1 to 25 of 582 Permanent AI Agents Jobs in England

production. As a Senior Machine Learning Engineer, you'll play a key role in developing and integrating cutting-edge AI solutions-including LLMs and AI agents -into our products and operations at a leading SaaS company. You'll collaborate closely with product and engineering teams to deliver innovative, high-impact systems that push the boundaries … DevOps, and data engineering teams to ensure reliable model deployment and system integration. Stay informed on current research and emerging tools in LLMs, generative AI, and autonomous agents , and evaluate their practical applicability. Participate in roadmap planning, design reviews, and documentation to ensure robust and maintainable systems. Required Qualifications 5+ years of experience in machine learning engineering … ML scientists, engineers, and stakeholders. Preferred Qualifications PhD in Computer Science, Machine Learning, Engineering , or a related technical discipline. Experience with multi-agent RAG systems or AI agents coordinating workflows for advanced information retrieval. Familiarity with prompt engineering and building evaluation pipelines for generative models. Exposure to Snowflake or similar cloud data platforms. Broader data science experience More ❯

enterprise platform. The Product Manager, DX GenAI Delivery plays a vital role in accelerating the deployment of high-impact use cases-such as AI-powered applications and agents-on approved Mars AI Platforms. This role ensures that GenAI aligns with Responsible AI, governance, ethical standards, and platform capabilities. By orchestrating cross-functional teams … of managing the end-to-end product lifecycle-from ideation through launch and optimization-preferably in complex, matrixed organizations Strong understanding of GenAI concepts, including LLMs, AI agents, prompt engineering, and platform capabilities (e.g., Azure AI Foundry, Google Vertex AI) Experience working with cross-functional teams, including engineering, data science, design, and business … User Centricity (Essential) Supplier Relationship Management (Essential) What will be your key responsibilities? Use Case Delivery Leadership : Own the end-to-end delivery of GenAI use cases-including applications, agents, and copilots-built on Mars-approved GenAI platforms, ensuring timely, value-driven execution across business segments. Product Lifecycle Management : Manage the full product lifecycle for GenAI solutions, from ideation More ❯

enterprise platform. The Product Manager, DX GenAI Delivery plays a vital role in accelerating the deployment of high-impact use cases-such as AI-powered applications and agents-on approved Mars AI Platforms. This role ensures that GenAI aligns with Responsible AI, governance, ethical standards, and platform capabilities. By orchestrating cross-functional teams … of managing the end-to-end product lifecycle-from ideation through launch and optimization-preferably in complex, matrixed organizations Strong understanding of GenAI concepts, including LLMs, AI agents, prompt engineering, and platform capabilities (e.g., Azure AI Foundry, Google Vertex AI) Experience working with cross-functional teams, including engineering, data science, design, and business … User Centricity (Essential) Supplier Relationship Management (Essential) What will be your key responsibilities? Use Case Delivery Leadership : Own the end-to-end delivery of GenAI use cases-including applications, agents, and copilots-built on Mars-approved GenAI platforms, ensuring timely, value-driven execution across business segments. Product Lifecycle Management : Manage the full product lifecycle for GenAI solutions, from ideation More ❯

enterprise platform. The Product Manager, DX GenAI Delivery plays a vital role in accelerating the deployment of high-impact use cases-such as AI-powered applications and agents-on approved Mars AI Platforms. This role ensures that GenAI aligns with Responsible AI, governance, ethical standards, and platform capabilities. By orchestrating cross-functional teams … of managing the end-to-end product lifecycle-from ideation through launch and optimization-preferably in complex, matrixed organizations Strong understanding of GenAI concepts, including LLMs, AI agents, prompt engineering, and platform capabilities (e.g., Azure AI Foundry, Google Vertex AI) Experience working with cross-functional teams, including engineering, data science, design, and business … User Centricity (Essential) Supplier Relationship Management (Essential) What will be your key responsibilities? Use Case Delivery Leadership : Own the end-to-end delivery of GenAI use cases-including applications, agents, and copilots-built on Mars-approved GenAI platforms, ensuring timely, value-driven execution across business segments. Product Lifecycle Management : Manage the full product lifecycle for GenAI solutions, from ideation More ❯

