PAbout Vita Health /ppVita Health is a dynamic startup in the health, nutrition, and fitness industry. Our innovative product has positively affected the lives of over 130,000 people in our core market, and we are now eager to expand our expertise and reach globally. Our mission is to enhance our presence not just in the bsector /b, where we began, but also in bcorporate wellness /b by integrating into corporate bpartnerships /b for both large enterprises and SMEs that shape our market. We strive to make individuals more conscious of the benefits of a bhealthy lifestyle /b, demonstrating that dieting and exercising can seamlessly fit into their daily routines rather than being a chore. /ppBy utilising bAI and algorithms /b, we create personalised diet and training plans tailored to user inputs during onboarding, which adapt continuously to reflect their progress. Our dedicated team of bnutritionists and personal trainers /b is committed to guiding users throughout their journey to help them reach their goals. If you're passionate about transforming lives, join Vita Health! /ppAbout The Role /ppWe’re hiring our bfirst Machine Learning Engineer /b to spearhead a new bstrategic initiative /b aimed at modelling individual health progress and behaviour in a more intelligent, personalised, and explainable way. This role is a rare opportunity to lay the btechnical and strategic foundation /b for how we assess and support our users’ wellness journeys through data. /ppYou’ll work at the intersection of health science, behavioural modelling, and machine learning, bringing innovative ideas to life, backed by real-world impact. Your responsibilities will include: /polliDesign and implement the core ML systems behind a new health intelligence initiative, balancing rule-based and ML-based approaches. /liliTranslate complex user behaviours (nutrition, training, physical activity, sleep, engagement, etc.) into actionable, data-driven insights. /liliOwn the entire ML lifecycle: from data exploration and feature engineering to model deployment and monitoring. /liliBuild data-ingestion flows and automated training jobs on AWS. /liliWork closely with cross-functional stakeholders, including Product, Engineering, Design, and Health Experts, to define meaningful signals and feedback loops. /liliEnsure a high level of transparency and explainability so our users can understand and trust the results. /liliHelp define the long-term ML roadmap—including opportunities in personalisation, recommendations, and behavioural nudging. /li /olpbWhat You’ll Bring /b /pulli5+ years of experience in applied machine learning, with strong foundations in algorithm design and data pipelines. /liliVision to architect and evolve our entire ML tech stack—from experimentation frameworks and data pipelines to deployment and MLOps infrastructure. /liliExperience building and deploying ML solutions in production environments. /liliPassion for bproblem-solving /b and turning complexity into simplicity for end users. /liliAbility to independently own projects from data exploration to delivery. /liliExperience working closely with product and domain experts to define and refine model objectives. /li /ulpbBonus Points For /b /pulliDomain experience in health, fitness, or behavioural science. /liliExperience with consumer-facing product integrations. /liliExperience in a startup or fast-paced product environment. /li /ulpbWhat We Offer /b /pulliAutonomy and flexibility: Work from wherever you want, with the option to visit our modern Milan office. /liliPersonalised learning budget with the possibility to have dedicated learning time weekly. /liliA dynamic work environment where your ideas will directly influence our strategies and product development. /liliLeadership committed to your career progression. /liliA unique opportunity to create a significant bimpact in the health sector /b. /li /ulpbRecruiting Process /b /pulliAsynchronous Assessment: Evaluate your reasoning abilities, logical and critical thinking, and behaviour in challenging situations. /liliAssessment Review: We’ll discuss your test results to understand your thought process. /liliTechnical Evaluation: A technical assessment tailored to the role. /liliTechnical Review: Discuss your approach and reasoning behind your solutions. /liliCultural Fit Interview: Ensure your values align with our company culture to help everyone thrive. /li /ul #J-18808-Ljbffr