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Top AI Engineer Jobs in London
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 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.
As a Senior Software Engineer II on the Engage AI Prospecting team, you will develop frontend features and tools, collaborate cross-functionally, and implement user-centric solutions using technologies like Typescript, JavaScript, and React, while focusing on enhancing BDR efficiency through AI-driven insights.
As a Senior Backend Engineer at Mimica, you'll design and implement scalable backend systems, develop APIs, optimize performance, and take operational responsibility for your work. You'll collaborate across teams, contribute to architectural decisions, and participate in hiring and onboarding while maintaining high engineering standards.
As a Senior/Lead ML Engineer, you will own components of the Machine Learning pipeline, working with various data types, developing and deploying models, and documenting processes. You'll shape the technical direction and help mentor other engineers while participating in project management.
As a Software Engineer for AI at Brave, you will lead the integration of new language models into the Brave browser. Responsibilities include designing inference pipelines, collaborating with product teams, and optimizing machine learning models for browser-based features. You will support the development of AI-powered functionalities, ensuring they enhance user privacy and browsing experience.
As a Staff Machine Learning Engineer at Mozilla, you will lead the development of Generative AI solutions for Firefox. Your responsibilities include designing and integrating these solutions, building infrastructure for model training and inference, and ensuring the reliability of models through robust validation. You'll also collaborate with multiple teams to enhance AI-driven experiences for users.
Lead the development of scene understanding systems, manage calibration technologies for multiple cameras, translate research into engineering systems, and collaborate with technology and product teams. Mentor engineers and maintain software development best practices while staying updated on AI developments.
As a Senior AI/ML Engineer at WEX, you will design, implement, and maintain machine learning algorithms and systems, collaborate with engineering teams to integrate AI models, manage version control and implement CI/CD pipelines, and communicate complex solutions to varied stakeholders.
The Senior Python Engineer will manage technical objectives, provide leadership, and handle hands-on development related to complex data pipelines and AI/ML systems. Responsibilities include mentoring junior engineers, conducting code reviews, and making architectural decisions in collaboration with various teams.
The Senior Full Stack Engineer at Checkout.com will design, build, and deploy AI-driven solutions, collaborating across teams to enhance product features and streamline business processes. Responsibilities include developing APIs, supporting Generative AI models, creating infrastructure, and ensuring system performance and security.
As a Senior Backend and AI Engineer at Aircall, you will design and implement AI features and contribute to the development of business-critical services using a variety of back-end technologies. Your role includes mentoring teammates, engaging in requirements analysis, and optimizing product performance, all while ensuring quality and security in solutions deployed on AWS.
As a Principal Software Engineer on the AI team at Redis, you will research, design, and implement advanced algorithms for Redis vector search. This role involves optimizing algorithms, troubleshooting real-world issues, and collaborating with various teams on large-scale projects in database and high-performance distributed systems.
The AI Software Engineer will develop components for an AI software stack, port AI applications to new hardware platforms, tune AI applications, implement mathematical operators, and validate AI models. The role requires strong problem-solving abilities and collaboration skills.
As an AI Software Developer, you will collaborate with various teams to gather requirements, design, and build scalable AI-driven applications to solve everyday challenges. Your role involves analyzing complex problems, utilizing programming skills primarily in Python, and staying updated with advancements in AI and language models.
As a Presales AI/ML Engineer at Neptune, you will present product capabilities to AI research teams worldwide, lead technical discussions, conduct demos, guide integrations, and maintain relationships with technical stakeholders to enhance product adoption.
The AI Productivity Engineer role involves supporting the development and implementation of collaboration and conversational AI platforms within the company. The position is aimed at recent graduates, offering opportunities to learn about AI and software engineering, collaborate with IT teams, contribute to system integration, and improve employee experiences through AI-driven solutions.
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