Top AI Jobs in Manchester

As Lead QA AI Engineer, you will develop testing strategies for GenAI systems, create automated tests, and ensure quality metrics for AI features in production.

As an Applied AI Solution Engineer, you will design, build, and deploy AI applications, interact with clients, and solve technical problems, leading teams and ensuring solution quality.

The Senior Applied AI Solution Engineer will design, develop, and lead AI applications, mentor engineers, and communicate with clients to align AI strategies with business objectives.

As a Senior AI Product Manager at Matillion, you'll lead product initiatives for AI-driven data solutions, collaborating across teams to drive business outcomes and market success.

The Head of Technology oversees the technical direction of AI Business Solutions at Kainos, focusing on Dynamics 365, Power Platform, and AI capabilities while mentoring architects and engineers, supporting customer engagements, and ensuring alignment with Microsoft's roadmap.

As a Lead AI Engineer, you'll bridge data science and software engineering, focusing on productionizing AI solutions, optimizing performance, and ensuring the reliability of AI features within Workday products.

The Regional Sales Manager will lead a sales team to acquire new corporate clients and expand market share through strategic planning and execution.

As a Senior AI Engineer, you will develop advanced AI solutions, mentor junior staff, and ensure responsible AI practices in a collaborative environment.

As a Solution Director in Data & AI, you will lead business growth by defining strategies, engaging C-suite clients, shaping innovative solutions, and mentoring teams.

Lead the LLM team at EverAI, managing architecture, training, deployment of AI models, and ensuring user experience through effective moderation and alignment strategies.

As an AI Creative Producer, you'll develop and scale AI-generated content across various platforms, collaborate with teams, and enhance production workflows.

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

As a Software Engineer, AI, you'll train large-language models by comparing, ranking, and refining AI-coded snippets, while providing feedback for reinforcement learning.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

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.

The role involves designing safety policies for audio AI, building automated systems, and ensuring compliance with global regulations. Duties include collaborating with engineering and operations to integrate safety measures effectively.

This role involves advising tech CEOs on sales transformation, creating research content, engaging clients, and mentoring team members.

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

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

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.

As an AI Email Marketing Specialist, you will execute and automate email campaigns, manage segmentation and A/B testing, and implement AI tools for marketing efficiency.

Lead and manage the AI & Data Science function, set technical strategy, deliver AI solutions, collaborate across teams, and communicate impact to stakeholders.

The AI Sales Specialist will drive adoption of AI platforms, partner with sales teams, craft implementation proposals, and run customer workshops. They will influence AI workflows and provide feedback to engineering.

The AI Automation Engineer designs and configures applications for customers, gathering requirements and offering technical support, while ensuring effective communication and engagement with clients.