151 to 175 of 686 AI Agents Jobs in the UK excluding London

year and is hybrid, requiring 3 days per week onsite in London. You'll be responsible for: Developing AI, GenAI and Agentic AI prototypes using Azure AI Foundry, Copilot Studio, Databricks Mosaic AI and MLflow. Building, optimising and evaluating Retrieval-Augmented Generation … Catalog, DLT and MLflow. Deep knowledge of Large Language Models including GPT, Llama, Claude and Mistral. Experience building and deploying GenAI, RAG and Agentic AI solutions in enterprise environments. Strong programming skills in Python, SQL and/or Scala. Experience with Azure cloud technologies including Azure OpenAI ...

Sector Technology team. This hands-on role focuses on building evaluation frameworks, tooling and harnesses for AI systems, particularly LLM and agentic AI solutions. The role requires ownership, experimentation and rapid delivery. Key Responsibilities Design evaluation frameworks and tooling Develop evaluation harnesses Evaluate model and agentic … strategic direction. What We Are Looking For Strong software engineering experience Experience building and evaluating AI systems Understanding of LLMs and agentic AI Experience with AI evaluation frameworks Ability to code independently Strong problem-solving and communication skills Comfortable working autonomously. Technical Experience AI ...

design and implementation of production-grade AI systems, including LLM-powered applications, retrieval augmented generation, model serving, evaluation frameworks, AI agents, data pipelines, cloud-native infrastructure, and MLOps workflows. Making pragmatic technical decisions that balance delivery speed, reliability, security, maintainability, user needs and commercial constraints. … powered applications. Experience with machine learning or generative AI systems, such as LLM-powered applications, RAG pipelines, embeddings, prompt engineering, model evaluation, agents, model serving, or ML workflows. Experience designing and delivering cloud-based systems, for example using AWS, Google Cloud or Azure, along with modern DevOps ...

data lakes to dynamic Vector Databases and Retrieval‐Augmented Generation (RAG) architectures. Agentic Development: Build production‐grade Agentic Workflows and custom AI agents, utilising advanced toolsets to bridge the widening market implementation gap. Setting Development Best Practices: Define, promote, and establish best practice tools, security approaches … clusters, nodes, pods), hardcore networking (VPC peering, Service Mesh, Zero Trust security), and solution architecture experience, with a cost‐optimisation mindset. Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock ...

data lakes to dynamic Vector Databases and Retrieval‐Augmented Generation (RAG) architectures. Agentic Development: Build production‐grade Agentic Workflows and custom AI agents, utilising advanced toolsets to bridge the widening market implementation gap. Setting Development Best Practices: Define, promote, and establish best practice tools, security approaches … clusters, nodes, pods), hardcore networking (VPC peering, Service Mesh, Zero Trust security), and solution architecture experience, with a cost‐optimisation mindset. Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock ...

data lakes to dynamic Vector Databases and Retrieval‐Augmented Generation (RAG) architectures. Agentic Development: Build production‐grade Agentic Workflows and custom AI agents, utilising advanced toolsets to bridge the widening market implementation gap. Setting Development Best Practices: Define, promote, and establish best practice tools, security approaches … clusters, nodes, pods), hardcore networking (VPC peering, Service Mesh, Zero Trust security), and solution architecture experience, with a cost‐optimisation mindset. Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock ...

AI Engineer Position: AI Engineer Type: Hourly Contract (Part-Time) Compensation: $60–$120/hour Location: Remote About the Opportunity This opportunity is for experienced AI Engineers and Software Engineers with expertise in Python, Java, C++, Rust, TypeScript, algorithms, debugging, codebase refactoring, and performance … codebase refactoring, and performance optimization . Develop reproducible environments with deterministic verification and golden reference solutions . Design workflows that require AI agents to discover and reason over information using MCP tools and real MCP servers . Evaluate AI-generated software solutions for correctness, maintainability ...

AI Engineer Position: AI Engineer Type: Hourly Contract (Part-Time) Compensation: $60–$120/hour Location: Remote About the Opportunity This opportunity is for experienced AI Engineers and Software Engineers with expertise in Python, Java, C++, Rust, TypeScript, algorithms, debugging, codebase refactoring, and performance … codebase refactoring, and performance optimization . Develop reproducible environments with deterministic verification and golden reference solutions . Design workflows that require AI agents to discover and reason over information using MCP tools and real MCP servers . Evaluate AI-generated software solutions for correctness, maintainability ...

looking for an experienced Agentic AI Engineer to join a pioneering team building next-generation AI solutions. You'll work on cutting-edge projects involving LLMs, Neo4j, Knowledge Graphs, GraphRAG, and AI Agents , helping unlock greater context, reasoning, and automation from their data. … Responsibilities: Design and develop Agentic AI applications and workflows Build and optimise Knowledge Graphs using Neo4j Develop GraphRAG and semantic search solutions Integrate LLMs with enterprise data sources Work closely with engineering and data teams to deliver production-ready AI systems Required Skills: Strong Python development ...

citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber Security Code of Practice … Scientist at Kainos, you will architect, design, and deliver advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. Your role will ...

citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber Security Code of Practice … Scientist at Kainos, you will architect, design, and deliver advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. Your role will ...

looking for an AI Quality Analyst to join a cutting-edge AI/ML team and play a pivotal role in testing, challenging and improving the next generation of intelligent systems. This is not a traditional QA role . You'll sit at the intersection … love to hear from candidates with experience in: Testing or evaluating AI/ML systems LLM evaluation and model benchmarking Agentic AI testing AI red teaming/adversarial testing Prompt evaluation and testing Model performance metrics Data quality and integrity Computer vision AI ...

