1 to 25 of 175 AI Agents Jobs in London

ABOUT BEAMERY Beamery's mission is to create equal access to work, skills, and careers. We are a leading transformational AI platform in the HR technology industry, enabling enterprise companies to create better and fairer talent decisions - by accelerating their recruiting processes, unlocking successful internal mobility opportunities, enabling smarter upskilling initiatives, and facilitating agile workforce planning. We are … team: Deepening our native integrations with SAP, Workday, Microsoft, and LinkedIn to seamlessly embed our skills intelligence into the platforms where critical workforce decisions are made. Embedding our agentic AI to help customers plan smarter for the future-powering workforce strategies, internal mobility, and skills forecasting. Advancing our use of proprietary LLMs and knowledge graph technology to help … re building intelligent products powered by LLMs and agentic workflows that turn complex talent data into actionable insights and automation. Own and lead the full lifecycle of impactful AI-driven product initiatives, from early discovery to deployment, designed to solve talent management processes for customers. Design, build, and scale production-grade ML systems that extract insights from rich 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 ❯

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 ❯

of Machine Learning and key stakeholders across Motorway to identify and prioritise high-impact use cases for Generative AI. Develop end-to-end AI solutions, including agentic AI systems that dynamically adapt their interactions to evolving goals, solving real problems. Implement comprehensive evaluation methodologies and observability frameworks specifically tailored to assess performance, reliability, and safety of … agentic AI solutions. Help to shape and develop Motorway's Generative AI strategy Work across the organisation to run workshops and help upskill colleagues best practices around agentic frameworks, reasoning models, tools (inc. Model Context Protocol), and AI solution deployments. Requirements Demonstrable experience designing, developing, and deploying Generative AI solutions that deliver … as langchain, Pydantic-AI, Google ADK, OpenAI's Assistants, litellm, etc (it's not required to know them all), and an understanding of how they facilitate agentic AI development. Strong practical knowledge of prompt engineering techniques and advanced LLM concepts, such as CoT reasoning, prompt chaining, iterative refinement, RAG techniques, MCP, multi-agent architectures, and a More ❯

About Us DeepOpinion is the enterprise-grade Agentic Automation platform enabling teams to put their complex knowledge work on autopilot. By combining Agentic AI, business process digitization and no-code development in a single platform, teams can create AI apps in minutes to achieve 90%+ straight-through processing. With €11 million raised in a Series … West and Alpha Intelligence Capital, and the support of existing investors Lunar Ventures and Stride VC, we are accelerating our vision to become the go-to provider for AI-driven automation solutions across the globe. About the Role As Senior Backend Developer in the Product team, you are responsible for building features and designing and implementing new endpoints. … This involves diverse tasks from gathering requirements and giving feedback on technical feasibility to working closer to the machine learning team to bring the power of our AI to the product We build products, APIs, frameworks and world-leading deep learning NLP technology . Our tech stack: Programming language: Python Frameworks: FastAPI, Flask, Django Databases and data stores 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 BEAMERY Beamery's mission is to create equal access to work, skills, and careers. We are a leading transformational AI platform in the HR technology industry, enabling enterprise companies to create better and fairer talent decisions - by accelerating their recruiting processes, unlocking successful internal mobility opportunities, enabling smarter upskilling initiatives, and facilitating agile workforce planning. We are … team: Deepening our native integrations with SAP, Workday, Microsoft, and LinkedIn to seamlessly embed our skills intelligence into the platforms where critical workforce decisions are made. Embedding our agentic AI to help customers plan smarter for the future-powering workforce strategies, internal mobility, and skills forecasting. Advancing our use of proprietary LLMs and knowledge graph technology to help … a full stack team working on one of Beamery's newest products. We own Beamery's Job Architecture Portal and associated backend APIs. We sit in Beamery's AI vector and collaborate daily with knowledge engineers, ML engineers, and data scientists. We help customers optimise their workforce planning by giving them tools and insights to help them quickly More ❯

