Lead ML Engineer (Europe-based/Remote)
SwordRemote
Full Time
Posted November 21, 2025
Not Specified
Remote
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Job Description
The Lead ML Engineer will develop and oversee AI and machine learning solutions for personalized clinical care, including end-to-end treatment management systems and AI Care Specialists, to improve healthcare accessibility and quality across various therapeutic domains.
Key Responsibilities
- Develop and implement AI and ML solutions for personalized clinical care.
- Design and build end-to-end AI treatment management systems covering assessment, intervention, and monitoring.
- Build and refine AI components such as prompt engineering, RAG implementations, and model fine-tuning.
- Create and optimize agentic workflows for AI-driven patient engagement and clinical guidance.
- Leverage generative AI and classical machine learning techniques based on project requirements.
Requirements
- Proven experience in developing and deploying machine learning and AI solutions, including experience with end-to-end AI treatment management systems, prompt engineering, RAG implementations, model fine-tuning, and agentic workflows.
- Strong knowledge and practical experience in leveraging both generative AI and classical machine learning techniques depending on the problem requirements.
- Experience working on AI solutions that handle complete care pathways, including initial assessment, intervention selection, and progress monitoring across various therapeutic domains.
- Ability to develop AI and ML models that contribute to delivering digital care with high clinical quality and accessibility.
- Demonstrated experience in building AI systems that engage in ongoing dialogue with patients and provide clinical guidance throughout recovery journeys.
- Excellent understanding of the full AI stack, including prompt engineering, model fine-tuning, and implementation of agentic workflows.
- Proven ability to work remotely and collaborate effectively within a Europe-based team environment.
- Educational background in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related technical field (specific degree requirements not explicitly stated but implied by the technical nature of the role).
- Experience working in healthcare or clinical environments, with an understanding of therapeutic domains and patient engagement (implied by the nature of the AI care solutions).
Benefits & Perks
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