skills. Demonstrate passion for client success, striving for excellence, and proactively managing stakeholder relationships to enhance collaboration. Capability Development Helpconfigure, build and integrate Generative AI and Agentic AI solutions using technology like Copilot Studio, Azure AI Foundry or Google Vertex AI Studio to provide reliable solutions to client problems. Identify opportunities to … accelerate the Generative AI and Agentic AI solutions and continuously develop expertise through training and certifications. Stay informed of the competitive technology landscape and explore the feasibility of deploying other Gen AI solutions such as Amazon Q, Google Gemini or Chat GPT Enterprise. Help translate new learnings to expand the Workplace AI … at least one of the following core AI technologies: Azure AI Foundry Amazon Q Knowledge of latest trends like Generative AI and Agentic AI, with understanding of technology risks. Experience or understanding of programming language like Python, React, Java, or SQL from self-teaching, educational background, personal initiatives or projects delivered Understanding More ❯

skills. Demonstrate passion for client success, striving for excellence, and proactively managing stakeholder relationships to enhance collaboration. Capability Development Helpconfigure, build and integrate Generative AI and Agentic AI solutions using technology like Copilot Studio, Azure AI Foundry or Google Vertex AI Studio to provide reliable solutions to client problems. Identify opportunities to … accelerate the Generative AI and Agentic AI solutions and continuously develop expertise through training and certifications. Stay informed of the competitive technology landscape and explore the feasibility of deploying other Gen AI solutions such as Amazon Q, Google Gemini or Chat GPT Enterprise. Help translate new learnings to expand the Workplace AI … at least one of the following core AI technologies: Azure AI Foundry Amazon Q Knowledge of latest trends like Generative AI and Agentic AI, with understanding of technology risks. Experience or understanding of programming language like Python, React, Java, or SQL from self-teaching, educational background, personal initiatives or projects delivered Understanding More ❯

Technical AI Consultant Location: UK (Hybrid) (London, Glasgow, Manchester) Type: Full-time | Permanent Clearance: BPSS or SC preferred Salary: £45000 - £70000 About the Role My client is looking for a forward-thinking Workplace AI Consultant to help deliver innovative AI solutions that transform the employee experience. You'll work on exciting projects using tools … like Microsoft Copilot, Amazon Q, and other GenAI platforms to solve real business challenges. What You'll Do Lead or support AI project delivery using Agile methods. Prototype and build AI solutions using platforms like Azure AI Foundry or Google Vertex AI. Help clients adopt AI tools to improve workplace productivity and … development, security, and compliance. Familiarity with programming (e.g., Python, Java, SQL) is a plus. Passion for learning and sharing knowledge with others. Nice to Have Experience with GenAI, Agentic AI, or LLMs. Exposure to technologies like vector databases, RAG, or containerisation (Docker/Kubernetes). Relevant certifications and a professional degree. UK security clearance (BPSS or SC). More ❯

using Terraform or AWS CDK. Exposure to data streaming platforms like Kafka is a bonus. Background in performance optimization, scalability, and security best practices. Desired Skills: Knowledge of AI and Emerging Technologies (Good to have) Understanding of how AI capabilities can be integrated into enterprise applications to enhance user experience, decision-making, and automation. Exposure to … modern AI application patterns such as: Retrieval-Augmented Generation (RAG) for augmenting LLMs with domain-specific knowledge. Prompt engineering and fine-tuning for tailoring model behavior to business-specific contexts. Use of embedding stores and vector databases (e.g., Pinecone, Redis, Azure AI Search … to support semantic search and recommendation systems. Building intelligent features like AI-powered chatbots , assistants , and question-answering systems using LLMs and conversational agents. Awareness of agentic AI concepts — orchestrating multiple agents with specific tasks/goals in a collaborative, dynamic environment. Familiarity with tools and frameworks that enable LLM-based integrations such as LangChain More ❯