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 others from … solve legal challenges for their clients. Because of this we will continue to push ahead and use the most intelligent and the fastest foundational models to build an AI Assistant that can provide accurate, efficient, and reliable support to legal professionals in the world of real estate. Already the trusted ally of thousands of lawyers and commercial property … the criteria. It would also be nice if you have: Exposure to container orchestration (e.g., Kubernetes) Experience building or maintaining infrastructure for AI workloads, including support for agents, LLMs, or vector databases. Familiarity with LangChain, LangSmith, or similar agent orchestration and tracing tools. Experience managing and scaling applications in cloud environments, particularly with Azure. As part of 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 … solve legal challenges for their clients. Because of this we will continue to push ahead and use the most intelligent and the fastest foundational models to build an AI Assistant that can provide accurate, efficient, and reliable support to legal professionals in the world of real estate. Already the trusted ally of thousands of lawyers and commercial property … the criteria. It would also be nice if you have: Exposure to container orchestration (e.g., Kubernetes) Experience building or maintaining infrastructure for AI workloads, including support for agents, LLMs, or vector databases. Familiarity with LangChain, LangSmith, or similar agent orchestration and tracing tools. Experience managing and scaling applications in cloud environments, particularly with Azure. As part of More ❯

Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing Machine Learning and AI at Trainline Machine learning is at the heart of … Trainline's mission to help millions of people make sustainable travel choices every day. Our AI systems power critical aspects of our platform, including: AI agents improving customer support and changing how we travel Advanced search and recommendations capabilities across our mobile and web applications Pricing and routing optimisations to find the best fares for … Have an advanced degree in Computer Science, Mathematics or a similar quantitative discipline Understanding of NLP algorithms and techniquesand/or experience with Large Language Models (fine tuning, RAG, agents) Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) Have experience productionising machine learning models Are an expert in one of predictive modeling More ❯

Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing Machine Learning and AI at Trainline Machine learning is at the heart of … Trainline's mission to help millions of people make sustainable travel choices every day. Our AI systems power critical aspects of our platform, including: AI agents improving customer support and changing how we travel Advanced search and recommendations capabilities across our mobile and web applications Pricing and routing optimisations to find the best fares for … Have an advanced degree in Computer Science, Mathematics or a similar quantitative discipline Understanding of NLP algorithms and techniquesand/or experience with Large Language Models (fine tuning, RAG, agents) Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) Have experience productionising machine learning models Are an expert in one of predictive modeling More ❯

About Cleo Most people come to Cleo to do work that matters. Every day, we empower people to build a life beyond their next paycheck, building a beloved AI that enables you to forge your own path toward financial well-being. Backed by Tier 1 investors, we’ve reached millions of people to support them throughout their financial … some examples, big and small, of the kinds of product feature work our ML Engineers have taken part in over the last year: Designed and implemented AI agents to analyse and extract insights from users’ transactional data. Developed models to interpret transactional data, enhancing the understanding of users’ finances. Created contextual intent classifiers to understand user conversations More ❯

AI Agents Solution Architect - Future Talent (Q2/Q3 opportunities) for leading GSI in the software engineering market AI Solution Architect to design and implement AI-driven agent solutions for the online commerce space. Deep understanding of AI/ML models, cloud computing, and scalable system architecture. This role requires expertise … in architecting intelligent agents, optimizing cloud-based deployments, and integrating AI services into enterprise applications. Key Responsibilities: Architect and design AI-powered agent solutions that integrate with enterprise systems and cloud platforms. Develop and optimize RESTful and GraphQL APIs to facilitate AI-driven interactions. Utilize AWS services (Lambda, S3, API Gateway, SageMaker, DynamoDB … ECS, etc.) to deploy scalable AI solutions. Implement Full Stack JavaScript (Node.js, React.js, Express, TypeScript, Next.js, etc.) applications to support AI-driven interfaces. Work closely with data scientists and ML engineers to integrate machine learning models into cloud-native applications. Ensure security, scalability, and reliability of AI agent solutions in production environments. Design event More ❯

What is Marker? Marker is an AI-native Word Processor - a reimagining of Google Docs and Microsoft Word. Join us in building the next generation of agentic AI assistants supporting serious writers in their work. We are a small, ambitious company using cutting-edge technology to give everybody writing superpowers. What you'll do at Marker … We are looking for an experienced engineer with interest in building and managing agentic AI systems. Here are some examples of areas you will be working in: Develop our bespoke agentic assistant execution platform (TypeScript) Build and integrate systems for retrieval, search, observability, multi-modal generation, and more Maintain model evaluation suites to optimise for quality, cost and … writing (fiction, non-fiction, essays) However, you are NOT expected to: Be an expert in AI, NLP, or Machine Learning Have solved every possible problem with agentic AI systems before - it's a new and rapidly evolving field, and we are discovering and solving novel problems every day Be experienced with every library and product in 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 ❯

