Top AI Jobs in Bristol

Applied AI Engineers will define and deliver AI systems for clients, shape AI visions, build products, and advance the core product using real-world data.

Drive the expansion of software development and AI services by managing client relationships, building sales pipelines, and negotiating contracts.

Responsible for designing, implementing, and maintaining cloud infrastructure focused on Kubernetes and containerization, while building and leading a team for release management and operations.

As an AI Automation Engineer, you will engage with customers, lead implementation projects, design solutions on the Five9 platform, and provide consultative support. Requires strong technical skills in cloud computing, telephony, and customer engagement technologies.

Seeking a Senior AI Full-Stack Software Engineer to develop AI-powered features and lead projects from concept to launch, focusing on quality through test automation.

As a Research Scientist at Graphcore, you will advance AI research by designing experiments and collaborating with engineers on AI hardware developments while addressing embodied AI challenges.

As a Senior AI Engineer at Docker, you'll enhance the Ask Gordon AI assistant, improve RAG systems, and develop evaluation frameworks while collaborating with teams to optimize AI capabilities for developers.

The Growth Marketing Manager will lead marketing initiatives, optimize the funnel, use AI tools for performance, and collaborate across teams to drive growth for Mindvalley’s Innovation Team.

The Senior .NET Developer will design architecture for high-loaded applications, develop functionalities, implement components and services, and ensure quality control.

Join Welo Data's global contributor network for flexible remote projects involving AI data annotation, evaluation, and prompt creation.

As an AI Research Engineer, you'll design and implement systems coordinating large language models with real-world tasks, creating novel prompting strategies and production-ready systems in TypeScript while collaborating with various teams.

The internship involves research and development in AI and NLP, focusing on semantic systems, embedding-based retrieval, and collaboration on publishable research.

The role involves building AI search agents, creating RAG pipelines, optimizing vector search technologies, and automating evaluation processes.

The Senior Product Manager will lead AI product strategy at CoinMarketCap, focusing on user needs and data analysis to drive product development.

As a Senior Product Designer, you will enhance user experience for AI products, collaborating with cross-functional teams and conducting user research to inform design decisions.

The Solutions Architect guides sales teams by understanding customer needs, leading technical discussions, and demonstrating product capabilities, focusing on security and observability solutions.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

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.

We seek an AI Engineer to build AI-powered applications, focusing on backend development, AI/ML frameworks, prompt engineering, and cloud services.

The Head of AI will lead applied-AI projects, design large-scale systems, prototype workflows, and manage a team of AI engineers, ensuring integration with cybersecurity processes.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

The role involves engineering, testing, and the development of advanced frontend components for an AI-driven cybersecurity product, integrating AI features and ensuring best practices are followed.

The Fullstack Engineer will focus on product software engineering, agents framework engineering, and R&D in AI and cybersecurity. Responsibilities include hands-on engineering, testing, and integrating AI Agents into existing systems.

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.

The role involves developing an AI compiler for NextSilicon's platforms, working hands-on in a collaborative team environment to achieve high-performance computing results.