Top AI Jobs in Manchester

The GEN AI Architect will define and govern the bank's data architecture to support business strategy, ensuring data accuracy and accessibility for stakeholders.

Lead design and delivery of Gen-AI solutions, mentor teams, and drive initiatives across EMEA while engaging with stakeholders.

The AI & Automation Lead will oversee a team in delivering automation and AI solutions, providing technical guidance, ensuring quality, and engaging clients in various industries to support their transformation journeys.

As a Senior Site Reliability Engineer, you will enhance the reliability and performance of our inference platform, leveraging Kubernetes and Terraform while ensuring smooth scalability of systems under load.

This role involves managing revenue operations, building analytical tools, redesigning processes, and using AI to optimize workflows while collaborating with cross-functional teams.

Lead the Java Full Stack technology strategy, implementing AI-driven development practices, overseeing complex platforms, and driving modernization initiatives in cloud and microservices.

Lead the operation of AI Governance processes, optimize decision-making, and advise senior leadership on AI risks and strategies.

As a Senior Product Manager, you will lead AI-driven strategies, oversee digital products, manage stakeholder relations, and prioritize customer needs in a fast-paced environment.

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.

Design, develop, and deploy intelligent AI agents, optimize large language models, enable collaboration in customer interactions, and maintain backend systems.

As a Senior Full Stack Developer, you'll design and maintain web applications, optimize backend data services, and implement AI-driven solutions for network operations using Python and React.

The role involves embedding in various parts of the business to identify and solve AI problems, producing working solutions through short sprints, and evaluating their effectiveness while facilitating adoption.

Lead Ofcom's AI Enablement Programme by managing projects, delivering AI strategies, establishing governance, and building organizational AI capabilities.

The Principal Engineer will define architecture and strategy for Redis capabilities in AI, design scalable systems for vector search, lead complex initiatives, and mentor engineers.

As an AI Engineer, you will build LLM systems, maintain AI solutions, collaborate across teams, and refine infrastructure integration while ensuring system uptime and accuracy.

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

Design advanced physics problems for AI training and evaluation, write verified solutions, and use simulations to develop rigorous problems testing deep reasoning.

Design advanced physics problems for AI training, ensuring problems are challenging, verifiable, and documented with detailed solutions. Use Python for simulations and workflows.

As an AI Product Manager at n8n, you'll develop AI-driven product experiences, coordinate with various teams, and innovate through user-centric design, focusing on AI trust and building.

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

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.

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.

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