1 to 25 of 197 AI Agents Jobs in London

function. This is a hands-on Senior AI Automation Engineer role focused on designing, building and deploying production-grade AI agents, automated workflows and scalable integrations used directly by internal business teams.This role would suit someone who can combine strong Python engineering with practical AI … platform integration, helping to shape engineering standards while supporting the development of early-career engineers. Key Responsibilities Design and build AI agents and multistep workflows for internal tax and business use cases. Develop Python-based services, automation pipelines and production-grade applications. Integrate AI systems ...

function. This is a hands-on Senior AI Automation Engineer role focused on designing, building and deploying production-grade AI agents, automated workflows and scalable integrations used directly by internal business teams. This role would suit someone who can combine strong Python engineering with practical … platform integration, helping to shape engineering standards while supporting the development of early-career engineers. Key Responsibilities Design and build AI agents and multistep workflows for internal tax and business use cases. Develop Python-based services, automation pipelines and production-grade applications. Integrate AI systems ...

Python, APIs, Integrations, LLMs | £150k-£180k + Equity + Benefits A hypergrowth AI company is building enterprise-grade conversational AI agents used by some of the world's largest brands to automate and transform customer experience across voice, chat, email, and SMS. Backed … tier investors and scaling aggressively, they are now building a dedicated technical delivery function responsible for deploying AI agents into complex enterprise environments. This role sits at the intersection of engineering, AI workflows, and customer delivery, helping enterprise customers launch production-grade AI ...

environments Build and optimise Generative AI applications using Large Language Models (LLMs) Develop Retrieval Augmented Generation (RAG) architectures and AI agents Build speech-to-text, voice AI and accessibility-focused solutions Create intelligent chatbots, virtual assistants and conversational AI platforms Develop … rapidly evolving AI technologies Desirable Experience Voice AI solutions Speech Recognition technologies Accessibility-focused AI applications Agentic AI systems Multi-modal AI platforms MLOps and model monitoring Real-time AI inference systems Enterprise AI deployments Education ...

environments Build and optimise Generative AI applications using Large Language Models (LLMs) Develop Retrieval Augmented Generation (RAG) architectures and AI agents Build speech-to-text, voice AI and accessibility-focused solutions Create intelligent chatbots, virtual assistants and conversational AI platforms Develop … rapidly evolving AI technologies Desirable Experience Voice AI solutions Speech Recognition technologies Accessibility-focused AI applications Agentic AI systems Multi-modal AI platforms MLOps and model monitoring Real-time AI inference systems Enterprise AI deployments Education ...

capabilities, we are building a knowledge-centric architecture: one where data is not just stored and queried, but understood—by humans and agents alike. This requires a new kind of technical leader who can bridge the worlds of advanced data infrastructure and production AI systems. This … delivery of systems that make Bullish’s data not just accessible but intelligible— to business users through conversational analytics, and to AI agents through governed semantic and knowledge layers.The industry is at an inflection point. Google Cloud’s Agentic Data Cloud, BigQuery Graph, Knowledge Catalog ...

AI/ML solutions from development through to deployment and monitoring * Building scalable Generative AI and Agentic AI solutions, including RAG pipelines and orchestration frameworks * Implementing MLOps frameworks, governance and best practices * Translating business requirements into cloud-native AI and data architectures … engaging senior stakeholders * Proven experience designing and delivering AI/ML solutions at scale * Strong understanding of Generative AI, Agentic AI and modern AI engineering frameworks * Experience with at least one major cloud platform including Azure, AWS or GCP You need ...

Tech stack: Flexibility with technical background, provided candidate is fluent in modern technologies such as: Python Golang Modern JavaScript frameworks LLMs & AI Agents RAG & AI orchestration frameworks Must have strong AWS experience & high competence with Agentic coding tools This is an opportunity to help shape … What you'll be doing Building AI powered products and features from concept through to production Designing and developing AI agents that solve real business problems Working closely with product stakeholders to rapidly iterate and deliver value Using agentic development tools as a core part ...

