51 to 75 of 422 Remote/Hybrid AI Agents Jobs

Learning Engineer to join their team from August, supporting the delivery of an exciting Central Government programme helping to develop intelligent AI agents and machine learning capabilities that solve real-world business challenges. Contract Details: Duration: Initial 3-month contract (likely extension) Location: Fully Remote (UK) Rate … IR35: Inside IR35 Clearance: Active SC Clearance is essential You'll be responsible for: Designing and developing AI agents using modern LLM frameworks Building Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge sources Developing and deploying Machine Learning models for intelligent decision-making Integrating AI ...

Engineer to design, develop, and deploy AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and related technologies. The ideal candidate will have experience building scalable AI solutions, integrating foundation models, and optimizing AI systems … LLMs such as GPT, Claude, Gemini, Llama, and Mistral. Build and optimize RAG pipelines using vector databases and embedding models. Develop AI agents and multi-agent workflows using frameworks like LangChain, LangGraph, Semantic Kernel, CrewAI, or AutoGen. Fine-tune, evaluate, and monitor LLM performance for business ...

KOPA is hiring its first Lead Engineer - AI Agents to lead a new team building production-grade automations and AI agents across the business. You will own delivery, scale the function, and define its future. You\'ll work with Claude, Claude Code, MCP, LangChain ...

team at the forefront of AI adoption within the insurance sector. You will be responsible for building intelligent applications, AI agents and automation solutions that enhance decision-making, improve operational efficiency and unlock greater value from enterprise data. This role would suit a technically strong … working with emerging technologies, solving complex business challenges and delivering solutions at scale. Key Responsibilities Design, develop and deploy AI-powered applications, agents and intelligent workflows Build clean, maintainable and scalable code to support the delivery of enterprise AI solutions Develop end-to-end solutions ...

Automation Identify opportunities to automate processes and improve efficiency using AI Build, test, and deploy AI-driven workflows, automations, and agents Develop prompt frameworks, SOPs, and best practices for AI adoption Evaluate and implement new AI tools and platforms … Google Analytics/Cloud/digital marketing experience Understanding of SEO, GEO, or AI search optimisation Experience with AI agents or frameworks (OpenAI, LangChain, CrewAI) We're Looking For Someone Who Is Curious and entrepreneurial Hands-on and delivery focused Fast-moving and adaptable Commercially ...

Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role As an AI Tokenomics Managing Consultant, you will be responsible for leading the development, delivery and continual improvement of AI Tokenomics capabilities. They will help … understand, govern and optimise token-based AI consumption, connecting AI usage, cost, efficiency and business value across generative and agentic AI workloads. AI Tokenomics is an emerging extension of FinOps focused on the economics of AI consumption, where tokens ...

they are investing in the platform foundations that will carry their next phase of growth, including how enterprise customers, and increasingly AI agents, connect to it. The Role This is the product role that owns the core of the platform: the account, identity, and access layer that … audit, entitlements) that support the company’s move upmarket. A distinctive frontier of the role is extending identity and access to AI agents and machine identities, with modern authorisation patterns to match. You will sit within the product team as an individual contributor, reporting to a senior ...

Senior Azure AI Platform Engineer | Azure AI Foundry | C# | APIs Birmingham Hybrid (2-3 Days Per Week) | £65,000 - £75,000 + 10% Bonus + Excellent Benefits A leading wealth management and financial services organisation is looking to appoint a Senior Azure AI Platform … Engineer to help build and operationalise the next generation of AI-enabled services and platforms across the business. This is a hands-on engineering role focused on designing, building and supporting production-grade AI solutions within Microsoft Azure. You will play a key role in delivering ...

tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Join our AI Strategy team and be part of the future of AI consulting. We are redefining how organisations adopt and scale AI … YOUR ROLE This role sits at the intersection of strategy, innovation, and delivery, perfect for someone who thrives on solving complex problems. From Agentic AI in risk governance, to AI sovereignty in enterprise architecture, to enabling the AI-empowered workforce of tomorrow ...

