design and implement cloud architecture solutions focusing on Ubitus, Tencent Cloud, and AWS. Responsibilities include cloud services integration, providing technical leadership, collaborating with customers on AI requirements, and maintaining technical documentation. The role also involves customer engagement through workshops and training, alongside travel for support and industry events.

As a Presales AI/ML Engineer at Neptune, you'll be presenting the product capabilities to AI research and ML teams globally, crafting compelling narratives to accelerate their work and help them achieve AI breakthroughs.

This role involves helping to train generative AI models by crafting and answering computer science questions and evaluating AI-generated code. It is a freelance, remote opportunity with flexible hours.

As a Data & AI Consultant, you will act as a strategic advisor, working with clients to identify and implement Data & AI solutions that drive business value. Responsibilities include leading client engagements, collaborating on use cases, advising on data governance, and educating executives on relevant technologies.

Join Contrast Security as an ML Developer to design, develop, and deploy ML models for cybersecurity. Collaborate with teams to integrate and improve models, develop the AI/ML platform, and mentor team members. Stay updated on ML trends and technologies.

Lead engagements with customers from presales to implementation of cloud services with a focus on Data & AI. Responsible for solution ownership, customer workshops, requirements documentation, and project estimation. Collaborate with sales teams and Data & AI Delivery Lead to ensure alignment and necessary expertise. Part of the senior leadership team guiding the development of skills within the Data and AI team.

The Course Development Engineer will create and improve technical courses related to Data and AI, ensuring quality and alignment with learning objectives while collaborating with course review engineers.

As a Solutions Principal, you'll customize AI/ML solutions, partner with sales teams, and guide solution proposals for large businesses in various sectors. You will oversee service-led sales pursuits, manage customer expectations, and evangelize technology solutions while collaborating with cross-functional teams at Dell.

The AI/ML and MLOps Field Engineer at Canonical will assist global companies in adopting AI using open source technologies on cloud infrastructures, primarily focusing on Linux and Kubernetes. Responsibilities include architecting cloud solutions, engaging in customer interactions, and solving complex data architecture problems using various data technologies.