1,526 to 1,550 of 2,625 AI Agents Jobs in the UK

Intelligent Automation Engineering Manager to lead a high-performing AI Enablement engineering team. You will drive delivery of AI agents, enablement platforms, and secure, governable integration with enterprise systems. Hybrid/remote work is available from London. You will partner with Product, Architecture, Security … Compliance to ensure measurable business outcomes and responsible AI adoption across the enterprise. #J-18808-Ljbffr ...

ship-ready delivery. The role emphasizes building the AI-native operating system for financial advice, combining client data models, AI agents for complex advice, and embedded compliance logic, with #J-18808-Ljbffr ...

seed-stage company is building agent-native risk infrastructure: risk management and trust building, delivered by AI agents, for a world increasingly run by them. Their agents sit on top of proprietary data and reassess continuously rather than at fixed checkpoints - so customers spend their time … Gridiron building) - in-person by default, flexibility for days that need it Daily team lunch, specialty coffee, roof terrace, on-site showers, serious AI tooling and API budgets Three-stage interview: behavioural phone screen, commercial-technical phone screen, paid on-site work trial - under two weeks from first ...

continents, our platform portfolio under the unified Concierto brand delivers end-to-end transformations including solutions for Migrate, Manage, Maximize, Modernize, Insights & Agentic AI, and SecOps - delivered through strategic partnerships with leading hyperscalers. We're building the premier innovation-led organization in the digital transformation space through AI … framework Data and AI platform: AWS Glue, Kinesis, Lake Formation, Bedrock, SageMaker — for integrated data platform and agentic AI roadmap phases Apply Azure/GCP knowledge to extend solution coverage on multi-cloud or Azure-primary or GCP-Primary client environments: Azure equivalents across application ...

future of agentic automation: UiPath is evolving from RPA to the worldʼs first Agentic Orchestration platform, enabling enterprises to deploy autonomous AI agents at scale. As part of this transformation, Peak (a UiPath company) is building new B2B agentic solutions that deliver immediate, measurable business value. Youʼll … solutions. As a Principal Product Manager for one of our supply chain and/or manufacturing agentic solution areas, youʼll define how applied AI and automation combine to create measurable value in complex B2B domains such as supply planning, commercial operations and inventory optimization. Youʼll join a high ...

CommonAI CIC is hiring a Software Engineer to work on Panopticon, a high-assurance AI framework designed … regulated sectors. The role focuses on building secure Rust components, enforcing governance, and integrating foundation models safely. You will leverage LLMs, AI agents, and cutting-edge tooling to accelerate development, implement robust validation pipelines, and collaborate with members to deliver production-ready software. #J-18808-Ljbffr ...

Data & AI platform, spanning data ingestion, governed data lake/lakehouse, data products, Knowledge Graph, Digital Twin data foundations, and Agentic AI platforms. The role requires an architect capable of shaping the complete data ecosystem rather than individual technology layers in isolation.In this role you will … platforms using BigQuery, Spanner Graph DB, Dataplex, Dataflow, Pub/Sub, BigLake and Cloud Storage.Develop architectures supporting GenAI, RAG, vector search, embeddings and Agentic AI platforms using Vertex AI and related technologiesDefine data models and integration patterns for Domain and Cross-Domain Digital Twins.Define integration patterns ...

expertise with meaningful business impact, we would love to hear from you. ----------------------------------------- Key Responsibilities Architect Agentic Solutions: Design enterprise cloud applications, specializing in agentic AI platform components (orchestration, memory, tool integration, identity, guardrails, observability) and emerging Agentic Commerce. Lead Clients & Drive Growth: Serve as an outward-facing, energetic … complex cloud architectures (esp. AWS serverless). Establish technical governance, design standards, and manage risk, non-functional requirements (NFRs), and technical debt. Agentic AI & Commerce Innovation: Design AWS-based agentic AI platforms (orchestration, RAG, memory, guardrails, and MCP). Establish reusable patterns. Internal Business Engagement: Build ...

