149 AI Engineer jobs in United Kingdom available for remote work from home. Apply for positions such as Senior Backend Engineer, AI Engineering: Chat , Senior / Principal Applied AI Engineer (UK / Europe, Remote), Founding AI Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Design and build agentic AI flows and backend features for GitLab Duo Chat using Python and Ruby on Rails. Integrate generative AI models and orchestrate multi-agent workflows to improve the DevSecOps platform's natural-language interface.
Build and deploy production-grade AI agents and agentic workflows to automate internal engineering and support processes. Develop bespoke AI capabilities integrated directly into the trading terminal and developer experience.
Own and scale the agent layer and matching engine for an AI-first fundraising platform. This includes building conversational agents for investor outreach and managing the backend data pipelines.
Own the conversation layer of an AI fundraising platform, managing agents that handle replies, booking, and relationship nurture. Build broader applied-AI features including classification, extraction, and the evaluation framework to ensure quality.
Deploy and maintain AI tools, agents, and hosting environments while managing broader cloud infrastructure on AWS and GCP. The role involves a split between AI building and traditional IT infrastructure support, including CI/CD pipeline maintenance and stakeholder management.
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Build and evolve a core AI tutoring system focusing on prompt architectures, agentic workflows, and real-time adaptive behaviors. Collaborate cross-functionally to translate pedagogical goals into scalable technical solutions and productionize novel model interactions.
Design and develop AI-powered features and agentic workflows to help users analyze large datasets and enterprise data. Take ownership of the full development lifecycle from rapid prototyping and experimentation to shipping scalable production features.
Design and implement scalable AI-centric software systems and agentic AI capabilities for offensive security and vulnerability identification. Lead technical discussions and mentor junior engineers while driving product features from ideation to production.
Design and build a high-availability trigger system that links GitLab and third-party events to AI-powered Duo Flows. Collaborate with cross-functional teams to architect scalable infrastructure and participate in on-call rotations for production support.
Lead the development of a greenfield back office platform and define the practical application of AI across the business. You will mentor a small engineering team while remaining hands-on in designing and deploying scalable backend systems.
Develop and productionize cutting-edge GenAI solutions to solve customer problems and serve as a trusted technical advisor. Collaborate cross-functionally with product and engineering teams to influence the product roadmap and present at industry conferences.
Own the platform-wide data and AI infrastructure, including data modeling, storage, and governance. Design and build the shared data layer that powers analytics, search, recommendations, and agentic AI products.
The role involves embedding with client teams to diagnose operational friction and redesign workflows for AI-powered business transformation. You will build functional AI prototypes and establish operating models to drive technology adoption and measurable ROI.
Develop, fine-tune, and deploy production-scale LLMs and NLP pipelines for financial services. Lead data strategy, implement MLOps best practices, and mentor engineers to build intelligent agentic systems.
Architect and deliver advanced AI solutions using generative and agentic AI while driving the adoption of AIOps and cloud-native architectures. Provide technical leadership and mentorship to a small team, managing performance and career development.
Lead the end-to-end architecture and execution of data platforms and LLM-powered products for Fortune 500 customers. Drive technical standards, mentor senior engineers, and collaborate cross-functionally to deliver scalable AI-driven marketing technologies.
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Architect and deliver advanced AI solutions using generative and agentic AI while driving the adoption of AIOps and cloud-native architectures. Provide technical leadership and mentorship to a small team, managing performance and career development.
Lead the delivery of advanced AI solutions using generative and agentic AI while driving the adoption of AIOps and cloud-native architectures. Manage and coach a technical team while engaging with senior stakeholders to define strategic architectural principles.
Develop production-ready coding agents and agentic workflows by integrating internal and open-weight models into JetBrains products. Design the agent loop, create evaluation suites, and establish feedback loops to improve model behavior based on real-world usage.
Design and implement production-grade agentic AI workflows to automate medical imaging clinical trials and data quality. Provide technical leadership and mentorship to engineers while collaborating with cross-functional teams to align AI capabilities with business objectives.
Design and operationalize agentic AI capabilities to automate medical imaging clinical trial workflows and data quality checks. Transform the company's Product Development Life Cycle into an AI-driven process from discovery to production operations.
Architect and build agentic workflows and autonomous AI systems to create intelligent conversational recruiting experiences. Lead the end-to-end development of ML/NLP products from ideation through production and deployment.
Design and build integrations between AI platforms and corporate business systems like Salesforce and Snowflake. Manage GCP resources and partner with Enterprise Security to ensure secure AI-assisted development.
Design and build production-quality GenAI applications, including RAG bots and multi-agent systems, for diverse industry clients. Advise clients on AI strategy and mentor junior engineers to enhance internal AI practices.
Design and build the high-performance infrastructure layer powering AI agent systems in production using Rust. Focus on optimizing model inference, orchestration, and execution layers to ensure reliability and scalability for millions of users.
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Review and refine AI-generated outputs related to platform engineering and system architecture to ensure technical accuracy. Draft realistic engineering scenarios and identify reasoning gaps to improve AI-powered engineering systems.
Review and refine AI-generated software engineering content to ensure technical accuracy and real-world relevance. Draft realistic engineering scenarios and identify reasoning gaps in AI outputs to improve model performance.
Deploy and operationalize AI-powered workflow solutions and agentic AI integrations within client ServiceNow environments. Contribute to the development of NewRocket's AI intellectual property and platforms while providing technical consulting to stakeholders.
Design and build product features for AI governance components, including the AI Gateway and Agent Firewall. Collaborate with enterprise customers and partners to implement security boundaries and integrate with developer tools.
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