Top AI Jobs in Bristol

The Senior Cloud Infrastructure Engineer will design and manage cloud infrastructure, ensuring security, reliability, and scalability while collaborating with engineering teams.

The Commercial Counsel will draft and negotiate agreements, advise on legal compliance in AI, and collaborate with global teams to support growth.

As a Machine Learning Engineer, you will integrate ML features into products, develop and deploy models, and collaborate with various teams on sports analytics solutions.

Join a pioneering team in post-quantum cryptography, working on RISC-V based security solutions. Collaborate on innovative technologies in a flexible environment.

The role involves designing and implementing machine learning solutions, managing projects from idea to deployment, and optimizing models using AWS and Docker.

The role involves designing and developing custom integrations in Microsoft Dynamics 365 Business Central, focusing on AI enhancements, collaborating with teams, and maintaining quality standards.

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.

This role involves advising tech CEOs on sales transformation, creating research content, engaging clients, and mentoring team members.

The Principal Technical Architect will innovate solutions for clients using D360, collaborating with various teams to drive product adoption and development while providing technical expertise in data and AI.

Lead AI-enabled engineering initiative, designing multi-agent systems for software development, integrating AI tools, and collaborating across teams to innovate workflows.

The Lead AI Engineer will develop and optimize AI workflows using large language models, collaborate on project objectives, and ensure seamless integration of AI technologies across the project lifecycle.

As a Business Change Manager, you will drive AI adoption and transformation initiatives within business units, coaching users and ensuring operational efficiencies.

The role involves bridging AI research with design by evaluating models, prototyping solutions, curating datasets, and collaborating across teams to enhance design workflows.

The Senior Solutions Architect will work on deploying and optimizing AI workloads on GPU clusters, troubleshoot performance issues, and assist customers with advanced AI training solutions.

The Corporate Finance AI Expert advises finance leaders on AI strategies, governance, and implementation while producing insights on finance processes and AI technologies.

Lead technical programs with Cloud Service Providers, integrating tools and processes for AI infrastructure deployment, managing teams, and ensuring project timelines.

The Director Analyst will create valuable research for clients in cybersecurity, analyze market trends, and support sales efforts with insights and presentations.

The role oversees NVIDIA's developer relations focusing on AI and deep learning, fostering engineering partnerships, and strategic community building.

The AI Multimedia Designer will create AI-generated video ads and UGC-style visuals for paid channels, collaborating with strategists and buyers to enhance content performance and drive conversions.

As a Senior AI Engineer at DATAPAO, you will lead AI projects, provide ML consultancy, and act as a client interface, ensuring high-quality delivery while mentoring teams.

The role involves reliability and performance testing in AI/ML, requiring candidates to create ML workloads, build CI/CD, and design tests while collaborating with software teams.

As a Solutions Architect, you will drive innovation for NVIDIA customers by providing expertise in Generative AI post-training, especially utilizing LLMs and data processing techniques. Responsibilities include building proof-of-concepts, collaborating with various teams to integrate NVIDIA technology, and guiding customers on tools and methodologies for model alignment and training.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

Lead design, optimization, and deployment of automation efforts using large-scale ML/AI systems, ensuring scalable and efficient infrastructure.

The Senior Software Engineer will build AI-powered backend systems, create scalable data pipelines, and mentor team members in a new AI Tools and Context team. Responsibilities include developing reusable infrastructure and ensuring code quality in a collaborative environment.