Senior Machine Learning Engineer
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Role details
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Job description
What You’ll Be DoingBuild and deploy production-ready machine learning models and AI services.Own the end-to-end ML lifecycle, from research and experimentation through to monitoring and optimisation.Develop scalable backend services, APIs and data pipelines using Python and AWS.Collaborate closely with engineering and product teams to shape technical strategy and deliver impactful solutions.
Requirements
What We’re Looking ForCommercial experience developing and deploying machine learning models in production.Strong Backend Engineering in Python, SQL, Postgres, and cloud (AWS) experience, with a solid understanding of MLOps and API development.Excellent software engineering, system design and problem-solving skills.Experience with data science or reinforcement learning is a plus.
Benefits & conditions
What’s on OfferJoin a fast-paced AI company solving meaningful healthcare challenges.High levels of ownership and collaboration with the opportunity to shape the future of the platform.Competitive salary, equity & benefits. If you’re excited by building production-grade AI solutions that make a real impact in healthcare, we’d love to hear from you.
About the company
SciPro is proud to be partnered with an innovative AI healthcare startup that’s using machine learning to improve patient access and operational efficiency across healthcare systems.
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