2 of 2 Conversational AI Jobs in Cambridge

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 ❯

our clients and our platform. From initial discovery through to implementation and delivery, you'll design robust, scalable, and intelligent solutions that address real-world challenges using technologies like Conversational AI, Real-Time Insights, Agentic Automation , and more. Responsibilities: Client Discovery & Engagement: Collaborate with enterprise clients to understand business processes, pain points, data landscapes, and strategic goals. Solution … design with platform capabilities and product roadmap. Implementation Oversight: Guide architectural decisions through implementation and user acceptance testing to ensure success. Continuous Learning: Stay ahead of the curve on AI, LLMs, agentic frameworks, and related tech—and bring those insights into your designs. Key Skills: 8+ years in technical roles (Solution Architect, Enterprise Architect, or Senior Engineer). 3+ … years in a client-facing, consultative role. Deep knowledge of microservices, distributed systems, and event-driven architectures. Strong foundation in AI/ML, especially LLMs, RAG , and vector databases (e.g. Pinecone, Weaviate). Experience with enterprise data integration (e.g. PostgreSQL, SharePoint, APIs, warehouses). Cloud architecture experience (AWS, Azure, or GCP). Proficiency in Python (strongly preferred), and familiarity More ❯