Top AI Jobs in Bristol

As an Intermediate Machine Learning Engineer, you will develop evaluation techniques, manage large language models, and collaborate on AI feature implementations, ensuring product quality and performance.

Design and implement technical evaluators for LLM assessment, optimize dataset management, and collaboratively build scalable evaluation frameworks to ensure reliability of AI models.

Lead GitLab's Custom Models team, manage high-performing engineers, and develop AI solutions tailored to customer needs while promoting innovation and collaboration.

Develop and improve the GitLab product with focus on AI capabilities and integration of technologies while collaborating in a remote team environment.

This role involves training large-language models by evaluating, repairing, and refactoring AI-generated code, providing detailed feedback on coding quality.

Developers will help train LLMs by evaluating and improving code, providing feedback for reinforcement learning, and ensuring code correctness and efficiency.

The role involves training large-language models by evaluating and improving code, requiring strong software engineering, detailed code review skills, and effective communication.

As an AI-First Developer at Smartcat, you will deliver production-quality features using AI across all development stages, optimizing workflows and mentoring others to adopt AI-driven engineering practices.

The role involves training large language models, reviewing and improving AI-generated code, and providing feedback for model training.

The role involves training large-language models by comparing code snippets, refactoring AI-generated code, and injecting feedback into the RLHF pipeline.

Join PQShield's team to develop RISC-V MCU subsystems with advanced post-quantum cryptography, collaborating on innovative semiconductor solutions.

As an Intermediate Frontend Engineer, you will develop UI for GitLab's AI discovery platform, collaborate with teams, and maintain code quality.

The role involves creating training data for AI models, evaluating AI-generated code, and developing React components. Candidates must have 3+ years experience in JavaScript and React.

The Software Engineer will train large-language models by evaluating and improving AI-generated code, focusing on code quality and correctness.

As an AI Applied Engineer at Redis, you'll build and maintain integrations within the AI ecosystem, drive customer implementations, and collaborate cross-functionally, leveraging generative AI for business value.

Lead the AI-enabled engineering initiative by designing multi-agent systems, integrating AI tools, and enhancing collaborative software development processes.

As a Senior Full-stack Engineer, you'll build AI coding agents and contribute to core functionalities while mastering multiple technologies, primarily TypeScript and Java/Kotlin, fostering a collaborative and innovative environment.

Join Redis as a Principal Software Engineer to design and implement advanced algorithms for vector search, optimizing performance at scale.

As a Sr. Applied AI Engineer at Zapier, you'll build AI tools for scalable applications, working with LLMs, cloud infrastructures, and collaborating across teams to deliver quality experiences.

As a software engineer, you will develop and manage components of data management software, focusing on AI infrastructure at scale. Responsibilities include overseeing product lifecycle and learning new technologies.

We are looking for a Fullstack Developer with experience in web projects, LLMs, and AI integration. The role involves collaboration on innovative projects, creativity, and adaptability in problem-solving.

As an AI Automation Engineer, you'll build tools to streamline workflows by collaborating with various business units, using AI and automation technologies, while operating independently to deploy solutions directly to users.

Create engaging marketing videos for AI productivity software, leveraging existing materials and current social media trends to drive brand engagement.

This role requires creating instructional technical content, including detailed documentation and high-quality screencasts, while collaborating with development teams to ensure accuracy and engagement.

As a Senior Cloud Architect, you'll architect and deploy cloud-based AI/ML solutions, optimize complex systems, and mentor team members, leveraging your AWS expertise.