Top AI Jobs in Bristol

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

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 definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

The AI Engineer at WRITER develops robust AI models and collaborates with teams to integrate ML capabilities into products, ensuring performance and scalability.

The Customer Architect will support customers by creating customized solutions, implementing APIs, and ensuring technical feasibility while enhancing customer success.

As a Staff Agentic AI Engineer, you'll develop advanced AI agents for cybersecurity, lead engineering teams, and enhance AI capabilities across the organization.

The Tech Lead will define the technical strategy for an AI document processing platform, lead engineering teams, ensure delivery quality, and guide architectural decisions.

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

You will develop AI-powered features for Mural, collaborating with product and design teams to enhance user experiences and drive AI innovation.

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.

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

The role involves fine-tuning models, designing architectures, building evaluation pipelines, and collaborating on AI product features for a global audience.

As a Founding AI Engineer, you will develop full-stack features using ML models, integrating them into scalable systems while shaping a new AI product from scratch.

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.

The Lead AI Engineer will design, develop, and lead the implementation of AI systems, mentor engineers, and oversee technical execution in a remote-first environment.

As a Senior AI/ML Software Engineer at BJAK, you will help design and implement machine learning systems that enhance user experience and improve financial services. Your responsibilities include defining ML goals, managing the ML lifecycle, and integrating outputs into products.

The Pre-Sales Architect will lead solution demos, architect technical solutions, drive customer success, and support sales execution in AI Business Solutions.

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 the go-to-market strategy for AI & Platform products at Deel, including market analysis, messaging, product launches, and sales enablement. Collaborate across teams to ensure product success and drive growth.

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.

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 AI Mentor will guide learners in the L5 AI Leader Apprenticeship, supporting their progress, project implementation, and assessments while fostering innovation and productivity in their organizations.

As an AI/ML Specialist Solutions Architect, you will design scalable AI solutions, manage AI deployments, and collaborate with clients to enhance customer satisfaction.

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