26 to 37 of 37 Conversational AI Jobs in London

frameworks like LangChain or LlamaIndex. Familiarity with tools for working with Large Language Models via API or in a local context (e.g. HuggingFace transformers). Practical experience using managed AI services and foundation models from a major cloud provider (e.g., Amazon Bedrock, Google Vertex AI, Azure AI Services). Experience with a major conversational AI … solid understanding of core Python ML libraries (Keras, scikit-learn, Pandas) and deep learning frameworks (TensorFlow, PyTorch). Desirable (but not essential) experience: Working with tools/interfaces for AI applications e.g. MCP protocol. Training traditional ML and DL models using tools like Axolotl, LoRA, or QLoRA. Experience with multi-agent orchestration frameworks (LangGraph, AutoGen, CrewAI) Experience with observability … and evaluation tools for LLMs such as TruLens or Helicone. Experience with AI safety and reliability frameworks like Guardrails AI. More ❯

Salary) We’re working with a major UK government initiative that’s shaping the future of how citizens interact with public services. The programme focuses on harnessing the latest AI technologies to deliver simpler, faster, and more efficient digital experiences across departments. We’re looking for an experienced Cloud & DevOps Engineer to join the AI Customer Experience team … a multidisciplinary group driving innovation in Generative AI, conversational interfaces, and automation. You’ll design, build, and manage the infrastructure that powers large-scale AI services and agentic workflows across government systems. Key Responsibilities Design and provision secure, scalable cloud infrastructure (AWS, Azure, or GCP) using Python-based Infrastructure as Code (Terraform or Pulumi). Build and … optimise CI/CD pipelines to automate the deployment of AI applications and models (MLOps/LLMOps). Containerise workloads using Docker and manage deployments through Kubernetes (KubeRay, Kubeflow, MLRun, or similar). Provision and manage the infrastructure required to run AI workloads, including vector databases and hyperscaler AI services. Develop automation scripts in Python to streamline More ❯

Salary) We’re working with a major UK government initiative that’s shaping the future of how citizens interact with public services. The programme focuses on harnessing the latest AI technologies to deliver simpler, faster, and more efficient digital experiences across departments. We’re looking for an experienced Cloud & DevOps Engineer to join the AI Customer Experience team … a multidisciplinary group driving innovation in Generative AI, conversational interfaces, and automation. You’ll design, build, and manage the infrastructure that powers large-scale AI services and agentic workflows across government systems. Key Responsibilities Design and provision secure, scalable cloud infrastructure (AWS, Azure, or GCP) using Python-based Infrastructure as Code (Terraform or Pulumi). Build and … optimise CI/CD pipelines to automate the deployment of AI applications and models (MLOps/LLMOps). Containerise workloads using Docker and manage deployments through Kubernetes (KubeRay, Kubeflow, MLRun, or similar). Provision and manage the infrastructure required to run AI workloads, including vector databases and hyperscaler AI services. Develop automation scripts in Python to streamline More ❯

s leading telecommunications companies. Our mission is to restore trust in voice communication by building a network-native intelligence layer to combat the global epidemic of voice fraud and AI-driven scams. This is a rare opportunity to be a foundational hire, shaping the future of a product designed to protect hundreds of millions of users. We are building … two core products: the Telco-Verified Security Shield (our primary, pre-call fraud detection) and the Personal Welcome Manager (our premium, AI-powered call screening experience). As the Senior Android Engineer for the Welcome Manager, you are the User-Facing Owner of our AI innovation showcase. This isn't just another UI/UX role; you will … be the primary architect of a novel conversational interface. Your challenge is to build the magic: the live transcription, the mid-call intervention, the post-call summaries, that defines our premium user experience. You will own the app that we will showcase to the world at Mobile World Congress (MWC) 2026, and your work will be the primary driver More ❯

industries. This role combines technical expertise, consultative solutioning, and client engagement to help customers modernise their end-user environments through EUC modernization, Device-as-a-Service (DaaS), automation, and AI-driven employee experience platforms . You will collaborate closely with the sales, delivery, and engineering teams to build technically sound, cost-effective, and scalable solutions — covering device lifecycle management … ServiceNow workflows, smart lockers & vending automation, field support operations (FSO), TechBar setups, DEX analytics, and conversational AI agents. Key Responsibilities 1. Solution Design & Architecture Lead technical presales efforts for EUC, DaaS, and Digital Workplace solutions. Design device lifecycle management frameworks — from procurement to retirement (IMACD, asset management, patching, disposal). Architect DaaS models incorporating OEM/vendor ecosystems … solution rollouts — defining capacity, technology stack, staffing, and user experience models. Incorporate DEX (Digital Employee Experience) metrics and analytics tools (e.g., Nexthink, Lakeside, Aternity) into proposals. Develop automation and AI agent use cases using chatbots, ServiceNow Virtual Agent, and custom LLM-based assistants for IT support automation. 2. Presales Engagement & Bid Support Partner with account managers and solution architects More ❯

