4 of 4 Conversational AI Jobs in the South East

Conversational AI - Technical Trainer Salary: Up to £60,000 (Based on candidate experience) Hybrid Model: 1-2 days per week (London) Job Type: Permanent About you: You will be a skilled Conversational AI – Technical Trainer to create and deliver in-depth training programs on conversational AI and natural language processing (NLP). The ideal … candidate will have a hands-on technical training session covering conversational AI, suitable for those with some background and practical experience in the field, including building and optimizing conversational AI systems, and be adept at teaching complex concepts to a variety of learners while ensuring training content stays current with industry advancements. About the client: My … and Industry Requirements: Modify training to suit specific industries, ensuring it aligns with best practices and regulatory standards. Create Training Programs and Materials: Develop modules and engaging resources on conversational AI, NLP, and chatbot design. Assess Training Impact and Learner Progress: Evaluate participant understanding and refine content based on feedback and performance. Stay Current with Industry Trends and More ❯

Job Title: Product Owner - Conversational Banking AI (Chat & Voice) Location: London - Hybrid Rate: £500 - 559 per day Via Umbrella About the Role: A global bank is on a mission to build the world's best banking app and at the heart of that is their Conversational Banking team . They're innovating with Generative AI and … traditional AI solutions to create exceptional customer experiences while driving efficiency across digital channels. We're looking for a Product Owner to be involved with AI-driven chat and voice solutions. You'll design, build, and run digital customer journeys, working with cross-functional teams in a lean agile environment, and managing the full product lifecycle from concept … to post-launch performance. What You'll Do: Product owner of Conversational Banking products, from strategy to delivery and adoption. Collaborate across global teams to design customer journeys and define product requirements. Analyse market trends, user feedback, and usage data to identify opportunities for innovation. Prioritise the product backlog, anticipate changes in customer needs, and guide agile delivery. Ensure More ❯

The Job: Job Title: UX/UI Designer Industry: AI SaaS Start-Up Working Set-Up: Hybrid working set-up in Petersfield (2-3 days per week) Salary - £45,000-£50,000 per annum Interview process: 2 stages The Role: Leo Technology have partnered exclusively with a start-up AI SaaS company who have set out to change … the consumer retail space. After being founded in 2023, they're on a mission to revolutionise how businesses engage with their customers through intelligent, AI-driven conversational solutions. Backed by a recent seed-plus investment and with a growing client base - including the second-largest automotive marketplace in the UK - they're at a hugely exciting point of … and ambitious UX/UI Designer to help define and shape the look, feel, and flow of their product. This is a unique opportunity to break new ground in AI-powered experiences, combining the best of retail and conversational design. If you're passionate about design, curious about AI, and willing to experiment to create truly innovative More ❯

closely with developers, technical leads, product owners, and QA teams to design, deploy, and support production-grade ML services. This is a fast-moving environment where cutting-edge Generative AI technologies are constantly evolving, so adaptability and technical excellence are essential. Key Responsibilities Design and implement tooling and technologies to support ML models and LLMs in production. Deploy, maintain … within a cloud environment (AWS). Recommend and implement prompt management tools and provide expertise in prompt engineering. Introduce and manage observability, monitoring, and evaluation frameworks for ML and AI services. Enable auto-evaluation of prompts and models against domain-specific requirements. Build Python-based microservices, data pipelines, and serverless functions. Collaborate with stakeholders to translate data and AI requirements into scalable solutions. Essential Experience & Skills 5+ years' engineering experience, with at least 3 years in ML Ops, Data Engineering, or AI infrastructure. Strong Python engineering skills (Pandas, Numpy, Jupyter, FastAPI, SQLAlchemy). Expertise in AWS services (certification desirable). Proven experience deploying and supporting LLMs in production. Strong understanding of LLM fine-tuning (PyTorch, TensorFlow, Hugging More ❯