1 to 25 of 920 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

the entire model development lifecycle, with an emphasis on MLOps practices to ensure robust and scalable solutions. Additionally, expertise in Generative AI, LLMOps, and AI agents is required to drive advanced AI functionalities within our organization. Join our dynamic team and be part of a collaborative environment that fosters continuous learning and creativity. … to streamline model deployment and monitoring across various environments. Provide authoritative guidance on state-of-the-art algorithms, repositories, and GenAI techniques like prompt engineering, RAG, AI agents in Generative AI space (LLMs) & share your experience with optimisation techniques such as quantization and pruning to minimise training & inference requirements for models. Design and implement effective … experience in the full ML model development lifecycle, including design, deployment, and maintenance. Demonstrated experience with Generative AI technologies and LLMOps practices including in AI Agents and ideally in Agentic frameworks. Ability to work collaboratively in a fast-paced, innovative environment. Strong problem-solving skills and a passion for implementing cutting-edge AI 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 … and the ability to shape early-stage product ideas in fast-evolving domains. Strong foundation in NLP and GenAI, including experience with Transformers, LLMs, RAG (retrieval augmented generation) pipelines, agents, and model fine-tuning. Familiarity with search and recommendation systems, and how to build ML solutions that deliver relevance and value. A solid grasp of software engineering best practices More ❯

Workato Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility. Trusted by a community of 400,000 global customers, Workato empowers organizations of every … VP of Solutions Consulting EMEA and will play an integral role in creating a vision for our customers. It will also be the trusted advisor on Workato’s AI Agentic capabilities to provide thought leadership best practices and help scale and drive adoption to achieve its strategic initiatives. In order to be successful in this role, you must … and you will own the technical alignment with the customer during the pre-sales lifecycle through workshops and interactions that will define the customer’s future state for AI and Agentics. This is a role for the EMEA based role. Proximity to London/Berlin/Amsterdam is preferred. In this role, you will also be accountable to 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 ❯

the expected—with insight, integrity, and a passion for making things better. Role Overview We are looking for a Data Scientist with experience in RAG (Retrieval-Augmented Generation) , Agentic AI frameworks , and deep domain understanding of Finance/Savings platforms . This hybrid role (UK-based) is open to both Contract and Permanent arrangements. You will contribute to … bridges the gap between data, automation, and user experience. Key Responsibilities AI-Driven Architecture: Design and implement RAG pipelines that enhance platform intelligence and content retrieval Agentic AI Integration: Develop and fine-tune autonomous agents for workflow automation, intelligent decisioning, and user engagement Domain Modelling: Leverage understanding of CRM workflows and finance/savings data … in data science roles with platform/product experience 2+ years working on RAG implementations using tools like LangChain, LlamaIndex, or custom vector stores Experience building or deploying Agentic AI architectures (e.g., AutoGPT, CrewAI, OpenAgents) Strong grasp of CRM systems and finance/savings data (transaction flows, compliance, user segmentation, etc.) Technical Skills: Proficient in Python, SQL, and More ❯

Python Data Engineer - Glasgow (15927) Glasgow, Scotland Salary: PAYE Only Primary Responsibilities Develop tooling and self-service capabilities for deploying AI solutions for the firm. Collaborate with other developers to enhance the developer experience when building and deploying AI applications. Have a platform mindset and build common, reusable solutions to scale Generative AI use … and GitOps deployment methods to orchestrate, manage and deploy these workloads. Integrate with capabilities such as large-scale vector stores for embeddings. Author best practices on the Generative AI ecosystem, when to use which tools, available models such as GPT, Llama, Hugging Face etc. and libraries such as Langchain. Analyze, investigate, and implement GenAI solutions focusing on Agentic … SQL, Redis, Kafka, etc) for cloud app storage. Experience building AI applications, preferably Generative AI and LLM based apps. Deep understanding of AI agents, Agentic Orchestration, Multi-Agent Workflow Automation, along with hands-on experience in Agent Builder frameworks such Lang Chain and Lang Graph. Experience working with Generative AI development 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 ❯