Top AI Jobs in Manchester

Develop end-to-end web systems and APIs for a modern AI platform, optimizing AI tools and solving real-world challenges in a fast-paced environment.

Outlier seeks software engineers to provide coding expertise for training AI models through question crafting and code evaluation.

The role involves crafting questions and evaluating AI-generated code to enhance the accuracy of generative AI models. Ideal candidates should have coding contest experience and solid programming skills.

This job involves coding expertise for training AI models, crafting computer science-related questions, and evaluating AI-generated code. Fluency in Traditional Chinese is required.

Outlier seeks experienced coders to provide feedback and assist in training AI models. Responsibilities include crafting questions and evaluating AI-generated code.

Design and implement AI infrastructure for intelligent functionality. Collaborate across teams to scale AI impact globally, ensuring AI systems are robust and production-ready.

Lead engineering projects at Synthesia, enhancing team performance and delivering AI-powered video solutions while ensuring effective communication and conflict resolution.

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

As a Senior Generative AI Engineer, you will develop AI applications, collaborate with engineers, optimize solutions, and drive architectural improvements.

The Staff ML Engineer / ML Team Lead at Zencoder will lead the development of AI-driven solutions, focusing on AI pipelines and models for code generation and refinement. Responsibilities include creating embedded AI agents, collaborating with teams, testing solutions, and staying updated on industry trends.

The Senior Full Stack Engineer will design, develop, and maintain web applications, working with frontend and backend technologies in an AI team.

As a Staff Machine Learning Engineer at Mozilla, you will lead the integration of Generative AI solutions in Firefox, develop infrastructure for model training, and optimize deployed models while mentoring junior engineers.

Design, develop, and deploy AI prototypes; collaborate with teams; utilize machine learning and AI technologies; create demos and optimize performance.

The AI Engineer will design, develop, and deploy AI prototypes quickly, working with engineering teams to create innovative solutions using ML and AI technologies.

The AI Engineer will design, develop, and deploy AI prototypes, work on innovative AI solutions, and collaborate with teams to optimize performance and scalability.

Design and build AI infrastructure for various applications, ensuring robustness and reusability while collaborating with different teams.

Support the development and deployment of AI solutions, gain exposure to machine learning and natural language processing, and collaborate on AI capabilities integration.