Top AI Jobs in Bristol

Responsible for training large-language models by reviewing, ranking, and improving AI-generated code. Requires strong software engineering skills.

Train large-language models to improve code quality by comparing snippets, providing feedback, and refining AI-generated code. Requires strong communication skills and attention to detail.

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.

The Threat Researcher (AI) will conduct in-depth research on risks in cloud and AI environments, collaborating with teams to develop capabilities to mitigate these risks.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

Lead a team of researchers to develop advanced AI systems, focusing on multimodal models and engaging user experiences. Responsibilities include mentoring, driving research direction, and collaborating with engineering to deploy innovative features.

Lead the development of AI-native features, collaborating with teams to create innovative solutions, while maintaining focus on user needs and market trends.

The Product Manager will lead the development of AI-driven learning solutions, ensuring market fit, engaging clients, and integrating educational theory with cutting-edge technology.

The AI Business Development Manager will engage with clients, identify sales opportunities, manage client relationships, and convey complex AI standards and services effectively.

The AI Test Architect will profile, benchmark, and optimize deep learning models and training pipelines while focusing on high-performance networking for large-scale supercomputing solutions.

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

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.

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 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.

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

The n8n Automation Specialist will identify inefficiencies, redesign processes, and build AI-powered systems across departments at Foxelli. Responsibilities include auditing workflows, building custom AI agents, collaborating with teams, and innovating automation solutions.

The Head of Data and AI will build and execute AI strategy, integrating innovative tools to automate and enhance organizational workflows. Responsibilities include strategic planning, deploying AI solutions, ensuring ethical practices, and developing proprietary tools for client engagement.

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

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 an AI Engineer, you'll design AI tools for authors, enhance internal workflows, and build tools for AI development, collaborating with teams to identify AI opportunities.

The Head of Technology oversees the technical direction of AI Business Solutions at Kainos, focusing on Dynamics 365, Power Platform, and AI capabilities while mentoring architects and engineers, supporting customer engagements, and ensuring alignment with Microsoft's roadmap.

As a Senior AI Product Manager at Matillion, you'll lead product initiatives for AI-driven data solutions, collaborating across teams to drive business outcomes and market success.