using Terraform or AWS CDK. Exposure to data streaming platforms like Kafka is a bonus. Background in performance optimization, scalability, and security best practices. Desired Skills: Knowledge of AI and Emerging Technologies (Good to have) Understanding of how AI capabilities can be integrated into enterprise applications to enhance user experience, decision-making, and automation. Exposure to … modern AI application patterns such as: Retrieval-Augmented Generation (RAG) for augmenting LLMs with domain-specific knowledge. Prompt engineering and fine-tuning for tailoring model behavior to business-specific contexts. Use of embedding stores and vector databases (e.g., Pinecone, Redis, Azure AI Search … to support semantic search and recommendation systems. Building intelligent features like AI-powered chatbots , assistants , and question-answering systems using LLMs and conversational agents. Awareness of agentic AI concepts — orchestrating multiple agents with specific tasks/goals in a collaborative, dynamic environment. Familiarity with tools and frameworks that enable LLM-based integrations such as LangChain More ❯

using Terraform or AWS CDK. Exposure to data streaming platforms like Kafka is a bonus. Background in performance optimization, scalability, and security best practices. Desired Skills: Knowledge of AI and Emerging Technologies (Good to have) Understanding of how AI capabilities can be integrated into enterprise applications to enhance user experience, decision-making, and automation. Exposure to … modern AI application patterns such as: Retrieval-Augmented Generation (RAG) for augmenting LLMs with domain-specific knowledge. Prompt engineering and fine-tuning for tailoring model behavior to business-specific contexts. Use of embedding stores and vector databases (e.g., Pinecone, Redis, Azure AI Search … to support semantic search and recommendation systems. Building intelligent features like AI-powered chatbots , assistants , and question-answering systems using LLMs and conversational agents. Awareness of agentic AI concepts — orchestrating multiple agents with specific tasks/goals in a collaborative, dynamic environment. Familiarity with tools and frameworks that enable LLM-based integrations such as LangChain More ❯

About us We are Orbital an AI company on a mission to automate the legal segment of every property transaction in the world We iterate rapidly to build products that utilise the bleeding-edge AI models. Products that are powered by the latest frontier models including OpenAI's GPT-4.1, o3 and o4-mini along with … edge models from leading AI labs like OpenAI, Google, Gemini and Anthropic. This is an exciting opportunity for someone who is passionate about LLMs, AI agents, and agentic architecture, and who wants to work at the forefront of AI technology in production use cases. We are looking for Software Engineers who have transitioned … engineering and have made the transition into AI Engineering, or are motivated to make that transition. You are excited about the potential of LLMs, AI agents, and agentic architectures. You have in depth experience with full stack or backend Python development. You value shipping early and often to get customer feedback and then iterating quickly More ❯

lifecycle. About the Job: As a member of the Capco Technology Delivery Team, you'll bring practical knowledge of agile development methodologies and engineering best practices. As an AI Engineer, you'll play an integral role using your experience and skills to contribute to the quality and implementation of our projects. What You'll Get to Do: Architect … systems that integrate LLMs with multi-modal capabilities (text, image, audio, and video) to support complex, real-world tasks Create robust agentic workflows enabling AI agents to interact autonomously with data sources and external APIs using advanced prompt engineering and retrieval-augmented generation (RAG) Fine-tune and optimize pre-trained large language models and multi … resource utilization Excellent communication skills and a collaborative mindset, with experience working in multi-disciplinary, agile teams Preferable to have: Experience in deep learning frameworks Experience working with agentic AI frameworks Experience building user-facing front-end applications Knowledge and implementation of Model Context Protocol Why Capco? A career at Capco is a chance to help reshape the More ❯

