26 to 50 of 56 Conversational AI Jobs in the UK

There’s a lot of noise around AI right now. Everyone’s talking about it. Few are actually doing it — properly, at enterprise scale. This company is one of the few that are. They’re a leader in Customer Experience Transformation, helping some of the world’s biggest brands turn their AI and automation ambitions into real, measurable … role — shaping what’s possible for clients and helping them take that first step into intelligent CX transformation. You’ll: Lead discovery sessions with new prospects to uncover real AI and automation opportunities. Design and validate scalable AI architectures — secure, commercially viable, and easy to sell. Present solutions that translate technical capability into business outcomes that make sense. … clients trust to know what works. Mentor and guide others as the market evolves (fast). What You’ll Bring A track record of selling into technical environments — ideally AI, automation, or cloud infrastructure. Real understanding of Conversational AI, Generative AI, and Agentic AI frameworks. Hands-on familiarity with tools like Genesys, NICE, Amazon Connect More ❯

There’s a lot of noise around AI right now. Everyone’s talking about it. Few are actually doing it — properly, at enterprise scale. This company is one of the few that are. They’re a leader in Customer Experience Transformation, helping some of the world’s biggest brands turn their AI and automation ambitions into real, measurable … role — shaping what’s possible for clients and helping them take that first step into intelligent CX transformation. You’ll: Lead discovery sessions with new prospects to uncover real AI and automation opportunities. Design and validate scalable AI architectures — secure, commercially viable, and easy to sell. Present solutions that translate technical capability into business outcomes that make sense. … clients trust to know what works. Mentor and guide others as the market evolves (fast). What You’ll Bring A track record of selling into technical environments — ideally AI, automation, or cloud infrastructure. Real understanding of Conversational AI, Generative AI, and Agentic AI frameworks. Hands-on familiarity with tools like Genesys, NICE, Amazon Connect More ❯

Senior Backend Engineer (Application & AI Orchestration) Overview We are seeking a deeply technical and security-minded Senior Backend Engineer to join a newly-founded, high-impact AI joint venture. Backed by five of the world's leading telecommunications giants, our mission is to restore trust in global voice communication. Our mission is to restore trust in voice communication … by building a network-native intelligence layer to stop fraud and create a new category of secure, AI-powered user experiences. We are a “Phase 2” company, meaning we are building the foundational engineering team that will define our culture and our success. This role is the Core Logic Owner for our flagship AI experience: the Personal Welcome … Manager. While our Security Shield product leverages unique, pre-call telco data to provide sub-500ms trust indicators, the Welcome Manager is our AI innovation showcase and primary monetization driver. This product features an AI agent that screens unknown callers as they ring , provides a live transcript, and allows for mid-call user intervention. As the Senior Backend More ❯

Senior Backend Engineer (Application & AI Orchestration) Overview We are seeking a deeply technical and security-minded Senior Backend Engineer to join a newly-founded, high-impact AI joint venture. Backed by five of the world's leading telecommunications giants, our mission is to restore trust in global voice communication. Our mission is to restore trust in voice communication … by building a network-native intelligence layer to stop fraud and create a new category of secure, AI-powered user experiences. We are a “Phase 2” company, meaning we are building the foundational engineering team that will define our culture and our success. This role is the Core Logic Owner for our flagship AI experience: the Personal Welcome … Manager. While our Security Shield product leverages unique, pre-call telco data to provide sub-500ms trust indicators, the Welcome Manager is our AI innovation showcase and primary monetization driver. This product features an AI agent that screens unknown callers as they ring , provides a live transcript, and allows for mid-call user intervention. As the Senior Backend More ❯

Job Brief: Lead AI Engineer (Stealth Fintech Start-Up) Overview A high-growth fintech start-up in stealth mode is building a personal finance app — a next-generation AI-powered personal finance coach that helps users better understand and optimise their spending habits. The app leverages open banking, LLMs, and custom AI tooling to deliver actionable insights … smart budgeting recommendations, and personalised cashback offers — all tailored to each user’s unique financial behaviour. To get ready for their launch, they are looking to hire a Lead AI Engineer to own and evolve the AI capability, taking the product from solid MVP to an intelligent, scalable, and market-ready platform. This is a fully remote opportunity … UK-based), with occasional travel to London for company meetups. The Role As the Lead AI Engineer, you’ll be responsible for: Driving the technical evolution of the company’s proprietary financial LLM coach. Overseeing architecture and optimisation of the AI backend, including vector databases and LLM integrations. Ensuring smooth interaction between the AI layer and the More ❯

Senior AI Engineer – Startup (AI Consultancy) - London (Hybrid) Upto £130k +shares We’re working with a fast growth AI Consultancy with offices in London, Manchester and Edinburgh. The business is under a year old and currently sitting at 50 people, generating revenue with a range of AI projects including fact extraction, conversational AI, Co … successfully sold to a ‘big 4’ , they are on course to replicate their success here. This has fuelled rapid growth in the team and we are looking for Senior AI Engineers of different experience levels to join us in building the business by developing end2end LLM products for our clients. What we’re looking for: We’re looking for … people that have experience building production ready AI solutions, to design, build and deploy AI solutions in collaboration with our clients. You’ll be applying some of the SOTA research in AI to develop applications. As such we would expect you to have: Effective communication skills Background in foundational Computer Vision/NLP Strong Software Engineering skills More ❯