selling to more than 10,000 companies. Behind them sits a CRM, an enrichment and signal stack, a growing set of AI agents - and a lot of manual work that no longer needs to exist. Your job is to remove it and to build the automated systems … standards the team builds to - version control, documentation, testing, and rollback. Build, hands-on Design and build in Clay: tables, waterfall enrichment, AI columns, webhooks and API integrations in production. Own the orchestration layer - the logic deciding which records enter a workflow, when, and on what criteria. This ...

vessels, cargo and schedules, so every company in the chain can work from data it can trust. On top of that, AI agents read the documents, watch the ships, predict what’s coming and make the calls people still make by hand today. … AI, data and real-world operations that almost nobody is building yet. We’re starting in maritime, the hardest place to get it right, and building it for any company to run on. If you want to build something that doesn’t exist yet, this is the place. ...

data models and schemas, data transport mechanisms, metadata management, lineage management, API schema design and enabling SIX financial information to be accessible to AI agents. What You Will Do Design, develop and maintain the technology-agnostic, business-aligned canonical/conceptual data models for Financial Information, defining class … design principles (REST, GraphQL) and schema evolution strategies for backward compatibility is essential. Direct experience of making data commercially available to AI agents is desirable. Fluent in English (both verbal & writing), German is a plus. It is essential that the person in this role is able ...

Agentic AI & Applied ML in London is seeking a Staff ML Engineer to drive production-grade AI/ML systems and adoption of agentic AI across engineering teams. The role focuses on robust architectures, governance and scalable deployment in a hybrid London environment. … will influence senior engineers, define standards, and enable capable AI/ML solutions to operate safely in production while leveraging LangChain/LangGraph and retrieval frameworks. #J-18808-Ljbffr ...

J.P. Morgan is hiring an Applied AI/ML Lead Engineer to design, build, and productionize Generative AI and Agentic AI solutions in a Python & Agentic AI team. You will develop GenAI/Agentic AI applications, integrate with tools … data, and ensure secure, reliable production services. The role emphasizes modern AI engineering workflows, MLOps, and scalable cloud deployments on AWS, using Java and/or Python, APIs, and CI/CD. Strong collaboration across stakeholders is essential. #J-18808-Ljbffr ...

opportunity and the chance to shape a career as unique as you. A little more about your role...Join WSP's newly established AI Accelerator team as an AI Engineer and be at the forefront of our global digital strategy. In this role, you will collaborate with … environments such as Azure. Experience with Azure based AI technologies such as Azure AI FoundryExperience working with LLMs and Agentic AI on real-world problems. Strong understanding of machine learning algorithms and natural language processing techniques. Strong inter-personal skills and ability to collaborate ...

target state — where AI can take work off their plate, and where the human touch matters — then build the systems and agents that get them there. This is a high-impact role for someone who loves working at the intersection of product, systems, AI … attribution, lead-to-quote, billing or customer lifecycle tools. Deep Salesforce fluency is a strong plus. Have built with modern AI tooling: agents, plugins or skills on top of LLMs, connectors to business systems, and evals that tell you whether an agent is good. You define KPIs ...

techniques and security trends Investigate how AI can enhance detection and security outcomes Develop prototypes, tooling and automation using Python Explore Agentic AI workflows and security use cases Work with engineering teams to translate research into product capabilities Design, test and validate new detection approaches Security … automation Understanding of threat detection, attacker TTPs and modern security operations Interest in AI, LLMs, Generative AI or Agentic AI Strong analytical and research mindset Security Researcher - Nice to Have MSc, PhD or research-focused academic background Published research, technical blogs or conference presentations ...