industries. This role combines technical expertise, consultative solutioning, and client engagement to help customers modernise their end-user environments through EUC modernization, Device-as-a-Service (DaaS), automation, and AI-driven employee experience platforms . You will collaborate closely with the sales, delivery, and engineering teams to build technically sound, cost-effective, and scalable solutions — covering device lifecycle management … ServiceNow workflows, smart lockers & vending automation, field support operations (FSO), TechBar setups, DEX analytics, and conversational AI agents. Key Responsibilities 1. Solution Design & Architecture Lead technical presales efforts for EUC, DaaS, and Digital Workplace solutions. Design device lifecycle management frameworks — from procurement to retirement (IMACD, asset management, patching, disposal). Architect DaaS models incorporating OEM/vendor ecosystems … solution rollouts — defining capacity, technology stack, staffing, and user experience models. Incorporate DEX (Digital Employee Experience) metrics and analytics tools (e.g., Nexthink, Lakeside, Aternity) into proposals. Develop automation and AI agent use cases using chatbots, ServiceNow Virtual Agent, and custom LLM-based assistants for IT support automation. 2. Presales Engagement & Bid Support Partner with account managers and solution architects More ❯

Role: Software Engineer - Conversational AI (Python) Location: London - Hybrid Compensation: £150,000 - £300,00 We’re working with a AI company delivering AI voice agents to major brands. We need engineers who can move quickly, own production systems, and partner with customers to deliver measurable improvements. Key requirements 2+ years industry experience; Python required. Experience with More ❯

Role: Software Engineer - Conversational AI (Python) Location: London - Hybrid Compensation: £150,000 - £300,00 We’re working with a AI company delivering AI voice agents to major brands. We need engineers who can move quickly, own production systems, and partner with customers to deliver measurable improvements. Key requirements 2+ years industry experience; Python required. Experience with More ❯

or Edinburgh preferred)?? Duration: 6-12 months? Day Rate: Competitive via Umbrella A leading global bank is seeking a skilled Data Engineer to join its next-generation data and AI transformation programme. This contract role offers the chance to work on high-impact initiatives, including powering intelligent chatbots and AI-driven analytics across the organisation. Key Responsibilities: Design … build, and maintain scalable ETL data pipelines to support AI, chatbot, and analytics use cases. Collaborate with data scientists, ML engineers, and product teams to deliver clean, reliable data for model training and real-time inference. Enable chatbot platforms by integrating structured and unstructured data sources for conversational AI applications. Develop and maintain Tableau dashboards to support … Airflow, Informatica, or similar. Advanced SQL skills and experience with large-scale relational and cloud-based databases. Hands-on experience with Tableau for data visualisation and dashboarding. Exposure to AI/ML environments , including data preparation for chatbot training and deployment. Familiarity with chatbot frameworks is a plus Experience with cloud platforms (AWS, GCP, or Azure) and modern data More ❯

Agent Software Engineer | Series C AI Scale-Up | Onsite, London (5 days/week) A Series C conversational AI scale-up backed by leading investors (including Bain Capital Ventures, Accel, and a16z) is expanding into London, joining existing offices in San Francisco and New York. Their platform enables major global brands to deliver human-like customer experiences … an Agent Software Engineer to join the London-based Agent Engineering team. You’ll work directly with customers, taking full ownership of the design, build, and deployment of production AI agents that support complex real-world use cases. The position includes customer interaction and full deployment engineering (FDE) elements. What you’ll do: Design, build, and deploy AI More ❯

on cutting-edge Research & Development. As innovators in speech technology, our mission is to Understand Every Voice-a vision that has propelled us to be world leaders of Voice AI, with STT, TTS, and Flow; our brand new Conversational AI platform. Fuelled by innovation, inclusivity, and a passion for making a global impact through world-leading Speech … AI, we're looking for an experienced Machine Learning Engineer to accelerate our efforts towards exceptional speech solutions. Our Modelling Team trains diverse models, including large self-supervised ones, supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best … to improve the efficiency, effectiveness, and best practices across all of our machine learning teams. Set a forward-thinking vision for Speechmatics' business as a world leader in Voice AI; with your passion and understanding of the latest machine learning developments, you will influence our product and technical direction. Grow the engineers around you through mentorship and support, ensuring More ❯

Base + £28,000 On-Target Earnings) Our client a rapidly expanding, innovative business dedicated to democratising software creation across industries . Our organisation is an innovative, next-generation, AI-native app platform that empowers anyone, regardless of technical skill, to build custom applications on top of shared data. Trusted by over 500,000 organisations , including 80% of the … we help teams streamline their most critical and unique workflows, ranging from recruitment pipelines and marketing campaigns to product roadmaps. Our platform leverages a 'Connected Apps' structure and a conversational AI assistant, Omni, enabling businesses to connect people and data, move with agility, and scale with enterprise-grade governance. We are a fast-growing technology leader, founded in More ❯