Senior AI Engineer – Startup (AI Consultancy) - London (Hybrid) Upto £130k +shares We’re working with a fast growth AI Consultancy with offices in London, Manchester and Edinburgh. The business is under a year old and currently sitting at 50 people, generating revenue with a range of AI projects including fact extraction, conversational AI, Co … successfully sold to a ‘big 4’ , they are on course to replicate their success here. This has fuelled rapid growth in the team and we are looking for Senior AI Engineers of different experience levels to join us in building the business by developing end2end LLM products for our clients. What we’re looking for: We’re looking for … people that have experience building production ready AI solutions, to design, build and deploy AI solutions in collaboration with our clients. You’ll be applying some of the SOTA research in AI to develop applications. As such we would expect you to have: Effective communication skills Background in foundational Computer Vision/NLP Strong Software Engineering skills More ❯

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 ❯

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 ❯

wealth management), architectural leadership, and transformation technology experience. The ideal candidate will be responsible for shaping and delivering strategic modernisation efforts, spanning core platforms, data and digital initiatives, and AI-driven innovation in alignment with regulatory, operational, and customer-focused priorities with a key focus on Change the Bank (CTB) . The Opportunity Strategic Technology Leadership Define the future … and client engagement platforms (e.g., advisor portals, investor dashboards, digital onboarding, portfolio analytics). Support rationalisation and integration of fragmented technology estates resulting from mergers, acquisitions, or platform expansion. AI & Data Strategy Enablement Identify and drive AI and data-driven use cases relevant to investment advisory, client servicing, risk management, and operational automation (e.g., hyper-personalisation, RPA, document … middle and back-office systems, and associated data flows. Hands-on experience with cloud-native platforms (AWS, Azure, GCP) , API management , enterprise integration , and data architecture . Exposure to AI/ML or Generative AI in real-world applications (e.g., NLP, entity extraction, predictive analytics, conversational AI). Deep appreciation of regulatory landscape , data privacy, and 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 ❯

Services (Logic Apps, Azure Functions, Service Bus, API Management). Strong working knowledge of Dynamics 365/Peppermint CRM, Dataverse, and the Microsoft 365 ecosystem. Familiarity with CoPilot Studio, AI Builder, and conversational AI solutions. If you'd like to discuss this opportunity in more detail, please contact Evie Ellson on +44 (0) or send your CV More ❯

AI/Machine Learning Engineer (NLP/LLM) - Contract Duration: 6 months Rate: Up to £500 per day IR35: Outside Location: Fully Remote (occasional ad-hoc travel to office) A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer/Data Scientist to support the development of next-generation AI solutions. This is an exciting opportunity … to play a key role in designing and training Large Language Models (LLMs) from the ground up, and to contribute to the creation of an intelligent AI powered chatbot that transforms the way information and insights are delivered. You'll work closely with the client's in house data and engineering teams to design, train, and fine tune transformer … transformer based architectures (e.g., GPT, BERT, T5). Solid background in data science and machine learning, including model development, training, evaluation, and deployment. Experience building and deploying chatbots or conversational AI systems. Knowledge of MLOps tools and pipelines for model versioning and deployment. If you are available and interested in a 6-month Outside IR35 contract, please apply More ❯

AI/Machine Learning Engineer (NLP/LLM) - Contract Duration: 6 months Rate: Up to £500 per day IR35: Outside Location: Fully Remote (occasional ad-hoc travel to office) The Role: A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer/Data Scientist to support the development of next-generation AI solutions.This is an exciting … opportunity to play a key role in designing and training Large Language Models (LLMs) from the ground up, and to contribute to the creation of an intelligent AI-powered chatbot that transforms the way information and insights are delivered.You'll work closely with the client's in-house data and engineering teams to design, train, and fine-tune transformer … transformer-based architectures (e.g., GPT, BERT, T5). Solid background in data science and machine learning, including model development, training, evaluation, and deployment. Experience building and deploying chatbots or conversational AI systems. Knowledge of MLOps tools and pipelines for model versioning and deployment. If you are available and interested in a 6-month Outside IR35 contract, please apply 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 ❯

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time. Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders … relentless momentum, winner's mindset, and stronger together-shape how we work and grow as a team. About the Team The Agent Engineering team at Decagon deploys mission-critical AI agents to our customers that impact millions of users and directly drive Decagon's growth. You will build on our industry-leading AI agent platform, collaborate directly with … customers and use your own creativity to devise long-term, scalable solutions. Our mission is to deliver magical support experiences - AI agents working alongside human agents to help users resolve their issues. About the Role On the Agent Engineering team, you'll have complete ownership and autonomy in building and shipping best-in-class AI agents, from initial 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 ❯

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 ❯