Enterprise Architect (AI Architecture AgenticAI Agentic AI Claude Code Lovable Enterprise Architect Governance Policy Roadmap Strategy Databricks Snowflake AWS Bedrock Buy Side Buy-Side Asset Manager Investment Hedge Fund Wealth Banking Finance Financial Services) required by our asset manager client in London. You MUST have … adoption roadmap/target state Experience integrating AI with enterprise data platforms like Databricks and Snowflake LangChain and/or LangGraph Agentic AI tooling The following is DESIRABLE, not essential: Finance AWS Bedrock Asset management/investment management Role: Enterprise Architect (AI Architecture AgenticAI ...

inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. AI Programme Manager – Capital Markets Location: London (Hybrid) | Practice Area: Capital Markets | Type: Permanent Lead complex AI transformation programmes across global Capital Markets … delivery approaches, and enterprise transformation delivery within highly regulated financial institutions. Good understanding of AI technologies, including Generative AI, Agentic AI, intelligent automation, enterprise AI platforms, and the governance, operational, and regulatory considerations associated with AI adoption at scale. Proven ...

Data & AI Product Owner £90,000 + Bonus - London (Hybrid Working, 3 days in office) We are partnering with a leading organisation undergoing a significant digital transformation programme with substantial investment in Data, Analytics, Automation and Artificial Intelligence capabilities. Due to continued growth within its Data & AI … AI-focused products. Understanding of Agile delivery methodologies, including Scrum and Kanban. Knowledge of Generative AI, AI agents, Machine Learning or automation use cases. Understanding of data modelling, semantic models, self-service analytics and data governance principles. What's on Offer Salary ...

application of Generative AI to modernise legacy systems and improve engineering productivity. Build APIs and services that enable AI agents to interact safely and effectively with our platforms. Help develop internal tooling that supports AI-native software development practices. Collaborate with engineers, architects … already have demonstrable exposure to – as well as a genuine interest in: Large Language Model (LLM) integration and prompt engineering AI agents and agent orchestration Retrieval-Augmented Generation (RAG) AI observability, experimentation and model evaluation Experience with cloud platforms, APIs, distributed systems and modern software ...

that transformation, building advanced agentic products that solve high-value problems. You will act as a product owner for the AI agents you create, turning them into reusable applications that solve concrete customer problems at scale in the financial crime or credit risk space. … Reusable AI Products: Act as the product owner for your application area. Design, develop, and deploy robust, repeatable Generative AI agents that serve as configurable solutions for our customers. Drive Scalable Value: Partner with Solution and Forward Deployed Engineers during critical sales and implementation projects ...

Senior Manager,Microsoft AI & Data Client Solutions Lead, TC UKI Location: London Other locations: Primary Location Only Date: 21 Jul 2026 Requisition ID: 1720103 At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse … focussed AI and data programmes including Microsoft AI and Data solutions with a specific focus on architecting and building Agentic AI solutions using Microsoft Copilot, Copilot Studio, Azure AI Foundry, Azure OpenAI, Azure AI Search, Microsoft Fabric, Power Platform ...

AI Architect Up to £115,000 + Bonus - London (Hybrid) We are seeking an AI Architect to join a leading global consultancy that helps organisations unlock value through artificial intelligence, data and digital transformation. The business partners with some of the world's most recognised brands … deliver innovative AI solutions that improve customer experiences, optimise operations and accelerate business growth. As an AI Architect, you will play a key role in shaping and delivering enterprise-scale AI solutions, helping clients move from strategy and proof of concept through to deployment. ...

Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. … driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents ...

Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. … driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents ...

based on accuracy, latency and cost, and spotting high-ROI use cases in Corporate IT (productivity, collaboration, automation). Knowledge/experience with agentic AI and the model context protocol (MCP) for secure, standardised connections between AI agents and enterprise systems/tools. Additional nice … haves: Advanced techniques: model distillation, federated learning, autonomous agents or multi agent systems. Experience with AI ethics, governance, bias detection and responsible AI practices for high compliance environments. Hands on skills with vector databases and RAG pipelines across enterprise data. Minimum requirements for this post ...

.An 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. … 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 ...

enhanced reasoning, predictive analytics, KPI models, fault correlation models, and closed-loop decision support capabilities. Key Responsibilities Design and develop LLM-based and agentic AI solutions for autonomous network operations. Build RAG frameworks using network documentation, alarms, topology, inventory, KPIs, trouble tickets, procedures, configuration data, and operational knowledge. … AI/ML engineering, data engineering, software engineering, or applied machine learning. Hands-on experience with LLMs, RAG, semantic search, or agentic AI systems. Strong Python programming skills. Experience with ML fundamentals, deep learning concepts, embeddings, transformers, and LLM architectures. Experience using LangChain, LangGraph, LlamaIndex, AutoGen ...

collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing … AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks ...

collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing … AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks ...

collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing … AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks ...

collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing … AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks ...