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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 ❯
custom code, including clear rationale for when to use CRM native workflows, an orchestration tool, or custom services. AI Integration: Implement and integrate AI solutions, including OpenAI and conversational AI, to enhance business processes and automation. Data Synchronization: Manage real-time and batch data syncing between systems, ensuring data accuracy and consistency. Monitoring, Error Handling & Maintenance: Implement logging More ❯
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 ❯
Role: AI Engineer Industry: Commodity Trading Location: Remote (London) Rate: 700-800/d (inside IR35) Contract: 6 months rolling (multi-year scope) X4 Technology are partnered with a global commodity trading firm in central London to hire a contract More ❯
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 ❯
