Top AI Engineer Jobs in London

As a Rust Software Engineer, you'll train large language models to generate and refine code, compare snippets, and ensure quality through detailed code reviews.

As a Software Engineer in AI, you will train large language models, rank and review code snippets, and provide feedback for improvements.

Train large language models to write code by reviewing code snippets and providing feedback for improvements. Requires 3+ years of Ruby experience.

As a Software Engineer for AI Product at Figma, you'll build collaborative tools, lead AI projects, and work cross-functionally to enhance design accessibility and usability.

As a Principal Forward Deployed Engineer, you'll deploy JetBrains Central in enterprise environments, implement AI governance, mentor teams, and advise customers on AI-native development best practices.

The AI Enablement Engineer leads programs for engineering teams to integrate AI, teaches best practices, and develops scalable learning models.

As a Forward-Deployed Engineer, you'll work closely with customers to develop and implement AI-powered 3D creative tools, translating feedback into product features and integrating solutions to enhance customer workflows.

As a Senior AI Platform Engineer, you will architect an AI Engine, design a production-grade Agent Runtime, and ensure reliable AI features for our financial platform.

As a Partner AI Deployment Engineer focusing on AWS, you will lead complex enterprise engagements, drive strategic collaboration, influence customer success, and develop scalable AI solutions for the AWS ecosystem.

Develop scalable cloud infrastructure and robust software solutions for AI/ML, collaborating with engineers and scientists to enhance scientific research.

The role involves designing, implementing, and delivering AI/ML solutions, developing machine learning models for scientific tasks, and collaborating with experts for data processes.

The Senior Software Engineer will enhance the reliability of AI systems, implement monitoring frameworks, manage failover systems, and lead incident responses, focusing on serving infrastructures for large language models.

The role focuses on modernizing legacy services using AI, improving delivery speed, and building AI-powered development infrastructure. Responsibilities include coding, implementing CI/CD pipelines, and training teams on AI workflows.

As a Senior Engineer in AI Adoption, you will architect scalable systems, build CI/CD infrastructure, manage AWS workloads, and lead the development team in delivering high-quality tech solutions.

Seeking a Front-End Engineer to lead UI architectural evolution, design component libraries, ensure performance, and guide technical leadership in a rapidly growing team.

The role involves building and shipping production software, integrating AI tools, and developing internal applications to enhance operational efficiency and decision-making in a complex data-rich environment.

Develop advanced automation and visual data processing workflows using AI tools, focusing on computer vision and data streaming techniques while ensuring system reliability and scalability.

The Senior Solution Engineer at Snowflake will drive technical sales by showcasing the Observe platform's value, managing POCs, and collaborating closely with the sales team.

The Principal Solution Engineer at Snowflake is responsible for driving technical sales, conducting technical discovery, managing Proof of Concepts, supporting the sales team, and collaborating with product management.

The AI Software Engineer will develop backend services, AI components for monitoring, and maintain data pipelines while collaborating on system insights and reliability improvements. This role necessitates software development experience with AI/ML applications.

As an AI/ML Engineer, you will design and develop AI-powered applications, integrate AI features into BPM systems, and collaborate with teams to improve operational efficiency through innovative AI solutions.

As a Software Engineer at Euphoric, you'll develop AI-driven features, collaborate across the tech stack, maintain quality code, and contribute to an innovative benefits platform.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

The Applied AI Engineer will develop and deploy AI features, enhance model performance, optimize systems for reliability, and collaborate with teams to address complex problems.

As Lead Data Engineer, you'll architect data systems for an AI product, building scalable pipelines and ML infrastructure while establishing engineering standards and mentoring future team members.