Machine Learning Engineer (Healthcare) (London)

New Yesterday

Revolutionising Healthcare Through Machine Learning.
Before applying for this role, please read the following information about this opportunity found below. The field of machine learning has advanced far beyond the futuristic ideas portrayed in Sci-Fi films like Robocop and Transformers. Today, machine learning represents a groundbreaking tool in healthcare and pharmaceuticals, offering solutions to transform patient outcomes and advance the industry. This is your opportunity to join a brand-new Machine Learning team within one of Europes fastest-growing AI start-ups. Their mission? To develop cutting-edge AI solutions that tackle the unique challenges in healthcare and pharma, delivering scalable innovations that improve drug development, diagnostics, and treatment delivery. Based in vibrant offices in Barcelona or Madrid, youll work at the forefront of machine learning, creating tools for model training and evaluation that power transformative healthcare applications. Collaborating closely with Data Scientists and Engineers, youll produce advanced AI solutions while optimizing MLOps processes to drive efficiency and impact. The ideal candidate will bring experience as a Machine Learning Engineer or Data Scientist, preferably within the healthcare, biotech, or pharmaceutical space. Strong Python coding skills and expertise with cloud infrastructure (AWS preferred) are essential, as is familiarity with tools like MLflow and Airflow. Additional knowledge of Gen AI APIs or AI SaaS solutions is a plus. Above all, theyre seeking someone passionate about harnessing machine learning to revolutionise healthcare. In return, youll enjoy a collaborative team culture, flexible hybrid working options, and ample opportunities for professional growth; all within a sector that truly makes a difference. If youre ready to help shape the future of healthcare through AI and machine learning, apply now and become part of something life-changing.
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Location:
Greater London

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