Remote Conversational UI Jobs in the Channel Islands

3 of 3 Remote Conversational UI Jobs in the Channel Islands

Machine Learning Engineer

Guernsey, UK
Hybrid / WFH Options
SR2 | Socially Responsible Recruitment | Certified B Corporation
Machine Learning Engineer - Remote (EU 4h) - Up to 75,000 Im partnered with a fast-growing conversational AI startup thats redefining how people interact with personal chatbots. Their mission? To create intelligent, intuitive digital companions that genuinely feel human. As they expand their engineering team, theyre looking for a Machine Learning Engineer whos passionate about building high-performing More ❯
Employment Type: Part-time
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Senior AI Engineer

Guernsey, UK
Hybrid / WFH Options
numi
on role with broad impacttouching everything from model training and deployment to safety evaluation and infrastructure. Key Responsibilities: Design and implement NLP and ML systems for clinical and conversational applications Build and maintain data pipelines, model training, fine-tuning, evaluation, and deployment workflows Collaborate cross-functionally to translate clinical requirements into scalable technical solutions Ensure safety, performance, and More ❯
Employment Type: Part-time
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Machine Learning Engineer

Guernsey, UK
Hybrid / WFH Options
Stealth iT Consulting
About the Role Were looking for a Machine Learning Engineer to design, build, and optimise next-generation Conversational AI systems that power intelligent, human-like digital assistants across the public sector. This is a permanent position offering remote working and flexibility with occasional client visits, expenses covered. Youll work on agentic AI workflows , fine-tune large language models … driven environment. You bring: Proven experience deploying machine learning models into production environments. Strong Python skills and experience with LLM frameworks (LangChain, LlamaIndex, HuggingFace Transformers). Knowledge of conversational AI platforms (Dialogflow, Lex, Rasa). Familiarity with TensorFlow , PyTorch , Keras , scikit-learn , and Pandas . Experience integrating with cloud-based AI services (AWS, Google Cloud, Azure). The More ❯
Employment Type: Part-time
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