726 to 750 of 1,901 AI Agents Jobs in London

remote-first , early-stage, and product-led . We're building mirrord, a Kubernetes development platform that lets developers and AI coding agents run code against a live cluster before it's deployed. The problem we solve is the wait. In any organization running microservices, checking whether … APIs, real schemas, and real traffic rather than mocks or a hand-maintained local stack. That matters more every month, because AI agents now write a large share of the code our customers ship. An agent generating code from static files is guessing at how the rest ...

techniques to business problems Design, run, and evaluate ML experiments using current tools and frameworks Work with large language models, AI agents, and related methods to enhance ML workflows Write production-quality code and own solutions from proof of concept to deployment Improve model accuracy, reliability … team environment Experience working with engineers, product managers, and ML practitioners Preferred Qualifications, Capabilities, and Skills: Experience with large language models, including agents, planning, or reasoning techniques Experience building and deploying ML models on cloud platforms Familiarity with AWS tools such as SageMaker, EKS, or similar services #J ...

strategic accounts. You'll lead a team of elite engineers who embed directly with Fortune 500 customers to ship deeply integrated AI agents—owning everything from agent design and evaluation to the backend services, data systems, and cloud infrastructure that make them production-ready. You'll partner … that let the team scale without losing intensity. Provide holistic technical oversight. Maintain a deep working understanding of every layer of what we ship—agents, models, evaluations, backend services, data pipelines, and cloud infrastructure—so you can review architectures, debug production issues, and raise the quality bar across every ...

operational challenges to discover and build tailored, domain-specific use cases . You will architect and prototype state-of-the-art AI and technical solutions on the Celonis platform, demonstrate their business impact to C-suite Executives, and ensure successful implementation, adoption, and value realization. Requirements Executive-Facing … Python proficiency, API design, SQL, data integration, and ML/AI libraries (PyTorch, TensorFlow, scikit-learn, XGBoost, Hugging Face Transformers). Agentic AI Systems: Hands-on experience with agentic AI setups including LLM orchestration, tool use/function calling, RAG, agents, prompt engineering ...

DevOps & Automation: Strong experience building YAML pipelines in Azure DevOps or GitHub Actions, including secrets management (Azure Key Vault) and automated environment provisioning AI Tooling & MCP: Hands-on experience or working knowledge of Model Context Protocol (MCP) architecture, agent orchestration frameworks (e.g., Semantic Kernel, AutoGen, LangChain … evaluation, automated testing, and release gating MCP Integration - Design, containerize, and deploy Model Context Protocol (MCP) servers and gateways to connect AI agents securely with enterprise databases and APIs Developer Enablement - Create reusable developer templates, local execution environments, and self-service IaC modules to streamline onboarding ...

CISO, data leadership and programme leads to identify the capabilities, controls, infrastructure, governance frameworks and investment required to support AI and agentic AI at scale. Establish pragmatic guardrails that enable appropriate use cases to progress whilst longer-term foundations are developed. Partner with client-facing, legal … firm's AI champions network. Set and maintain the frameworks through which the transformation operates, including pilot evaluation, scaling, agentic AI governance, business case assessment, vendor onboarding, benefits measurement, responsible use and AI risk management. Lead value measurement and executive reporting, providing the Steering ...

CISO, data leadership and programme leads to identify the capabilities, controls, infrastructure, governance frameworks and investment required to support AI and agentic AI at scale. Establish pragmatic guardrails that enable appropriate use cases to progress whilst longer-term foundations are developed. Partner with client-facing, legal … firm's AI champions network. Set and maintain the frameworks through which the transformation operates, including pilot evaluation, scaling, agentic AI governance, business case assessment, vendor onboarding, benefits measurement, responsible use and AI risk management. Lead value measurement and executive reporting, providing the Steering ...

automation being embedded to accelerate workflows, followed by structured validation and refinement using analytical judgement to maintain trusted conclusions. Operate alongside AI agents in recurring workflows. Prepare/review inputs, reconcile metrics, document assumptions/changes to ensure adherence to methodologies/standard operating procedures. Prepare/… credit/financial/risk analysis linking drivers to forward-looking views and risk appetite. Practical experience embedding AI/LLMs/agents into workflows to improve productivity and insight. Strong analytical tool capability; willingness to learn data/automation tools to facilitate AI-enabled ...

Data Science & AI Delivery Lead London Hybrid – minimum 3 days per week in the local office £90,000–£120,000 base + 15–20% target bonus We are looking for an experienced Data Science & AI Delivery Lead to join a major international organisation investing significantly … solutions , including RAG architectures, prompt engineering, vector search and integration with Azure AI services. Defining engineering approaches for LLM applications, agentic AI systems, machine learning solutions and AI platforms . Establishing strong MLOps practices covering model versioning, automated testing, deployment pipelines, monitoring, observability ...

RShiny, or Dash Experience building APIs Experience using enterprise data science tools Passion for teaching or public speaking Dataiku is the Platform for AI Success … enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise ...

/ML Specialism You will bring expert-level knowledge in at least one of the following domains, and working knowledge across the others: Agentic AI & LLM Engineering: Design and build production-grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers … proposal activity, including writing technical and delivery sections of responses to client tenders and RFPs. SME-level depth in at least one of: Agentic AI/LLM Engineering, Machine Learning Engineering or Software Engineering – with strong architecture and design capability across cloud, data and AI domains. ...

