About Vita HealthVita 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 theB2Csector, where we began, but also inB2Bby integrating into corporatewelfare programsfor both large enterprises and SMEs that shape our market. We strive to make individuals more conscious of the benefits of ahealthy lifestyle, demonstrating that dieting and exercising can seamlessly fit into their daily routines rather than being a chore.
By utilisingAI and algorithms, we create personalised diet and training plans tailored to user inputs during onboarding, which adapt continuously to reflect their progress. Our dedicated team ofnutritionists and personal trainersis committed to guiding users throughout their journey to help them reach their goals.
If you're passionate about transforming lives, join Vita Health!About The Role
We’re hiring ourfirst Machine Learning Engineerto spearhead a newstrategic initiativeaimed at modelling individual health progress and behaviour in a more intelligent, personalised, and explainable way.
This role is a rare opportunity to lay thetechnical and strategic foundationfor how we assess and support our users’ wellness journeys through data. You’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:Design and implement the core ML systems behind a new health intelligence initiative, balancing rule-based and ML-based approaches.
Translate complex user behaviours (nutrition, training, physical activity, sleep, engagement, etc) into actionable, data-driven insights.
Own the entire ML lifecycle:
from data exploration and feature engineering to model deployment and monitoring.
️ Build data-ingestion flows and automated training jobs on AWS
Work closely with cross-functional stakeholders, including Product, Engineering, Design, and Health Experts, to define meaningful signals and feedback loops.
Ensure a high level of transparency and explainability so our users can understand and trust the results.
Help define the long-term ML roadmap—including opportunities in personalisation, recommendations, and behavioural nudging.What You’ll Bring
5+ years of experience inapplied machine learning, with strong foundations in algorithm design and data pipelines.
️ Vision to architect and evolve our entire ML tech stack—from experimentation frameworks and data pipelines to deployment and MLOps infrastructure.
Experience building and deployingML solutions in production environments.
Passion forinterpretable modelsand turning complexity into simplicity for end users.
Ability to independently own projects from data exploration to delivery.
Experience working closely with product and domain experts to define and refine model objectives.
FluentEnglishproficiencyBonus Points For
Domain experience inhealth, fitness, or behavioural science
Experience withconsumer-facing productintegrations
Experience in astartup or fast-paced product environmentWhat We Offer
€39,000 – €47,000based on experience
♂️ Autonomy and flexibility. Work from wherever you want, with the option to visit our modern Milan office.
Personalised learning budget with the possibility to havededicated learning time weekly.
A dynamic work environment where your ideas will directly influence our strategies and product development.
Leadership committed to yourcareer progression
❤️ A unique opportunity to create a significantimpact in the health sectorRecruiting Process
Asynchronous Assessment:
Evaluate your reasoning abilities, logical and critical thinking, and behaviour in challenging situations.
Assessment Review:
We’ll discuss your test results to understand your thought process.
Technical Evaluation:
A technical assessment tailored to the role.
️Technical Review:
Discuss your approach and reasoning behind your solutions.
Cultural Fit Interview:
Ensure your values align with our company culture to help everyone thrive.