1 to 25 of 932 AI Agents Jobs in the UK

Lead Software Engineer - Agentic AI development Join to apply for the Lead Software Engineer - Agentic AI development role at JPMorganChase Lead Software Engineer - Agentic AI development 4 days ago Be among the first 25 applicants Join to apply for the Lead Software Engineer - Agentic AI development role at JPMorganChase Job Description We … solutions across multiple technical areas within various business functions in support of the firm’s business objectives. The test engineering team is at the forefront of innovation, developing intelligent agents powered by top foundational models to enhance the development and testing experience for our teams and partners. We build solutions that automate quality workflows, accelerate debugging, and enable smarter … or other distributed training frameworks. In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods. Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc. Experience working with More ❯

Lead Software Engineer - Agentic AI development Lead Software Engineer - Agentic AI development Job Description We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the AI and Machine Learning Data Platform Team, you … solutions across multiple technical areas within various business functions in support of the firm's business objectives. The test engineering team is at the forefront of innovation, developing intelligent agents powered by top foundational models to enhance the development and testing experience for our teams and partners. We build solutions that automate quality workflows, accelerate debugging, and enable smarter … or other distributed training frameworks. In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods. Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc. Experience working with More ❯

Lead Software Engineer - Agentic AI development Lead Software Engineer - Agentic AI development Job Description We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the AI and Machine Learning Data Platform Team, you … solutions across multiple technical areas within various business functions in support of the firm's business objectives. The test engineering team is at the forefront of innovation, developing intelligent agents powered by top foundational models to enhance the development and testing experience for our teams and partners. We build solutions that automate quality workflows, accelerate debugging, and enable smarter … or other distributed training frameworks. In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods. Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc. Experience working with More ❯

to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the AI and Machine Learning Data Platform Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a … solutions across multiple technical areas within various business functions in support of the firm's business objectives. The test engineering team is at the forefront of innovation, developing intelligent agents powered by top foundational models to enhance the development and testing experience for our teams and partners. We build solutions that automate quality workflows, accelerate debugging, and enable smarter … or other distributed training frameworks. In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods. Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc. Experience working with More ❯

to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the AI and Machine Learning Data Platform Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a … solutions across multiple technical areas within various business functions in support of the firm's business objectives. The test engineering team is at the forefront of innovation, developing intelligent agents powered by top foundational models to enhance the development and testing experience for our teams and partners. We build solutions that automate quality workflows, accelerate debugging, and enable smarter … with Ray, MLFlow, or other distributed training frameworks. Understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Deep knowledge of Large Model (LLM) techniques, including Agents, Planning, and Reasoning. Experience deploying ML models on cloud platforms such as AWS, Sagemaker, EKS, etc. Experience with large-scale MLOps pipelines and deploying models to production services. About More ❯

to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the AI and Machine Learning Data Platform Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a … solutions across multiple technical areas within various business functions in support of the firm's business objectives. The test engineering team is at the forefront of innovation, developing intelligent agents powered by top foundational models to enhance the development and testing experience for our teams and partners. We build solutions that automate quality workflows, accelerate debugging, and enable smarter … with Ray, MLFlow, and/or other distributed training frameworks. Understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Deep knowledge of LLM techniques, including Agents, Planning, Reasoning. Experience deploying ML models on cloud platforms like AWS, Sagemaker, EKS. Experience with large-scale MLOps pipelines and deploying models to production. About Us J.P. Morgan is More ❯

will be addressing significant challenges in the financial services sector and creating substantial impact. You will have the opportunity to work alongside industry leaders and contribute to pioneering AI/ML capabilities that solidify JPMC's industry leadership. Your crucial role in the LLM Suite within the AMDP team will involve transforming early-stage code into production-ready … solutions and developing innovative AI/ML solutions using public cloud architecture. You will also collaborate with cross-functional teams to integrate generative AI into various applications and products. Job Responsibilities: Develop innovative AI/ML solutions and agentic systems for the LLM Suite platform using Azure, AWS, and AI Agentic frameworks. More ❯

days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Job Description Join JPMorganChase, a global leader in financial services, as we revolutionize our operations with artificial intelligence and machine learning. As a Software Engineer III at JPMorgan Chase within the AIML and Data Platforms (AMDP) team, you will … be addressing significant challenges in the financial services sector and creating substantial impact. You will have the opportunity to work alongside industry leaders and contribute to pioneering AI/ML capabilities that solidify JPMC's industry leadership. Your crucial role in the LLM Suite within the AMDP team will involve transforming early-stage code into production-ready solutions … and developing innovative AI/ML solutions using public cloud architecture. You will also collaborate with cross-functional teams to integrate generative AI into various applications and products. Job Responsibilities Develop innovative AI/ML solutions and agentic systems for the LLM Suite platform using Azure, AWS, and AI Agentic frameworks. Integrate 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 ❯

