Top AI Jobs in Manchester

As an AI Product Manager, you will lead the development of AI-enabled Clinical Data products, focusing on multi-modal clinical and genomic data.

The AI Lead Product Manager will define and own the product strategy for AI-powered health data, lead product teams, engage with stakeholders, and ensure compliance with regulations.

As the Technical AI Lead, you will oversee a global team, ensuring quality in AI products, defining best practices, and collaborating with product teams to deliver AI-driven solutions in healthcare.

As an AI Product Manager, you will lead the application of AI in Health Information Systems, manage product portfolios, and ensure compliance with healthcare standards while delivering technology solutions that enhance patient care.

The AI Programme Manager will oversee AI initiatives across health systems, coordinating delivery, managing stakeholders, and ensuring alignment with strategic goals, while mitigating risks and driving timely execution.

The Solution Architect, Urban AI will mentor partners and clients, develop AI strategies, support deployments, and create resources connecting business and community needs.

The role requires architecting and delivering multi-agent AI systems for clients, integrating them with enterprise applications, mentoring engineers, and engaging with stakeholders.

The Principal Presales Engineer will serve as the bridge between enterprise accounts and product teams, designing complex solutions and influencing product strategy through stakeholder collaboration.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

As a Curriculum Manager, you will manage content development for the data science and engineering curriculum, collaborating with instructors and teams to enhance learning experiences.

Manage curriculum development for data science and engineering, collaborate with instructors, create content, and drive improvements based on learner feedback.

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 Lead Engineer (AI Native) will work closely with clients, develop AI solutions, and enhance software delivery practices while mentoring teams.

The Senior AI Compute Infrastructure Engineer will manage and optimize GPU and accelerator clusters for AI workloads, collaborate with teams, and ensure reliable performance and cost efficiency.

The AI Specialist will drive AI/ML sales, design solutions, provide technical guidance, and collaborate across teams to address customer needs effectively.

As a Generative AI Analyst, you'll analyze content infringements, develop adversarial strategies for AI models, manage datasets, and collaborate across teams to ensure AI safety.

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.

As a Senior AI Engineer, you will develop AI-powered features, integrating LLM APIs to enhance user workflows while collaborating with teams to ensure reliability and scalability.

As an AI Software Engineer, you will develop and maintain AI infrastructure, work with Python and MySQL, and support front-end teams using React while optimizing AI workflows.

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

The Senior Marketing Operations Engineer will architect and operate AI-driven marketing workflows, manage marketing technology stacks, and optimize campaign efficiency using advanced AI tools and automation frameworks.

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 PhD Research Intern will develop AI and computer vision algorithms for robotic systems, enhance perception, and transition research to production. Responsibilities include collaboration, documentation, and evaluation of research.

The Senior Director leads AI transformation in procurement, creating research content, offering actionable insights, and collaborating to drive strategy and change management.

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.