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Top AI Engineer Jobs in London
As a Principal AI Engineer at Planday, you'll lead the design and development of AI-powered user experiences, create scalable software, automate processes, and mentor teams. You will work closely with engineering teams and the C-suite, advocating for AI solutions and improving work/life balance for users.
As an AI Systems Engineer, you will design, develop, and deploy innovative AI solutions for internal operations. Your responsibilities include maintaining AI systems, optimizing infrastructure, ensuring data integration, and collaborating with stakeholders to create effective AI solutions.
The Solution Architect, AI / Cloudflare Developer Platform will lead sales efforts by advising on technical details and business value of the Cloudflare platform. Responsibilities include partnering with sales to drive revenue, developing proof of concepts, collaborating with cross-functional teams, and acting as a technical advisor to clients and teams on product capabilities.
As a Senior Software Engineer at Sanity.io, you will work full-stack, utilizing React for front-end and Node.js for back-end development. Your role involves innovating with large language models (LLMs) for content management, creating efficient collaborative tools, mastering prompt engineering, and collaborating with design teams to enhance user experiences.
As a Senior Software Engineer at Sanity.io, you will work full-stack with a focus on AI-assisted collaborative tools, utilizing technologies like React and Node.js. Your role includes innovating ways to use large language models for content creation, developing UI designs in collaboration with design teams, and implementing robust systems for AI integration.
The Senior AI Engineer/Scientist will develop AI systems for image intelligence at Danaher, focusing on enhancing imaging devices in Life Sciences and Diagnostics. Responsibilities include collaborating on product improvements, designing AI architectures, implementing complex AI projects, and driving innovation in computer vision technologies.
The Senior Gen AI Developer will design and build reliable software solutions, focusing on Generative AI projects. Responsibilities include developing AI/ML models, ensuring scalability and compliance with best practices, and collaborating with cross-functional teams to integrate solutions effectively.
The AI Engineer will develop and implement cutting-edge generative AI models and algorithms, collaborate with software engineers, data scientists, and researchers, evaluate AI model performance, and ensure the successful deployment of AI applications, focusing on scalability and efficiency.
Featured Jobs
The Principal AI Engineer will work in the Venture Studio team, focusing on research, prototype development, and creating early stage solutions in the web3 and AI space. Responsibilities include architecting prototypes, collaborating with the VP of Products, and researching new technologies to enhance user adoption and experience.
The Senior Staff, Forward Deployed AI Engineer will work with Enterprise clients to drive application modernization initiatives using MongoDB. Responsibilities include evaluating and implementing tooling for modernization projects, collaborating with product and engineering teams, and contributing to customer success by improving application development processes.
Join BVNK as a Platform AI Engineer to develop seamless cross-border payment solutions integrating AI and ML. Collaborate with product teams to deliver innovative features while managing ML model lifecycles and advocating for simple, effective approaches. You'll enhance product capabilities through AI agents and contribute to a robust engineering culture.
As a Senior Backend Engineer, you will develop and maintain an AI platform, focusing on scalable AI integrations and APIs. Collaborating with cross-functional teams, your role will involve enhancing development capabilities and driving innovation by implementing AI technologies and improving existing processes.
As a Senior AI Software Engineer at Contentful, you'll develop scalable AI integrations and APIs, support feature teams, and enhance the AI platform capabilities. You'll collaborate with various teams to implement AI technologies, optimize processes, and ensure proper governance for AI systems, driving efficiency and innovation within the organization.
As a FullStack Engineer focused on AI platforms, you will develop scalable AI integrations and APIs, collaborate with feature teams to innovate AI solutions, and maintain high-performance applications. You will also implement AI technologies, optimize processes, and participate in continuous improvement within the AI development and deployment lifecycle.
The Senior Data and AI Engineer will implement AI strategies, develop Large Language Models, manage data pipelines, deploy AI solutions on cloud infrastructure, and work with cross-functional teams to integrate AI capabilities while ensuring data integrity and quality.
As a Senior Associate Machine Learning Engineer at JPMorgan, you will lead AI solutions in financial services, develop and deploy machine learning models, collaborate with engineers, and enhance data science capabilities. You will apply NLP and Computer Vision techniques while communicating results to diverse audiences.
Lead the design and implementation of machine learning solutions utilizing AI techniques to optimize business decisions and automate processes. Collaborate with various teams to ensure the deployment and maintenance of ML services, while adhering to industry regulations and effectively communicating results to stakeholders.
The Senior AI Engineer will design, develop, and deploy AI models for conversational applications, primarily focusing on Large Language Models. Responsibilities include collaborating with teams, integrating APIs, evaluating AI technologies, and mentoring junior engineers to enhance product functionalities.
The Software Engineer will develop and maintain AWS infrastructure for AI-driven applications, integrate LLMs into conversational AI systems, collaborate on ML model deployment, and ensure the production of scalable code to facilitate financial data access and processing.
The Senior Forward Deployed AI Engineer is responsible for leading application modernization projects, utilizing MongoDB and other technologies. The role includes evaluating and applying tools, collaborating with teams, contributing to product development, and driving customer success in transformations using Generative AI.
In this role, you will design and implement advanced algorithms for Redis vector search, optimize algorithms for efficiency, and tackle complex issues for large-scale systems. Collaboration across teams and a strong background in distributed systems and AI are essential.
The job involves owning and building large areas within AI data management software, participating in the entire product lifecycle, and quickly learning new technologies as needed. You’ll work on developing tools for managing unstructured data at scale, contributing to open-source solutions, and collaborating with a remote team.
As a Senior AI Product Engineer, you will develop and optimize Large Language Models for AI products, collaborating with cross-functional teams to drive initiatives in decentralized and centralized finance. Responsibilities include designing LLM-based systems, prompt engineering, and integrating models into Agentic platforms.
The AI Inference Engineer will develop APIs for AI inference, benchmark and optimize the inference stack, improve system reliability, and explore LLM inference optimizations. They will engage in large-scale deployment of machine learning models for real-time usage.
The Senior AI Ops and ML Engineer will enhance GSK's network infrastructure through AI-driven solutions for anomaly detection, predictive analytics, and automated remediation. Responsibilities include automating network tasks, developing CI/CD pipelines, collaborating on observability tools, conducting root cause analysis, and mentoring junior engineers.
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