Top AI Jobs in Manchester

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.

Design, build, and scale intelligent systems using AI/ML across various domains including LLMs, Computer Vision and Speech AI, integrating these into business workflows.

Lead the AI engineering team to develop and implement AI solutions, mentoring staff, collaborating with business units, and promoting AI adoption.

The AI Support Specialist manages AI system performance, diagnosing issues and optimizing platform integrations to enhance customer experience across partner environments.

Conduct research in natural language processing while developing advanced semantic systems. Collaborate on projects optimized for AI and embedding mechanisms.

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.

The AI Solutions Director at Nearform leads AI solution development, strategic partnerships, and pre-sales engagements, leveraging deep AI expertise to drive measurable business impact for enterprise clients.

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

This role involves architecting and building AI agent systems, developing full-stack features, and shaping the technical direction of an early-stage startup's AI platform.

The Senior Knowledge Strategist will architect and implement an Enterprise Knowledge Management system to streamline information sharing and operational efficiency across IOG, driving innovation and supporting AI initiatives.

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.

Lead AI initiatives for Data Intelligence product, managing the product lifecycle and collaborating across teams to deliver AI solutions.

The Tech Lead will architect and implement AI systems, oversee model integration and ensure compliance with security standards while collaborating with teams on scalable solutions.