AI at Roku? At Roku, we don’t just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We value curious, adaptable builders, who can show … they’ve used AI, agents, or automation to move faster, improve quality, and scale their impact. Strong candidates know how to frame problems, guide AI‐assisted work, check the output, and learn quickly. Above all, they bring curiosity, adaptability, and sound judgment. What ...

AI at Roku At Roku, we don’t just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability.We value curious, adaptable builders, who can show … they’ve used AI, agents, or automation to move faster, improve quality, and scale their impact. Strong candidates know how to frame problems, guide AI-assisted work, check the output, and learn quickly. Above all, they bring curiosity, adaptability, and sound judgment.What are the responsibilities ...

OpenTofu, Env0, Puppet, Rundeck, Python, and related infrastructure automation platforms. Champion AI-assisted engineering, Specification-Driven Design, Copilot technologies, AI agents, and intelligent automation to improve engineering productivity and delivery quality. Partner with cloud, networking, security, identity, storage, and platform teams to modernize infrastructure delivery … infrastructure platforms incorporating intelligent code generation, automated testing, policy validation, self-healing workflows, and predictive operational capabilities. Experience integrating LLMs, MCPs, AI agents, Copilot technologies, workflow automation platforms, or AI-assisted engineering solutions into infrastructure delivery processes. Supervisory Responsibilities This role does have supervisory duties. ...

with the Principal AI Lead, you will develop the tools, APIs, orchestration frameworks, and service layers that allow AI services, agents, and enterprise applications to interact effectively with manufacturing processes and operational data. As AI becomes an increasingly important differentiator within manufacturing software … Includes:Designing and building integrations between MES services and AI platforms. Developing tools, connectors, and orchestration services used by AI agents and intelligent applications. Building secure APIs and service layers that expose MES business capabilities to AI-enabled solutions. Developing reusable frameworks ...

treatment, working with relevant teams to design and implement controls. LLM & Agentic Security Assess the specific risks introduced by large language models and agentic AI systems, including prompt injection, jailbreaking, indirect prompt injection via external data sources, and unintended tool invocation. Evaluate agentic workflows for excessive permissions, insufficient … Able to identify and articulate risks that requesters have not considered. AI & Agentic Systems Knowledge: A working understanding of how LLMs, agentic AI, MCP servers, and AI integration patterns function, and the security risks they introduce, including prompt injection, tool misuse, data leakage, permissions ...

citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government’s AI Cyber Security Code of Practice … Kainos, you’ll be responsible for successful delivery of advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI development and scalable cloud-native architectures. Your role will involve technical leadership ...

citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government’s AI Cyber Security Code of Practice … Kainos, you’ll be responsible for successful delivery of advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI development and scalable cloud-native architectures. Your role will involve technical leadership ...

citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber Security Code of Practice … Kainos, you'll be responsible for successful delivery of advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI development and scalable cloud-native architectures. Your role will involve technical leadership ...

About the Job As an AI Platform Engineer you own the AI platform layer that powers teams across Allianz Technology globally. You will build and operate the runtime, governance, and developer experience that product and service teams use, from … model routing, caching, shared RAG services, MCP interfaces, Spec Kits, AI frameworks, Skills registries, to prompt management. You ensure AI agents and workloads run in a responsible (AI FinOps) and technically robust environment, with integrated safety. As an expert of the AI ...

Lead Design Engineer – UX/UI and AI Role StarCompliance is seeking a Lead Design Engineer – AI Product Experience who will shape StarCompliance is seeking a Lead Design Engineer – AI Product Experience who will shape how user experiences are designed, prototyped, and delivered across … interaction models for complex compliance workflows, data‐intensive applications, and AI‐enabled product capabilities. Agentic Product Development Define how AI agents should interpret product intent and generate user interfaces using approved components and experience standards. Create andmaintainagent instructions, reference implementations, rules, and machine‐readable context ...

AI Product Engineer - Birmingham - Hybrid (3 days a week in office) - £85,000 A growing SaaS business is building the next generation of intelligent software and is looking for an AI Product Engineer to help transform how customers interact with their platform. … features used by real customers. Collaborate with Product and Design teams to prototype and validate AI experiences. Integrate LLMs, AI agents and intelligent workflows into SaaS products. Develop backend services and frontend experiences supporting AI functionality. Experiment with prompts, evaluation frameworks and AI ...

accelerate refactoring and reduce technical debt. Drive the shift from "developer-as-coder" to "developer-as-orchestrator," ensuring our teams effectively leverage agentic AI to manage complex workflows.Define the metrics for "AI-augmented productivity," focusing on how AI accelerates the software development lifecycle (SDLC … Metrics Engineering Maturity Index: Measurable increase in adherence to group engineering standards and best practices using DORA metrics.AI Adoption Velocity: Adoption rate of agentic AI workflows across tribes and the measurable impact on code quality and review cycles.Quality & Security Velocity: Reduction in technical debt and successful integration ...

most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows.Protégé in PatentSight is LNIP’s next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded … proof, and aligned with product strategy.Evaluate and recommend AI technologies, modelling approaches, and platform components.Stay up to date with advances in agentic AI and domain-specific AI research. Translate emerging capabilities into practical architectural recommendations.Author and maintain Architecture Decision Records (ADRs) and system design ...