us at Plentific. The Role As an AI Solutions Architect, you will spearhead the development of transformative AI-powered automations, intelligent assistants, AI agents, and copilot features that revolutionise how our users interact with our platform. These innovations will further enhance our ability to deliver exceptional user experiences at scale. Your primary focus … will be on developing AI-powered intelligent workflow automation and resource optimisation systems for property operations. You'll leverage technologies such as process mining, predictive analytics, and intelligent decision support systems, while also incorporating complementary AI capabilities including voice technologies (IVR, voice-to-text), computer vision (image and video-based diagnostics), and natural language processing where … and computer vision applications (image and video processing) for enterprise environments Knowledge of advanced AI agent frameworks and architectures such as ReAct for building more effective autonomous agents for complex property management workflows and decision-making processes Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch), LLM orchestration tools (LangChain, LangGraph), MLOps practices and More ❯

offer you the ultimate career opportunity that will light a fire within you. So, what's the role all about? We are seeking a highly skilled and experienced AI Engineer to join the NiCE CXone Mpower Proactive AI Agent research team. In this role, you will play a key role in the success of our AI … ensuring performance to the highest standards. You'll be part of a multidisciplinary team focused on delivering enterprise-grade AI capabilities, including generative AI, agentic AI, LLMs and RAG (retrieval-augmented generation). The AI Engineer will optimise prompts to generative AI models across NiCE's Proactive AI … groups in the business to help our applications deliver the highest quality customer experience. How will you make an impact? Design and implement models that seamlessly integrate advanced AI technologies into our products. Collaborate with product and engineering teams to translate business goals into scalable, effective AI solutions. Work closely with other AI teams More ❯

About the Role : (Retail experience) We are seeking an experienced Cloud Architect with strong domain expertise in the retail sector and technical proficiency in vector search technologies and AI-driven agent systems. This role is responsible for designing scalable and intelligent cloud-native architectures that enhance personalization, product discovery, and operational efficiency for major retail customers using Google … solutions on GCP that optimize customer experience, supply chain, and omnichannel engagement. • Implement and optimize vector search capabilities (e.g., ScaNN, FAISS) for personalized product search and recommendations. • Design AI-powered agent systems to support customer service, inventory management, and sales enablement use cases. • Collaborate with retail clients to assess current infrastructure and define scalable cloud transformation strategies. • Lead … Engineering, or related field. • 10+ years of experience in cloud architecture/solution engineering, including at least 3 years in the retail industry. • 5+ years of experience in AI/ML engineering, with at least 2+ years specifically focused on Generative AI (LLMs, diffusion models, etc.). • Extensive experience designing GCP-based architectures leveraging services such More ❯

About the Role : (Retail experience) We are seeking an experienced Cloud Architect with strong domain expertise in the retail sector and technical proficiency in vector search technologies and AI-driven agent systems. This role is responsible for designing scalable and intelligent cloud-native architectures that enhance personalization, product discovery, and operational efficiency for major retail customers using Google … solutions on GCP that optimize customer experience, supply chain, and omnichannel engagement. • Implement and optimize vector search capabilities (e.g., ScaNN, FAISS) for personalized product search and recommendations. • Design AI-powered agent systems to support customer service, inventory management, and sales enablement use cases. • Collaborate with retail clients to assess current infrastructure and define scalable cloud transformation strategies. • Lead … Engineering, or related field. • 10+ years of experience in cloud architecture/solution engineering, including at least 3 years in the retail industry. • 5+ years of experience in AI/ML engineering, with at least 2+ years specifically focused on Generative AI (LLMs, diffusion models, etc.). • Extensive experience designing GCP-based architectures leveraging services such More ❯