AI Product Lead | London | £120,000 Method Resourcing are partnering with one of the UK's most prestigious private banks to appoint an AI Product Lead into a newly established AI function. Reporting into the Head of AI, this role will … Experience leading AI, Digital or Transformation initiatives within a complex organisation Strong understanding of Generative AI, AI Agents and emerging AI technologies Experience operating as a Product Manager, Product Owner, Transformation Lead or Consultant focused on AI-enabled change ...

early delivery phases Stay current on emerging AI technologies, enterprise adoption trends, governance considerations, and market developments Technical Focus Areas Agentic AI and enterprise LLM applications Retrieval-Augmented Generation (RAG) architectures AI agents and workflow orchestration AI solution architecture and systems … transformation Skills & Experience Experience delivering AI, data, or digital transformation solutions within a consulting or professional services environment Strong understanding of agentic AI, LLMs, and modern AI solution patterns Experience leading client-facing workshops, technical discovery sessions, and solution discussions Proven ability to shape ...

environments where data accuracy and platform reliability are critical Highly Desirable: Experience with GraphRAG patterns and graph-based semantic retrieval for AI agents Familiarity with SPARQL and RDF-based graph platforms alongside property graph experience AWS cloud architecture experience, particularly Neptune, Glue and Lambda Background in financial … models produced by the Ontology Engineer and makes them operational: designing and running the graph platform, pipelines, and integration layer that AI agents query and depend on. The Role: As Knowledge Graph Architect, you are responsible for the operational knowledge layer: the graph database, data pipelines, integration ...

Count on You To: Work closely/as part of the product squads to build, integrate, and deploy GenAI, multi-AI-Agents and data science solutions. Ensure sharing best practices and learnings with other squad members. Design and spearhead the development of Gen AI, AI … Work experience as a ML or AI engineer (5+ years) Prior experience developing production quality Python is essential Deep understanding of Agentic AI systems and multi-agent architectures Proficiency in machine learning and and deep learning algorithms such as Deep learning, NLP, Neural networks, multi-class ...

Engineering Manager to lead the design, delivery, and scale of enterprise-grade AI engineering strategy and capabilities, with a focus on agentic AI systems, cloud-native architectures, and responsible AI deployment. This role operates as a player-coach, combining hands-on engineering leadership with … solutions, and embedding security, governance, and reliability into all AI workloads. This role will include:- AI Platform Engineering & Delivery Agentic AI & Orchestration AI Security, Safety & Governance Cloud & Infrastructure Engineering Leadership & Team Development Stakeholder Engagement & Strategy To be successful in this role ...

engineering role with leadership responsibility, focused on building and scaling AI-powered products and services using Generative AI, Agentic AI, and modern AI engineering practices. You'll work closely with engineering, platform, data, and product teams to design, develop, and deploy production … experience. The role You will: Design and build scalable AI and GenAI solutions within Azure cloud environments Develop intelligent workflows and agentic AI capabilities using modern orchestration frameworks Build and maintain AI services, APIs, and backend integrations Work closely with Data Engineers, Platform Engineers ...

closely with business stakeholders to understand requirements, define use cases and communicate technical concepts to non-technical audiences. Build and implement AI agents within Azure to automate business processes and improve operational efficiency. Deliver document intelligence solutions using Azure AI services, including document management … environments. Strong background in software engineering, with the ability to work hands-on throughout the development lifecycle. Experience building and deploying AI agents into production environments. Extensive experience working with Microsoft technologies, including: Azure AI Services Azure AI Foundry Microsoft Copilot technologies Azure ...

calibre team of Data Scientists, fostering a culture of rapid experimentation, technical excellence, and continuous learning. Drive innovation in Generative AI, Agentic AI, deep learning, and large‐scale ML deployment—staying ahead of the curve on foundational models, LLMs, and autonomous agents. Champion MLOps best practices … modern AI. Deep expertise in ML algorithms, neural networks, large‐scale architectures, and modern frameworks. Hands‐on experience with Generative AI, Agentic AI, LLMs, foundation models, and large‐scale inference. Strong engineering fundamentals. Proficiency in Python and SQL. Experience building production‐grade ML systems. Familiarity with ...

