Remote AI Engineer Jobs in United Kingdom (87)

Lead AI Engineer

You will architect and deliver advanced AI solutions while providing technical leadership and mentoring to a team. The role involves collaborating with clients to translate business challenges into scalable, trustworthy AI systems.

Full-stack AI engineer (LATAM) | Full-Time #PAR1

You will own a specific lane of the product, building screens and server code while ensuring data isolation between tenants. Additionally, you will review code generated by AI agents and maintain high standards through rigorous testing and pull request reviews.

Backend AI Engineer

Design and build the operator control plane for an enterprise AgenticOps platform, connecting real-time web interfaces with multi-agent backends. Develop high-performance visualization tools and low-latency streaming pipelines to enable human-in-the-loop control for autonomous systems.

Lead Fullstack AI Engineer

Design and build the operator control plane for an enterprise AgenticOps platform, connecting real-time web interfaces with asynchronous multi-agent backends. Develop high-performance visual interfaces for network topology and implement low-latency streaming pipelines for real-time agent telemetry.

Applied AI Engineer

Principal Applied AI Engineer

Lead a high-performing product team to develop and integrate Cephai-powered AI capabilities into the CINC platform. Collaborate with cross-functional leaders to design production-grade systems that solve client problems while maintaining operational reliability.

AI Engineer

You will design and build reliable AI agents and shared services from initial concept through to production deployment. Additionally, you will implement rigorous evaluation and monitoring processes to ensure the quality and performance of all AI-driven solutions.

AI Engineer

You will build and deploy agentic AI features for finance workflows on the Truvio platform, managing the full lifecycle from design to production. This involves collaborating with product teams and customers to ensure high-quality, reliable AI solutions that solve real-world finance problems.

Principal AI Engineer

You will define the end-to-end architecture for Truvio's agentic platform and lead the development of flagship AI agents for finance. You will also set engineering standards for AI quality, safety, and governance while mentoring senior engineers across the organization.

Senior Applied AI Engineer

Design and develop LLM-powered systems while diagnosing and improving AI performance through rigorous experimentation and evaluation. Provide technical leadership by mentoring engineers and defining architectural standards for production-ready AI applications.

AI Engineer

Build, deploy, and optimize production-grade machine learning and generative AI applications, including RAG systems, AI agents, and integrations with foundation models. Develop model training, evaluation, deployment, and monitoring pipelines, while collaborating with architects, product managers, and engineering teams to ensure reliable and efficient AI solutions.

Senior AI Engineer

The Senior AI Engineer will take ownership of machine learning projects, including research and design of complex architectures. Responsibilities also involve working with edge hardware, NLP models, and generative models for image and video.

AI Engineer - Voice & Agentic Systems 29 applicants

You will design, build, and maintain end-to-end voice agents using LLM orchestration, FastAPI services, and real-time telephony pipelines. You are responsible for the entire agent lifecycle, from initial prompting to managing high-concurrency production calls.

AI Engineer

Senior AI Engineer, Agentic Platform

You will design, build, and deploy production-grade AI agents that solve specific customer needs by integrating with internal semantic layers and service APIs. You are responsible for the entire lifecycle of these agents, including performance evaluation, latency optimization, and continuous iteration based on user feedback.

AI Engineer

You will design, build, and deploy generative AI and data-driven products to improve orthopaedic patient care. You will also collaborate with machine learning scientists to build automation pipelines and ensure regulatory compliance for medical devices.

Senior AI Engineer (Defence)

The Senior AI Engineer will design and implement advanced artificial intelligence solutions tailored for defence applications. They will collaborate with cross-functional teams to integrate AI models into complex systems while ensuring performance and security standards.

Senior Agentic AI Engineer 11 applicants

Design, develop, and deploy autonomous AI agents and multi-agent systems to drive intelligent decision-making and workflow automation. Collaborate with cross-functional teams to architect scalable agentic platforms and implement robust monitoring and safety guardrails.

Freelance Forward Deployed AI Engineer

You will partner with executive leadership to diagnose data needs and architect scalable AI data-generation and evaluation pipelines. Additionally, you will provide technical leadership across client engagements while mentoring team members to establish engineering best practices.

11090 - AI Engineer Pleno | AI Automation - Sênior

Develop AI agents and automation workflows using LLMs, LangChain, and LangGraph. Implement RAG pipelines and integrate AI solutions with internal systems, APIs, and databases.

AI Engineer 12 applicants

Develop and validate statistical programming code to support clinical trial data analysis and reporting. Collaborate with data scientists and statisticians to ensure data requirements and regulatory standards are met.

Applied AI Engineer

You will build and deploy reliable AI agents that automate business processes and drive growth within marketing engineering pods. You are responsible for identifying high-impact problems and owning the end-to-end technical solutions using frontier models and orchestration tools.

AI Engineer I

Build and operate data pipelines connecting Salesforce, HubSpot, Stripe, and Databricks, and maintain go-to-market analytics models and dashboards. Develop and deploy LLM-based agents and automations for Sales, Marketing, and Finance, while productionizing integrations with tests and monitoring.

Generative AI Engineer

You will bridge the gap between functional design and technical implementation by creating low-level designs and prototype code for agentic AI systems. This involves running independent proofs of concept, proving integration patterns, and documenting solutions for a distributed development team.

Senior AI Engineer - ( MCP & LLM Integration) 12 applicants

The role involves leading the development of enterprise Model Context Protocol (MCP) integrations and establishing governed multi-model access. You will be responsible for building reference servers, connecting agentic workflows, and implementing model evaluation and observability frameworks.

AI ENGINEER

The AI Engineer will design, build, and optimize machine learning models and AI solutions to support enterprise automation and intelligent decision-making. They will also collaborate with cloud and engineering teams to deploy models and manage data pipelines.

Senior AI Engineer

You will design and implement end-to-end AI systems and agentic architectures while working directly within client teams. Additionally, you will mentor junior engineers and provide strategic AI enablement to help clients adopt new tooling.

AI Engineer

You will build and ship AI agents and client-facing systems, managing features from initial concept through to production. Additionally, you will collaborate directly with client teams to provide AI enablement, strategy, and technical integration.

Senior AI Engineer

Design and maintain production-grade agentic systems, including multi-agent orchestration and RAG pipelines grounded in company data. Implement AI infrastructure on AWS while ensuring compliance, safety, and high-quality output through rigorous evaluation frameworks.

AI Engineer 12 applicants

You will build tools to evaluate agent behavior, analyze traces, and implement features for automatic self-improvement. Additionally, you will run experiments on Mastra primitives to optimize configuration and performance.