About the Role: (Retail experience) We are seeking an experienced Cloud Architect with strong domain expertise in the retail sector and technical proficiency in vector search technologies and AI-driven agent systems. This role is responsible for designing scalable and intelligent cloud-native architectures that enhance personalization, product discovery, and operational efficiency for major retail customers using Google … solutions on GCP that optimize customer experience, supply chain, and omnichannel engagement. • Implement and optimize vector search capabilities (e.g., ScaNN, FAISS) for personalized product search and recommendations. • Design AI-powered agent systems to support customer service, inventory management, and sales enablement use cases. • Collaborate with retail clients to assess current infrastructure and define scalable cloud transformation strategies. • Lead … Engineering, or related field. • 10+ years of experience in cloud architecture/solution engineering, including at least 3 years in the retail industry. • 5+ years of experience in AI/ML engineering, with at least 2+ years specifically focused on Generative AI (LLMs, diffusion models, etc.). • Extensive experience designing GCP-based architectures leveraging services such More ❯

B2B {Inside IR35} Roles & Responsibilities: We are seeking an experienced Cloud Architect with strong domain expertise in the retail sector and technical proficiency in vector search technologies and AI-driven agent systems. This role is responsible for designing scalable and intelligent cloud-native architectures that enhance personalization, product discovery, and operational efficiency for major retail customers using Google … solutions on GCP that optimize customer experience, supply chain, and omnichannel engagement. Implement and optimize vector search capabilities (e.g., ScaNN, FAISS) for personalized product search and recommendations. Design AI-powered agent systems to support customer service, inventory management, and sales enablement use cases. Collaborate with retail clients to assess current infrastructure and define scalable cloud transformation strategies. Lead … Engineering, or related field. 10+ years of experience in cloud architecture/solution engineering, including at least 3 years in the retail industry. 5+ years of experience in AI/ML engineering, with at least 2+ years specifically focused on Generative AI (LLMs, diffusion models, etc.). Extensive experience designing GCP-based architectures leveraging services such More ❯

between brick-and-mortar and online payments. Further information is available at . It starts here. Have a global impact on the world of payments. Are you an AI visionary with a … passion for shaping the future of Generative AI ? We're seeking a Senior Director, Gen AI to lead the development of advanced AI agents, leveraging LLMs, reinforcement learning, vector databases, and autonomous systems . As a key AI strategy leader , you'll define the next-generation consumer experiences , enabling real-time … St Paul's, Bank, Cannon Street, City Thameslink, Liverpool Street, Farringdon, Mansion House. The impact you will have: AI Agent Development: Design and optimize AI agents capable of autonomous learning, decision-making, and task execution. LLM Fine-Tuning & Enhancement: Adapt foundational models like GPT, Llama, integrating retrieval-augmented generation (RAG), personalization, and continuous improvement loops. More ❯

Are you passionate about building intelligent systems with cutting-edge AI? Do you want to lead the development of Generative AI applications that genuinely help students worldwide navigate their educational journey? Keystone Education Group is seeking an experienced and innovative Senior AI Engineer to join our growing team. Based primarily in Sheffield, UK, but … offering hybrid working from Sheffield or Stockholm, this is a fantastic opportunity to spearhead our initiatives in Generative AI and make a significant impact within a global EdTech leader. As our Senior AI Engineer , you will be the technical lead for AI application development, focusing heavily on Generative AI. You'll own the end … Experience utilising Knowledge Graphs (Neo4j preferred) as part of AI architectures, as part of modern RAG systems. Highly Desirable: Experience building B2C applications (e.g., chatbots), exploring Agentic AI patterns. What can we offer you? Freedom to help, plan and lead AI/ML architecture decisions in a fast-growing company. Extensive training and learning More ❯

teams from Google, Meta, TradeDesk and Amazon to deliver innovative solutions that helps deliver businessresults to our clients. Job Description We are seeking a highly motivated and experienced AI/Data Science Product Strategy Lead to spearhead the development and implementation of innovative AI-powered solutions that will revolutionize our performance marketing capabilities. This pivotal role … will be responsible for envisioning, building, and scaling AI automations and measurement products that directly enhance campaign performance, drive efficiency, and unlock new opportunities for our clients. You will be at the forefront of leveraging recent advancements in AI, particularly in the areas of Large Language Models (LLMs) and AI agent frameworks, to create … game-changing solutions within a performance media context. This role demands a strategic thinker with strong technical acumen, a passion for innovation, and the ability to translate complex AI concepts into tangible and scalable product offerings. Responsibilities • Develop and own the AI product vision and strategy for performance marketing: Define a clear roadmap for AI More ❯