AI Engineer Salary: Up to £85,000 + Bonus + Benefits Location: Hybrid - 3 days per week onsite in Central London Working Hours: Full time - Monday to Friday We are recruiting multiple AI Engineers to join a global organisation investing heavily in AI, automation … AI Engineer: Develop and deploy AI powered applications, services and APIs Build solutions using Generative AI, Agentic AI and machine learning techniques Design and optimise RAG pipelines, vector search solutions and AI workflows Integrate AI capabilities into existing ...

automation opportunities. Facilitate discovery workshops and requirements-gathering sessions to understand business challenges and define solutions. Design, develop and deploy AI agents, automation workflows and intelligent business solutions. Build solutions using Python, LLM frameworks and AI productivity tools. Collaborate with technical teams on infrastructure-related … technical delivery. Strong experience with Python and LLM agent frameworks such as LangChain, CrewAI, LlamaIndex or similar. Experience designing and implementing AI agents, automation workflows and AI-powered business solutions. Strong understanding of prompt engineering, Retrieval-Augmented Generation (RAG), tool/function calling ...

opportunity to step into a genuinely high-impact leadership role at the forefront of AI transformation, with a particular focus on agentic AI and autonomous systems. As Head of Engineering (AI Enablement),you’llshape how intelligent agents are designed, orchestrated, and deployed across … environment where your influence will extend well beyond engineering. Partnering with senior leaders across engineering, product, and transformation,you’lldrive alignment on how agentic AI is embedded across key platforms and workflows. This is a role for someone who thrives on both technical depth and organisational impact-someone ...

training and development opportunities. What you'll be doing: Contributing to the development and delivery of AI solutions and AI agents, ensuring outcomes meet time, cost and quality expectations. Designing, building and improving autonomous and conversational agents using modern AI and agent … languages used in AI engineering. Hands-on experience with AI and agent frameworks such as Microsoft Copilot, Copilot Studio, Autogen Agents, Amazon Q, LangChain, LangGraph or similar platforms. The ability to analyse, evaluate and optimise agent behaviour and AI system performance. Experience delivering ...

Role You'll architect and build the core infrastructure of the Numinous platform. This is the backbone that allows autonomous AI agents to ingest data, reason, compete, and forecast. This isn't gluing APIs together. You'll be designing the systems that score, rank, and incentivise AI … forecasting agents in live, competitive environments. Day to day, you're deep in backend architecture, building production-grade agent orchestration, designing data pipelines, and solving problems at the intersection of software engineering and quantitative forecasting. You'll work directly with the founders. There are no layers between ...

Principal AI Platform Engineer UBDS Group delivers modern cloud, data and AI solutions across public and private sector organisations. We design and build scalable, secure and production‐ready platforms that solve real‐world problems and deliver measurable outcomes. We’re looking for a Principal AI … ecosystems: Amazon Bedrock and SageMaker Claude/Anthropic Azure AI Foundry or Azure OpenAI Databricks Vector databases and RAG architectures Agentic AI orchestration frameworks and MCP servers Model and data lifecycle management Desirable Experience Experience working within public sector or regulated environments Experience with secure government ...

Lead AI Engineer Location: Hybrid - London (Flexible) Salary: from £80,000 + bonus + benefits Contract: Permanent, Full-time About the Company We're partnering with a growing technology-focused business investing heavily in AI, automation, and next-generation digital platforms. The company is building AI … monitoring, and logging Comfortable operating in fast-paced, product-led environments Nice to Have Experience with RAG pipelines, vector databases, or AI agents Exposure to machine learning workflows and applied AI systems Experience building internal AI platforms, copilots, or automation tools Startup ...

London – In-Office – Up to £200k Base + Equity We’re supporting a category-leading AI organisation building next-generation conversational agents used by major global brands. Their platform powers intelligent, human-like interactions across chat, email and voice, resolving millions of customer queries in real time … enterprise scale. You would join a high-impact engineering team responsible for deploying production-grade AI agents that sit at the core of the product. These agents handle complex, multi-step customer journeys, work alongside human support teams, and directly influence customer experience, retention and revenue. ...

embedded builder-consultant who partners with business units to identify AI automation opportunities and builds them. You will lead discovery, develop agents, own deployment, and drive adoption across the organisation. This is not a strategy-only role; you will be building and shipping solutions alongside stakeholders. Working … high-impact AI and automation opportunities Lead discovery and scoping sessions, then build the solution yourself Design and develop AI agents and workflows using Python and LLM frameworks Work with the AI Deployment Engineer to hand off anything requiring deep infrastructure Own post ...