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Senior ML Engineer (Portugal Based Remote/Hybrid)

Sword
Porto, Portugal
Full Time
Posted December 18, 2025
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Job Description

A Senior Machine Learning Engineer responsible for developing and deploying AI and ML solutions to power personalized clinical care, including building end-to-end AI treatment management systems and engaging in prompt engineering, model fine-tuning, and agentic workflows within the healthcare technology domain.

Key Responsibilities

  • Develop and implement AI and ML solutions for personalized clinical care
  • Design and optimize end-to-end AI treatment management systems
  • Build and refine AI components such as prompt engineering, RAG implementations, and model fine-tuning
  • Develop agentic workflows to support clinical guidance and patient engagement
  • Leverage generative AI and classical machine learning techniques based on project requirements

Requirements

  • Candidates must possess a valid EU visa and be based in Portugal.
  • Proficiency in developing AI and ML solutions that power personalized clinical care at scale.
  • Experience with end-to-end AI treatment management systems that handle complete care pathways, including initial assessment, intervention selection, and progress monitoring across various therapeutic domains.
  • Experience with prompt engineering, RAG (Retrieval-Augmented Generation) implementations, model fine-tuning, and agentic workflows in AI projects.
  • Ability to leverage both generative AI and classical machine learning depending on the problem requirements.
  • Strong understanding of the full AI stack involved in developing digital care solutions.
  • Excellent problem-solving skills to contribute to delivering digital care that improves clinical quality and accessibility.
  • Ability to work remotely within Portugal, with flexibility in working hours.
  • Candidates must be able to work independently and effectively in a hybrid remote work environment.

Benefits & Perks

Health, dental and vision insurance
Meal allowance
Equity shares
Remote work allowance
Flexible working hours
Work from home
Discretionary vacation
Snacks and beverages
English class

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