Machine Learning Engineer

Our fantastic, client is a data-driven health company on a mission to revolutionise female health. Thier award-winning app and world-first rapid hormone test form the only comprehensive, personalised platform that helps women understand and optimize their hormonal well-being. Innovative test delivers quantitative hormone results in just 15 minutes, enabling real-time hormone tracking like never before.

The Role

We're seeking a Machine Learning Engineer / Data Scientist to lead our ML initiatives from ideation to production. You’ll design, train, and deploy models that power our at-home hormone test kits, predict symptoms and periods, and personalize the user experience inside our app. You will own the full ML workflow and deliver accurate, explainable, production-ready solutions for women’s health.

Key Responsibilities

• Design, train, deploy, and maintain ML models integrated into our mobile app
• Develop and train computer vision and object detection models for hormone test kits
• Build and train data-driven predictive models for symptoms, periods, and cycle insights
• Develop LLM applications and RAG pipelines
• Design experiments, validate approaches, and analyse results
• Collaborate with engineering, product, and science teams to translate insights into features
• Establish data pipelines, evaluation frameworks, and production monitoring
• Make pragmatic decisions between experimental approaches and scalable production solutions in a fast-paced startup environment

What You Bring

• 4+ years of hands-on experience in machine learning and software development, with models deployed to production
• MSc in Computer Science, Biomedical Data Science, Biostatistics, or related fields
• Strong proficiency in Python (pandas, scikit-learn, FastAPI), SQL, and data warehouse architecture
• Experience training computer vision and object detection models
• Experience working with LLM APIs (OpenAI, Gemini, etc.) and building RAG architectures
• Strong statistical foundation and understanding of software design principles for maintainable, scalable code
• Advanced image processing expertise
• Experience with Git, cloud platforms (preferably Google Cloud), and remote-first collaboration
• Fluent English

If you are a highly talented Machine Learning Engineer, that is looking for a fantastic next step in your career, please apply as soon as possible for immediate consideration.

Interview days are being arranged.