DEPT/AI has a single mission: to make the best work in the industry using AI to enhance everything we do. This role sits within our EMEA Data & AI practice, which has deep expertise in leveraging AI. The team includes data strategists, consultants, data scientists and analysts that work alongside DEPT teams around … challenging problems facing some of the best loved brands in the world - and doing this alongside an experienced team. JOB PURPOSE We are seeking a talented and passionate AI Workflow Engineer to join our growing Data Science & AI team. As an AI Workflow Engineer, you will be responsible for building innovative proof-of-concepts … to convert them into production ready solutions that make media and marketing teams more efficient and effective in their internal workflows. You will bridge the gap between technical AI capabilities and practical business applications, using bespoke coding and modern low-code/no-code automation platforms in an ever changing marketing landscape. KEY RESPONSIBILITIES Design and build intelligent More ❯

About us At Sierra, we're building a platform to enable every company in the world to build their own autonomous AI agents for everything from customer service to commerce. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta and London. We are guided by a set of values that … Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you'll do Design and deliver production-grade AI agents : You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These … Cycle (ADLC) : You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. Partner with large enterprises and cutting-edge startups: You'll work directly with leaders at some More ❯

the Role We are seeking a passionate and experienced Technical Engineering Lead to join our extended team. This individual will play a crucial role in designing and implementing AI/LLM-powered agentic workflow solutions, working closely with our Product Lead, Stakeholders, and Specialists. Our application suite helps Publicis Groupe Performance experts drive holistic search, social, programmatic, and … to a suite of products with a significant roadmap of features to be developed. Your Impact This role blends deep technical expertise with leadership and a passion for AI/LLM-powered solutions. You will be designing the engines powering our platform's success while fostering the growth and expertise of your team. Your deep understanding of scalable … AI Own the technical roadmap for your team, aligning it with the overall product strategy and business objectives, ensuring alignment with the company's vision for agentic AI/LLM-powered workflows Design, develop, and implement robust and scalable agentic workflows utilizing LLMs and AI for various marketing applications, including: Automated content generation, optimization More ❯

Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing Machine Learning and AI at Trainline Machine learning is at the … heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our ML models power critical aspects of our platform, including: AI agents improving customer support Advanced search and recommendations capabilities across our mobile and web applications Pricing and routing optimisations to find the best fares for customers Personalised user experiences enhanced … by generative AI Data-driven digital marketing systems Our machine learning teams own the complete delivery lifecycle from ideation to production. We work closely with stakeholders across the business to expand the understanding and impact of machine learning and AI throughout Trainline. The Role We are looking for a MLOps Engineering Manager to join our team More ❯

About Lorikeet Lorikeet is the most powerful customer support AI for complex businesses like fintechs, healthtechs, marketplaces and delivery services. We're doing this by building ground up from the premise that most support responses should be automated with transparent, customizable AI, and that support teams should spend their time managing automation and engaging with complex … teams are freed from reactive support, we want to help them tackle what's next: providing personalized concierge services to their customers. To deliver this combination of powerful AI systems and well designed tooling we're leveraging Jamie's experience as an early member of Google's generative AI team and Steve's experience building for … same monthly updates we send to our investors because they're investors and owners too. On the technical cutting edge. With our users we're defining what an AI-first SaaS product looks like. No one has figured out what the UI/UX, capabilites and data models of an AI first company are - it's More ❯

applications in enterprise environments, following established SDLC standards. Build AI Agents - Create task-based, domain-specific, and orchestrator agents using modern multi-agent frameworks. Agentic AI Systems - Design and build core components of agentic AI systems, including memory, guardrails, orchestration, trace management, and tool marketplaces. System Integration - Integrate AI and … scalable data pipelines and infrastructure supporting AI apps and agents. Evals - Monitor and evaluate the performance of AI apps, agents, and the overall agentic AI system. Stakeholder Collaboration - Work closely with cross-functional teams, including project managers, platform engineers, data engineers, solution engineers, data scientists, and business stakeholders to define, design, and implement … Storage Accounts, App Insights, Key Vault, etc. GenAI Application Development - Experience in building GenAI applications with RAG, prompt/context engineering, embeddings, chat completions, and calling LLM APIs. Agentic AI Expertise - Strong understanding of agentic AI architecture, including LLMs, MCP, agent hierarchies, orchestration, evaluations, memory and trace setup. Languages - Proficiency in Python, SQL, ReAct (reasoning and More ❯