Top AI Jobs in Manchester

Lead the design and implementation of scalable solutions for Customer Experience, focusing on CRM enhancements and aligning IT and business strategies.

The Managing Consultant will deliver Human Factors projects, ensuring effective collaboration, technical leadership, and management of safety improvement programs, while mentoring juniors and supporting business development.

The AI Security Specialist will secure AI systems, assess threats, collaborate with teams on security integration, and maintain compliance with standards.

Responsible for managing remarketing propositions and performance, leveraging data analytics to optimize asset value through market insights and AI.

As the Head of Marketplaces, lead and grow the marketplace division, shape strategies, manage teams and ensure client satisfaction for revenue growth.

Samsara seeks a Staff Software Engineer to lead technical design and architecture on the Fleet Safety team, improving driver safety through software for enterprise fleets. Responsibilities include developing applications, designing systems for event tracking, and addressing production issues.

The Project Manager will oversee large software implementation projects, ensuring they meet quality, time, and cost requirements while managing client relationship and resources.

Design and implement large-scale AI/ML systems using LLMs and RAG. Develop data pipelines, optimize models, and collaborate with teams on actionable intelligence solutions.

Define the strategic vision for the Video-Based Safety platform, integrating AI and Computer Vision to enhance safety and efficiency in physical operations. Lead cross-functional teams and mentor product managers while driving innovation in a rapidly growing company.

As Senior Product Manager for Video-based Safety, you will define, own, and execute the product strategy involving AI/ML models to enhance safety outcomes, collaborating with engineering and design teams.

Join a pioneering team in post-quantum cryptography, working on RISC-V based security solutions. Collaborate on innovative technologies in a flexible environment.

Manage and grow AI influencer brands by refining identities, optimizing content strategies, and driving performance across social platforms, focusing on audience connection and engagement.

The Director of AI will drive AI strategy across the company, manage R&D efforts, lead adoption of AI workflows, and establish success metrics.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

As an AI Innovation Product Manager, you'll lead the development and implementation of innovative digital products using customer insights and agile methodologies, ensuring alignment with business strategy.

The AI Assurance Lead ensures AI and machine learning systems are safe, reliable, and compliant with regulations, oversees risk management, and engages stakeholders.

As a Product Manager, you'll connect user needs with technology and business goals, define product roadmaps, and lead AI initiatives.

The Product Manager will shape the AI product roadmap, collaborate on machine learning projects, prioritize initiatives, and communicate effectively with stakeholders.

Lead AI-enabled content production, manage workflows, collaborate with marketing teams, and ensure brand governance while optimizing performance and developing a multidisciplinary team.

The Channel Sales Manager will focus on driving revenue growth through strategic partnerships, managing partner relationships, and closing complex identity deals, while exceeding revenue targets.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

The Lead AI Creator will develop Kainos' AI narrative, produce diverse content rapidly, and collaborate to amplify brand presence while measuring effectiveness.

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

Design and deliver tailored AI-powered customer experience solutions, managing customer engagements and hands-on technical implementation.

As a Senior AI Engineer, you will design and implement production-grade AI systems, collaborating cross-functionally to deliver impactful ML solutions. Focused on deep technical growth, you will lead from concept to deployment in a remote-first environment.