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 ❯

Job Description Aventis Solutions has partnered with a fast-growing British tech team seeking a series of AI/ML Engineers, including Senior, Principal & Team Leads, to build scalable, production-grade AI systems and help shape a forward-thinking machine learning and engineering capability. This is your opportunity to work in an elite innovation team, surrounded … by cutting-edge tools and backed by the resources of a global tech leader. We're looking for a range of AI engineers, so if you have a strong background as a data scientist, a data engineer, or a full-stack software engineer, we'd like to hear from you. Key details: Salary : £65,000-£125,000 + … + private healthcare allowance + strong benefits package Location : London HQ + flexible hybrid working model (remote) Future Outlook : Long-term career progression toward Lead or Staff Engineer, AI/ML Enterprise Architect, or senior leadership positions. As the AI Innovation Lab grows, there will be ample opportunity to specialise in advanced areas such as LLM 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 ❯

will be addressing significant challenges in the financial services sector and creating substantial impact. You will have the opportunity to work alongside industry leaders and contribute to pioneering AI/ML capabilities that solidify JPMC's industry leadership. Your crucial role in the LLM Suite within the AMDP team will involve transforming early-stage code into production-ready … solutions and developing innovative AI/ML solutions using public cloud architecture. You will also collaborate with cross-functional teams to integrate generative AI into various applications and products. Job Responsibilities: Develop innovative AI/ML solutions and agentic systems for the LLM Suite platform using Azure, AWS, and AI Agentic frameworks. 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 ❯

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 ❯

We’re ambitious. We’re growing. We’ve won awards. Are you looking to advance your career in a dynamic and fast-paced environment? We’re seeking an AI & Machine Learning Engineer to join our innovative technology and data teams. Working as an AI & Machine Learning Engineer you’ll be responsible for understanding and answering complex … business questions using advanced data and analytics techniques. You’ll be technically proficient in the end-to-end AI and machine learning model development lifecycle, with experience of prompt engineering, and a keen interest in keeping up with the rapidly evolving industry trends. Your role will include working closely with business stakeholders to create hypotheses, design and evaluate … , Generative AI, and Data Science, and implement them within an Agile framework. Technical Proficiency: You’ll be able to build models and AI Agents in tools such as Microsoft Azure, Data Bricks, Azure Open AI, and using prompt engineering. Collaborative Communication: You’ll possess strong collaboration and communication skills to ensure More ❯

development. The role is a technical expert driving hands-on development from prototyping to production ready systems. The role will focus on the design of complex AI agents, communication architectures for agents, and developing automated techniques for designing and evaluating agentic systems. On top of AI agentic systems, this role will also oversee traditional … The Role Involves This is a hand on role, expect a minimal of 80%-time spending on coding You will: Lead the design, development, and deployment of sophisticated agentic AI applications tailored to life sciences/health tech challenges. Develop automated techniques for designing and evaluating agentic systems Ideate, develop, and evaluate different tools for agents (e.g. … behaviour, prompting and building products with language models. Expert knowledge of Python and advanced ML/LLM frameworks (e.g., TensorFlow, PyTorch, LangChain, LlamaIndex, etc). Deep understanding of agentic AI concepts and frameworks (e.g., agentic design patterns, multi-agent systems, reinforcement learning) and their applications in healthcare. Previous experience of training (fine turn) large language models, hands on 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 ❯

meaningful impact. Our division focuses on evidence-based communications and education for healthcare professionals and payers. About the Role We are looking for a hands-on, production-minded AI Engineer to join our growing AI team. This is an exciting opportunity to develop and deploy generative AI and LLM-based applications at scale. You … data scientists, and product teams to bring advanced AI capabilities into real-world healthcare and life sciences applications. You'll be at the forefront of deploying agentic AI frameworks and LLM-powered features into production systems, designing AI infrastructure, and establishing best-in-class MLOps and LLMOps practices. Key Responsibilities Design, build, deploy, and … practices. Enthusiastic about improving human health and performance through cutting-edge AI. Preferable experience: Experience with Databricks MLOps and model registry tools. Experience fine-tuning LLMs. Background in agentic AI frameworks (e.g., LangGraph, AutoGen, CrewAI). Contributions to relevant open-source projects. Familiarity with monitoring/observability tools like Prometheus, Grafana, Sentry. What We Offer Competitive salary 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 ❯

Join to apply for the AI Engineer role at NiCE Join to apply for the AI Engineer role at NiCE At NICE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if … 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 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 ❯