Remote AI Engineer Jobs in United Kingdom (222)

Senior AI Engineer (f/m/x)

Design, build, and operate reliable back-end services and APIs to power internal AI tools and workflows. Manage secure deployment pathways and maintain shared AI capabilities like plugins and agent orchestration.

Software Engineer | AI Training Data & Evals Lab 🧠

You will design, build, and maintain production systems, including evaluation harnesses and data pipelines for AI models. You will also develop APIs and backend services to support human-in-the-loop workflows and improve system observability.

Full Stack AI Engineer Python

Design, develop, and maintain scalable full-stack web applications using ReactJS and Python/FastAPI. Integrate AI technologies such as LLMs, RAG pipelines, and AI agents into robust backend services.

Full-Stack Product Engineer, AI Tools

Staff AI Engineer

You will define the AI technical strategy and roadmap while serving as the internal authority on applied AI system design. You will build and scale reliable GenAI systems, including RAG and agentic architectures, while partnering with cross-functional teams to drive business impact.

Cloud Engineer - AI Services

You will build, secure, and maintain cloud infrastructure while integrating cloud services with software applications. Additionally, you will collaborate with engineering teams to support DevOps processes and develop AI-assisted software solutions.

Staff Applied AI Engineer

You will lead the development of AI-powered applications, setting technical standards for algorithmic quality and scalability. You will also define the AI roadmap, manage deployment, and contribute to prompting standards across the engineering team.

Senior Applied AI Engineer

Lead the end-to-end lifecycle of AI solutions, from discovery and design to production deployment and monitoring. Collaborate with stakeholders to define success criteria and ensure AI capabilities are effectively integrated into business workflows.

Full Stack Software Engineer — AI & Automation

You will own features end-to-end, from design and implementation to deployment and production monitoring. You will also build and improve AI-assisted workflows and integrations while collaborating with product and operations teams.

Staff AI Engineer - EU

You will lead the technical direction of AI systems and Research Flow, overseeing the end-to-end development from experimentation to production. This involves building scalable AI foundations, establishing quality standards, and collaborating across teams to deliver secure and dependable customer experiences.

Forward Deployed Engineer (AI First Delivery)

The Forward Deployed Engineer will build end-to-end applications by integrating AI tools across the full technology stack. They will collaborate with customers and delivery leads to translate business problems into reliable, production-ready software solutions.

Senior AI Engineer (GTM)

You will design and build AI-powered systems for account segmentation, scoring, and sales workflow automation. You will also own the full lifecycle of these systems, including development, deployment, and performance optimization for quality and cost.

AI / Generative AI Engineer – Fresher / Trainee 25 applicants

The candidate will assist in developing AI-powered applications, including working with LLMs, RAG solutions, and vector databases. They will also collaborate with software engineers to integrate AI features into production applications and perform data preprocessing.

Staff Storage Platform Engineer (AI Storage) - Remote

Design, build, and operate the AI storage layer for large-scale GPU infrastructure across edge and core deployments. Optimize storage throughput and latency for distributed inference, fine-tuning, and training workloads.

Staff Network Engineer (AI Fabric, Datacenter and Edge Networking) - Radian Arc

Design, implement, and operate high-performance AI fabric and datacenter network infrastructure to support distributed GPU workloads. Act as the primary architectural authority for networking, driving automation, reliability, and cross-functional collaboration across the organization.

Senior AI Engineer

The Senior AI Engineer will own the AI layer, including retrieval, agents, and natural language interfaces over enterprise data. They will collaborate with cross-functional teams to deliver scalable, production-ready solutions while ensuring high quality through rigorous evaluation.

Principal AI Engineer

You will set the technical direction for AI at HotDocs, designing and delivering new AI-powered enterprise features from prototype to production. Additionally, you will lead AI adoption across the software development lifecycle and mentor the engineering team to improve technical excellence.

Senior AI Engineer, Location AI

You will own the technical design and delivery of multi-component AI systems, including building evaluation frameworks and data pipelines. You will also participate in an on-call rotation to ensure system availability and iterate on model harnesses to improve performance.

Principal Forward Deployed Engineer, AI (Remote UK)

Lead the design, development, and deployment of AI/ML-powered solutions while collaborating with cross-functional teams to solve complex customer problems. Oversee the end-to-end production lifecycle of AI solutions and mentor junior engineers to foster innovation.

Senior Full-Stack Engineer - AI Cost Visibility

You will own the end-to-end development of the AI cost visibility product, from backend Go services to React-based user interfaces. You are expected to work in an AI-augmented manner to design, build, and iterate on features that provide measurable impact for customers.

OB - Lead AI Engineer

You will lead the development and maintenance of a secure AI-driven pipeline, establishing the conventions, gates, and autonomy tiers for AI-generated code. The role involves owning the knowledge plane, implementing verification gates, and continuously calibrating the system based on incident history and performance metrics.

1909 Fullstack AI Engineer

The role involves developing full-stack software solutions while integrating artificial intelligence to accelerate development processes. You will be responsible for applying AI tools and techniques, such as LLMs and RAG, to enhance technical output.

Lead AI Engineer

The Lead AI Engineer will design and implement end-to-end AI/ML solutions, including LLM-based applications and RAG pipelines. They will also be responsible for operationalizing models through MLOps practices and ensuring data governance across enterprise systems.

Senior Ai Engineer

You will design, build, and operate scalable AI systems, including generative AI applications and RAG workflows, to enhance product capabilities. Additionally, you will establish technical standards for AI development, evaluation, and deployment while collaborating across cross-functional teams.

Lead Business AI Engineer

The Lead Business AI Engineer will spearhead the development and deployment of AI-powered business solutions using Microsoft enterprise tools. This role involves leading a team of engineers, providing technical oversight for low-code solutions, and ensuring alignment with business strategy and governance.

Senior AI Engineer (Product Neuro Forge Team)

You will own the end-to-end development of AI/ML features, from research and prototyping to production deployment and monitoring. This includes designing LLM-powered solutions for feedback categorization, summarization, and semantic search while collaborating with cross-functional teams.

Qualtiy Assurance Engineer- AI Products

The QA AI Engineer is responsible for ensuring the quality, reliability, and safety of AI-driven products and proprietary LLM infrastructure. This role involves creating test plans, executing automated and manual test cases, and building evaluation frameworks to validate AI outputs and software behavior.

Senior Design Engineer, AI Platforms

You will design and implement high-quality, AI-native user interfaces while owning the evolution of the design system and component libraries. The role involves rapid prototyping, writing production-ready code, and collaborating closely with stakeholders to build complex developer-facing products.

Applied AI Engineer

Design and build core agentic infrastructure including memory, orchestration, and tool-calling to automate complex operational workflows. Develop robust evaluation and observability frameworks to ensure AI systems perform reliably in a production environment.

Research Engineer - AI Verification

You will build technical prototypes for AI verification and collaborate with external experts to translate research into practical policy tools. The role involves working across machine learning engineering, cybersecurity, and systems architecture to develop robust and auditable verification mechanisms.