Top AI Jobs in Manchester

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

As a Senior Software Engineer, you will lead AI-enabled engineering initiatives, designing multi-agent systems and integrating AI in software development processes.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

The Senior DevOps Engineer will design, implement, and optimize ML/AI pipelines using Azure Databricks, ensuring AI models are production-ready and scalable.

As an AI/ML Engineer, you will design and develop AI-powered applications, integrate AI features into BPM systems, and collaborate with teams to improve operational efficiency through innovative AI solutions.

Create AI-driven video ads for TikTok campaigns by using tools like Runway and Pika, editing for performance, and experimenting with formats.

The AI Presales Specialist will lead technical sales efforts, demonstrate AI capabilities, architect solutions, and engage with customers to drive AI sales opportunities.

As a Software Engineer, you will help train large-language models in code evaluation and training, focusing on Ruby, with an emphasis on code review and improvement.

Responsible for training large-language models by reviewing, ranking, and improving AI-generated code. Requires strong software engineering skills.

Train large-language models to improve code quality by comparing snippets, providing feedback, and refining AI-generated code. Requires strong communication skills and attention to detail.

The role involves driving new business growth through AI transformations, building senior client relationships, and leading consultative sales for AI solutions across various sectors.

The Business Development Director will lead financial services growth, manage senior client relationships, and execute a business strategy focused on AI solutions.

Applied AI Engineers will define and deliver AI systems for clients, shape AI visions, build products, and advance the core product using real-world data.

The Threat Researcher (AI) will conduct in-depth research on risks in cloud and AI environments, collaborating with teams to develop capabilities to mitigate these risks.

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

Lead a team of researchers to develop advanced AI systems, focusing on multimodal models and engaging user experiences. Responsibilities include mentoring, driving research direction, and collaborating with engineering to deploy innovative features.

Lead the development of AI-native features, collaborating with teams to create innovative solutions, while maintaining focus on user needs and market trends.

The Product Manager will lead the development of AI-driven learning solutions, ensuring market fit, engaging clients, and integrating educational theory with cutting-edge technology.

The AI Business Development Manager will engage with clients, identify sales opportunities, manage client relationships, and convey complex AI standards and services effectively.

As AI Manager, lead the development and optimization of AI tools, automation processes, and integrations across various departments to enhance workflows and deliver innovative solutions.

Lead the AI product strategy at Goodnotes, overseeing development across various AI initiatives and ensuring alignment with company vision.

The AI Test Architect will profile, benchmark, and optimize deep learning models and training pipelines while focusing on high-performance networking for large-scale supercomputing solutions.

The Growth Marketing Manager will lead marketing initiatives, optimize the funnel, use AI tools for performance, and collaborate across teams to drive growth for Mindvalley’s Innovation Team.

The internship involves research and development in AI and NLP, focusing on semantic systems, embedding-based retrieval, and collaboration on publishable research.