Finance, Operations, and CRM. You will be accountable not only for shipping the technology, but for the quality of the decisions it makes: building agents, prompts, and retrieval pipelines that business users can trust, and improving them over time through measurement and real-world feedback. The impact is direct … logic - triggers, retries, fallbacks, and human-in-the-loop patterns - so workflows run reliably, observably, and auditably. Develop and maintain the AI agents, prompts, retrieval pipelines, and decision logic that power those workflows. Own model behaviour in production: accuracy and usefulness, failure modes, and edge-case ...

natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword … areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences ...

Fosse is leading a major UK AI programme, seeking an AI Engineer to design, build and deploy AI agents that empower employees to access information, automate tasks and improve decision making. The role leverages a mature Microsoft data platform and governance models. Hybrid … working with one day per week in Central London offers high visibility and meaningful business impact as you deliver scalable AI solutions across the organisation. #J-18808-Ljbffr ...

Project description Development of AI-enabled solutions that support a signal-driven commercial intelligence platform connecting market insights, content creation, sales engagement, and client feedback. Responsibilities As a Frontend Engineer you will contribute to application design by utilizing industry best practices. You will implement new features … reviews, design documentation). At least basic backend skills (services, database). Fluency in AI technologies and experience utilizing AI agents to design, code, and test applications. Outstanding communication skills, ability to establish and maintain a close working relationship with distributed team members and business ...

units identify prospects, prioritize opportunities, retain accounts, and deliver differentiated customer experiences. A key part of the role is evaluating and integrating emerging AI capabilities — including LLM-powered features, AI agent frameworks, and MCP servers — to accelerate both internal tooling and customer touchpoints. You'll join … AI-powered capabilities: evaluating LLM APIs (such as Anthropic Claude or OpenAI), building MCP servers toexpose internal data to AI agents, and prototyping agentic workflows that automaterepetitive commercial processes. You'll investigate and resolve production bugs,optimize web portal performance and rendering efficiency, debug Lambda ...

working across business and technology teams to maximise the value of the Avaloq platform and deliver scalable solutions for leading financial institutions. As AI continues to reshape financial services, you'll be expected to embrace AI-enabled ways of working, using approved AI … client-facing delivery environments. Experience supporting AI transformation initiatives or embedding AI capabilities (including Generative AI, Agentic AI or intelligent automation) into business or technology delivery within financial services. Why Join CapcoDeliver high-impact technology solutions for Tier 1 financial institutions. Work ...

Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We're training and deploying frontier models for enterprises who are building AI systems. … AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. Why This Role? This role offers a unique opportunity to shape how enterprises harness the power of AI ...

Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. … AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. Why This Role? This role offers a unique opportunity to shape how enterprises harness the power of AI ...

Описание DeepL is a global AI product and research company focused on secure, intelligent solutions for complex business problems. Its Language AI platform provides human-like translation, improved writing, and real-time voice translation for individuals and businesses worldwide. Задачи Build and evolve data platform infrastructure … scale with DeepL’s data volume and use-case diversity Build connectors, interfaces, and integrations that bring data to humans and AI agents, including MCP connectors and workflow skills Design AI-powered data workflows for data engineers, analysts, business teams, and AI tools ...

engagement skills. A proactive mindset with a passion for delivering high-quality software. Desirable Skills Vertex AI Large Language Models (LLMs) Agentic AI Docker CI/CD Infrastructure as Code Microservices Event-driven architecture Technology Stack React TypeScript Node.js AWS Google Cloud Platform (GCP) Vertex AI … REST APIs Large Language Models (LLMs) Agentic AI Git CI/CD What's on Offer £120,000 - £160,000 base salary Equity package Hybrid working ( 3-4 days per week in the London office ) 30 days annual leave plus bank holidays Excellent benefits package Work on cutting ...

technical guidance that ensures data science performance, successful adoption and measurable outcomesExtend product capabilities by developing features and tools that support the broader AI deployment team and scale what's possible across engagementsPartner with the Braze Product team to refine and advance Braze's reinforcement learning algorithms, pushing … both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging ...

access layer for AI agents. Over two million developers use us, and our customers include Fortune 500 companies running agents in production. Vertical search is where we combine public sources with premium vertical data and shape the result into a product for a specific use case. This … works, and shipped something because of what you found. Experience in API‐first or developer‐platform businesses. Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows. A technical background, through a degree in computer science or engineering or equivalent hands ...

Future of AI in Financial Services at Ani Tech Ready to design and build the interfaces that bring the AI agents of the future to life? Join our growing team at Ani Tech where … craft the experiences that let financial professionals work seamlessly alongside autonomous AI systems. About Ani Tech We're pioneering agentic AI for financial services. Our flagship product, Ani, orchestrates teams of specialised AI workers that execute sophisticated workflows across portfolio analytics, financial planning ...

across mobile and web, to pricing and routing optimisation, personalised experiences enhanced by generative AI, data-driven marketing, and AI agents that support our customers. Our machine learning teams own the complete delivery lifecycle from ideation through to production, working closely with engineers, data scientists … communicating with stakeholders across technical and non-technical teamsIdeally, exposure to cloud infrastructure, NLP or large language models (such as fine-tuning, RAG or agents), graph technologies, or experience in the transport sector or with geographic information systems (GIS)More information: Enjoy fantastic perks like private healthcare & dental insurance ...