Full-time, Co-Founder Equity Position Compensation: Competitive base + significant equity stake (3-8%) Funding Stage: Seed (£850k) 🚀 The Opportunity Join us in building the next-generation AI platform that will transform London's £200B+ financial services sector. FinanceGPT London combines cutting-edge AI with deep UK regulatory expertise and City-specific market intelligence. We … to a £3-8B exit, serving investment banks, asset managers, hedge funds, and fintech companies across The City, Canary Wharf, and beyond. 🎯 What You'll Build Core AI Platform Advanced LLM Integration: Deploy and fine-tune GPT …/Claude models with financial domain expertise Real-time Market Intelligence: Process millions of data points per second from LSE, Bloomberg, and alternative data sources Autonomous AI Agents: Build intelligent agents for trading, compliance, research, and risk management Predictive Analytics: Develop ML models for earnings prediction, M&A identification, and market regime detection Technical Infrastructure Cloud More ❯

Full-time, Co-Founder Equity Position Compensation: Competitive base + significant equity stake (3-8%) Funding Stage: Seed (£850k) 🚀 The Opportunity Join us in building the next-generation AI platform that will transform London's £200B+ financial services sector. FinanceGPT London combines cutting-edge AI with deep UK regulatory expertise and City-specific market intelligence. We … to a £3-8B exit, serving investment banks, asset managers, hedge funds, and fintech companies across The City, Canary Wharf, and beyond. 🎯 What You'll Build Core AI Platform Advanced LLM Integration: Deploy and fine-tune GPT …/Claude models with financial domain expertise Real-time Market Intelligence: Process millions of data points per second from LSE, Bloomberg, and alternative data sources Autonomous AI Agents: Build intelligent agents for trading, compliance, research, and risk management Predictive Analytics: Develop ML models for earnings prediction, M&A identification, and market regime detection Technical Infrastructure Cloud More ❯

Full-time, Co-Founder Equity Position Compensation: Competitive base + significant equity stake (3-8%) Funding Stage: Seed (£850k) The Opportunity Join us in building the next-generation AI platform that will transform London's £200B+ financial services sector. FinanceGPT London combines cutting-edge AI with deep UK regulatory expertise and City-specific market intelligence. We … to a £3-8B exit, serving investment banks, asset managers, hedge funds, and fintech companies across The City, Canary Wharf, and beyond. What You'll Build Core AI Platform Advanced LLM Integration: Deploy and fine-tune GPT …/Claude models with financial domain expertise Real-time Market Intelligence: Process millions of data points per second from LSE, Bloomberg, and alternative data sources Autonomous AI Agents: Build intelligent agents for trading, compliance, research, and risk management Predictive Analytics: Develop ML models for earnings prediction, M&A identification, and market regime detection Technical Infrastructure Cloud More ❯

meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation. About Apexon: Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on … develop, and deliver product features from concept to production. Work across the stack, from frontend interfaces to backend systems and infrastructure. Integrate and optimize applications with AI agents, prompt engineering techniques, and emerging LLM tools. Champion code quality, test coverage, and operational excellence through peer reviews and automated testing. Deploy and monitor services in cloud environments, ensuring … Scrum environments, ideally with globally distributed teams. Hands-on experience deploying applications on AWS, GCP, Azure, or Kubernetes (K8s). Familiarity with prompt engineering, LLM APIs, AI agents, and related tooling. Proficient in unit testing, integration testing, and Test-Driven Development (TDD). Excellent problem-solving, debugging, and performance-tuning skills. Preferred Qualifications Strong communication skills and More ❯