Pace is the AI operations partner for the world's leading insurers. We combine the speed of AI agents with expert review by our insurance operations team to automate insurance tasks. Almost $400bn per year is spent on outsourcing in financial services outsourcing every year. … some of the largest companies in the world. Role We’re looking for someone to own the rollout, success, and expansion of Pace’s agents at our largest insurance customers in London. Working directly with customers, you’ll lead deployments to ensure our agents drive measurable impact ...

combines data science, graph engineering, cybersecurity analytics, semantic modeling, and technical leadership to enable attack-path analysis, threat investigation, exposure prioritization, GraphRAG, and AI-assisted security operations. Key Responsibilities Design the Security Knowledge Graph architecture, ontology, taxonomy, entity model, relationship model, provenance model, and lifecycle standards. Build production … with cloud-native security and data services on Azure, AWS, or Google Cloud; enterprise graph platforms; modern lakehouse architectures; and security copilots or agentic AI patterns. Relevant certifications such as CISSP, CISM, GIAC, cloud security, cloud AI/data, or Neo4j Graph Data Science are advantageous ...

Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows … necessary. Docker does not offer visa sponsorship for this role. ______________________________________________________________________ Posting Information Open vacancy: This posting is for an existing open role. AI in hiring: Docker may use AI-assisted tools during our recruiting process. Interview recordings: Candidates will be invited to opt in to interview ...

combines data science, graph engineering, cybersecurity analytics, semantic modelling, and technical leadership to enable attack-path analysis, threat investigation, exposure prioritization, GraphRAG, and AI-assisted security operations. Key Responsibilities Design the Security Knowledge Graph architecture, ontology, taxonomy, entity model, relationship model, provenance model, and life cycle standards. Build … with cloud-native security and data services on Azure, AWS, or Google Cloud; enterprise graph platforms; modern lakehouse architectures; and security copilots or agentic AI patterns. Relevant certifications such as CISSP, CISM, GIAC, cloud security, cloud AI/data, or Neo4j Graph Data Science are advantageous ...

AI-driven process intelligence. You will partner with Account Executives to craft data-backed, technically credible solutions for enterprise clients deploying agentic AI at scale. You will lead technical discovery, build PoCs, design data models, and articulate ROI to C-level stakeholders, ensuring safe, trusted deployment … AI agents and scalable services delivery. #J-18808-Ljbffr ...

leaders, product development & engineering teams across the deal lifecycle. This role sits at the heart of EQT's ambition to become the leading AI-centric investment organisation. About the Team The Investment Value Stream (IVS) is the product and technology function supporting EQT's investment organization, covering … origination, research, diligence, Committee processes, deal management & relationship management workflows. This also includes knowledge and intelligence layers, supported by many AI agents, enterprise systems, data platforms, contracts & vendor relationships. Strong value-based alignment with EQT's stakeholder groups is essential throughout. What You'll Do Own product ...

Decagon is the leading conversational AI … platform empowering brands to deliver concierge customer experiences. On the Agent Engineering team, you’ll own end-to-end development of AI agents that scale to millions of users and directly influence Decagon’s growth. You’ll collaborate with leaders across finance, healthcare, and hospitality, tackle complex ...

design and deploy systems that detect and disrupt harm at an unprecedented global scale, making this one of the largest deployments of AI for positive real-world impact anywhere in the industry. Our work safeguards critical areas including child … youth safety, fraud and scams, identity and authenticity and more while actively building defenses against novel frontier threats, such as autonomous AI agents and automated risk vectors. This represents some of the most technically demanding and high-stakes engineering and product at Meta, driven by a deeply ...

Salesforce, Inc. seeks a Forward Deployed Engineer to design and deploy enterprise-grade agentic AI inside customer environments. You will build real-time data grounding systems, define agent reasoning and tool-calling logic, and connect AI agents to ERP systems and Salesforce Data Cloud. … will write production code and orchestrate multi-agent workflows from day one. The role requires hands-on AI grounding, API mastery, and the ability to work in an agile deployment pod with senior engineers #J-18808-Ljbffr ...