Top AI Jobs in Manchester

The AI Solution Architect at Genesys connects AI product management with sales teams, drives growth by engaging in sales cycles, demos AI capabilities, and influences C-level decision-makers with technical leadership and customer-focused solutions.

The role involves leveraging extensive technology expertise in AI and Agentic AI to convert business needs into technology solutions, oversee architectural development, and advise on high-stakes initiatives. Responsibilities include managing the capability backlog and ensuring safe adoption of AI technologies.

The Data & AI Portfolio Lead drives the development and integration of Fujitsu's Data & AI portfolio in the UK, aligning with strategic objectives and managing offerings throughout their lifecycle while providing leadership to product managers.

The Product Manager will manage and enhance the end-to-end experience for managers, focusing on orchestration, automation, and AI-assisted coaching, while ensuring effective communication between leadership and managers.

The role involves building AI-driven tools for productivity and process automation, collaborating with teams to integrate solutions into business operations.

The Lead AI Engineer will lead the AI Ops team, developing automations and AI agents to improve internal operations and customer service in a fintech setting, while managing engineers and prioritizing tasks effectively.

The role involves leading strategy delivery for Agentic AI domains, developing use cases, value cases, and actionable plans, while engaging with business and technology teams to track progress and manage risks.

Lead AI-focused engineering management, improving developer productivity through AI-integrated workflows, modernizing CI/CD pipelines, and ensuring alignment across teams.

The Principal AI Platform Engineer leads AI architecture design and implementation, guiding teams to deliver secure AI solutions and mentoring engineers.

The role involves embedding in enterprise accounts to solve procurement problems using AI, managing customer relationships, and developing AI agent solutions.

The AI Deployment Manager leads the implementation of AI solutions for clients, ensuring they achieve tangible business results while managing complex deployments and collaborating with diverse teams.

The AI Deployment Engineer manages the technical integration of CrewAI's platform with customers, ensuring successful deployment and customer relationships post-sale while addressing technical challenges and optimization needs.

Create high-performing video ads for platforms like Meta and AppLovin. Use design tools to produce creative and functional outputs while maintaining efficiency.

The role involves creating high-output performance video ads using generative video tools for platforms like Meta and AppLovin, emphasizing design principles and effective production workflows.

Train large language models to improve code quality by ranking, repairing, and refactoring code snippets while providing detailed explanations for feedback.

The Software Engineer will train large language models to generate and improve code through ranking and editing. Responsibilities include repairing AI-generated code and providing detailed feedback for model refinement.

The Software Engineer, AI will train large language models by ranking and repairing AI-generated code while providing feedback into the RLHF pipeline.

This role involves training large language models to write code, ranking code snippets, and ensuring AI-generated code is correct and efficient. Strong communication skills are essential for explaining code improvements.

As a Software Engineer, you will train large language models by reviewing code snippets, injecting feedback into the RLHF pipeline, and improving AI-generated code.

As a Senior AI Engineer, you will architect workflows for AI agents, develop ML/NLP products, and mentor engineers in crafting intelligent recruiting systems.

The role involves developing AI/ML applications using Python, implementing REST APIs, collaborating with data scientists, and maintaining software quality through testing and CI/CD processes.

The role involves providing technical leadership for AI and automation, designing scalable solutions, and ensuring project delivery aligns with business goals and enterprise standards.

As a Senior Software Engineer, you will design and build applications using Python and AI, optimize performance, collaborate with teams, and support client requirements in an agile environment.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

The AI Developer will design, implement, and deploy AI agents and workflows, integrating advanced models and ensuring reliable performance in production environments.