Top AI Jobs in Bristol

As a Data & AI Consultant, you will strategize and implement Data & AI solutions to enhance business value, advising clients on governance and capabilities.

The Graduate Machine Learning Engineer will develop and optimize AI models, collaborate with teams, and conduct experiments to advance AI technology.

As a Sr Director Analyst, you will guide clients in AI strategy, develop research, and support sales while driving AI business model innovation and operational improvements.

As a Gartner Analyst, you'll advise on AI software innovations, conduct research, support sales, and deliver presentations to clients. You'll lead teams building AI-enabled tools and share actionable insights through various communication channels.

As a Lead AI Engineer, you'll bridge data science and software engineering, focusing on productionizing AI solutions, optimizing performance, and ensuring the reliability of AI features within Workday products.

Lead the AI product strategy at Goodnotes, overseeing development across various AI initiatives and ensuring alignment with company vision.

As a Senior Data Engineer, you'll design scalable data pipelines, collaborate with engineers and product teams, and evolve the architecture to support growth in users and data.

The Senior Solutions Architect & Customer Advisor will lead technical engagements, design cloud architectures, and provide strategic consulting to enterprise clients, particularly in Hybrid Cloud and AI.

The role involves developing AI-assisted geometry processing methods, geometric representations, and integration with ML and graphics workflows, while collaborating with teams and contributing to research.

The AI Video Ads Editor will create high-impact, AI-generated video ads for D2C brands, using AI tools and collaborating with teams to optimize content for conversions while monitoring performance metrics.

As a Staff Software Engineer focused on AI, you'll integrate AI features into the logistics platform, utilizing Elixir, TypeScript, and various ML tools for real-time data processing and predictive analytics. Responsibilities include API design, building fault-tolerant systems, collaborating with data scientists, and mentoring engineers.

The role involves managing the sales process for AI solutions, targeting opportunities, engaging decision-makers, and ensuring successful adoption post-sale.

As a Senior AI Engineer, you will architect, develop, and scale AI-powered services for our SaaS platform, collaborating with teams and ensuring quality and reliability of AI features.

Lead revenue growth in the Media & Telco vertical by securing new enterprise clients and expanding existing accounts through AI and agentic solutions. Develop sales strategies and collaborate across functions to optimize performance and influence product development.

The Senior AI Engineer will lead AI strategy, develop Large Language Models and data pipelines, and integrate AI into products while fostering innovation.

The AI Presales Specialist will lead technical sales efforts, demonstrate AI capabilities, architect solutions, and engage with customers to drive AI sales opportunities.

The AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.

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.

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

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.