3 598 Posti di lavoro per Machine Learning in Italia

About Vita Health

Vita 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 B2C sector, where we began, but also in B2B by integrating into corporate welfare programs for both large enterprises and SMEs that shape our market. We strive to make individuals more conscious of the benefits of a healthy lifestyle, demonstrating that dieting and exercising can seamlessly fit into their daily routines rather than being a chore.

By utilising AI 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 of nutritionists and personal trainers is 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 our first Machine Learning Engineer to spearhead a new strategic initiative 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 technical and strategic foundation for 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 in applied 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 deploying ML solutions in production environments.
• Passion for interpretable models and 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.
• Fluent English proficiency

Bonus Points For

• Domain experience in health, fitness, or behavioural science
• Experience with consumer-facing product integrations
• Experience in a startup or fast-paced product environment

What We Offer

• €39,000 – €47,000 based 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 have dedicated learning time weekly.
• A dynamic work environment where your ideas will directly influence our strategies and product development.
• Leadership committed to your career progression
• A unique opportunity to create a significant impact in the health sector

Recruiting 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.

Social network you want to login/join with:

Nuraxi Holding SRL is pioneering the future of AI-driven healthcare and longevity science. We lead the SABA (Sardinian Aging Biomarkers Analysis) project—a landmark study into the markers of healthy aging in Sardinia's renowned "Blue Zone." Our mission is to unlock actionable insights from biometric, genomic, and behavioral data through cutting-edge technology and precision medicine.

? The Project

The SABA project combines wearable technology, AI, and precision medicine to understand longevity factors in Sardinia's "Blue Zone" population. You'll contribute to a sophisticated production platform that:

• Processes and visualizes biometric and behavioral data
• Supports clinical trial workflows and health assessments
• Hosts LLM-powered AI tools for aging analysis and personalized insights

You'll work as part of a senior, multidisciplinary team that is reshaping how we understand—and extend—human healthspan.

?Location

?️ What You’ll Work On

As an ML Engineer / Data Scientist at Nuraxi, you’ll be a core contributor to the development of our AI systems. Your work will power the digital twin models that drive personalized insights for thousands of users across clinics and health platforms.

You will:

• Design, build, and maintain end-to-end machine learning pipelines
• Translate biometric, wearable, and behavioral data into actionable healthspan predictions
• Collaborate cross-functionally with product, engineering, and research to prototype and deploy new models
• Help establish best practices for monitoring, versioning, and validating ML systems
• Contribute to our long-term AI/ML roadmap, especially around explainability and personalization

? What We’re Looking For

Must-Have Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related STEM field
• 3+ years of hands-on experience in applied machine learning and data engineering
• Strong Python skills, with clean code and OOP foundations
• Production experience deploying models in cloud environments (GCP, AWS, or similar)
• Experience with ML platforms (e.g., MLflow, Vertex AI, SageMaker, TFX)
• Familiarity with data orchestration tools like Airflow or Dagster
• Comfortable owning the full lifecycle of a model, from prototyping to monitoring

Nice-to-Have / Bonus Skills

• PhD or postdoctoral research in a quantitative or biomedical field
• Experience working with biometric, time-series, or wearable health data
• Exposure to edge deployment or embedded AI systems
• Knowledge of model monitoring (drift detection, explainability, etc.)
• Background in medtech, biotech, or regulated environments
• Italian language skills (optional but welcome)

? What We Offer

• ? Competitive annual salary based on experience
• ? A front-row seat in transforming healthcare through AI and longevity science
• ? Work with a passionate, international team
• ? Real opportunity for growth and leadership
• ? Fully remote with async flexibility and collaborative culture
• Strong English communication skills (spoken and written) are essential.

“Full Stack React/Django Candidate Application”

? Your CV or LinkedIn profile

? Your GitHub, portfolio, or project samples

We review applications on a rolling basis. Early applicants will be prioritized.

? Note: Applicants must have a valid work permit for Italy. Unfortunately, visa sponsorship is not available

? A Note on Inclusivity

We know that not everyone ticks every box—and that’s okay. Studies show that women and other underrepresented groups are less likely to apply for a role unless they meet every single requirement. At Nuraxi, we value potential, curiosity, and mission alignment as much as experience. If you're passionate about our work and think you could make a contribution, we strongly encourage you to apply—even if your background doesn't perfectly match the job description.

Nuraxi is an equal opportunity employer . We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, ethnicity, religion, gender, sexual orientation, age, disability status, or any other legally protected characteristic.

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Vita Health

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2896913947472953344337161

1

03.06.2025

18.07.2025

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About Vita Health

Vita 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 B2C sector, where we began, but also in B2B by integrating into corporate welfare programs for both large enterprises and SMEs that shape our market. We strive to make individuals more conscious of the benefits of a healthy lifestyle , demonstrating that dieting and exercising can seamlessly fit into their daily routines rather than being a chore.

By utilising AI 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 of nutritionists and personal trainers is 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 our first Machine Learning Engineer to spearhead a new strategic initiative 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 technical and strategic foundation for 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 in applied machine learning , with strong foundations in algorithm design and data pipelines.
• Experience in architecting and evolving ML tech stacks—from experimentation frameworks and data pipelines to deployment and MLOps infrastructure.
• Experience deploying ML solutions in production environments .
• Passion for interpretable models and simplifying complex models for end users.
• Ability to independently own projects from data exploration to delivery.
• Experience collaborating with product and domain experts to refine model objectives.

Bonus Points For

• Domain experience in health, fitness, or behavioural science
• Experience with consumer-facing product integrations
• Experience in a startup or fast-paced environment

What We Offer

• €39,000 – €47,000 based on experience
• Autonomy and flexibility. Work from wherever you want, with the option to visit our modern Milan office.
• Personalised learning budget with dedicated learning time weekly.
• A dynamic work environment where your ideas influence strategies and product development.
• Leadership committed to your career progression .
• A chance to create a significant impact in the health sector .
• Assessment processes including asynchronous tests, technical evaluations, and cultural fit interviews.

Social network you want to login/join with:

Vita 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 B2C sector, where we began, but also in B2B by integrating into corporate welfare programs for both large enterprises and SMEs that shape our market. We strive to make individuals more conscious of the benefits of a healthy lifestyle , demonstrating that dieting and exercising can seamlessly fit into their daily routines rather than being a chore.

By utilising AI 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 of nutritionists and personal trainers is committed to guiding users throughout their journey to help them reach their goals.

Online job hunting tools

If you're passionate about transforming lives, join Vita Health!

About The Role

We’re hiring our first Machine Learning Engineer to spearhead a new strategic initiative 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 technical and strategic foundation for 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 in applied 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 deploying ML solutions in production environments .
• ? Passion for interpretable models and 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.

Bonus Points For

• ? Domain experience in health, fitness, or behavioural science
• ? Experience with consumer-facing product integrations
• ? Experience in a startup or fast-paced product environment

What We Offer

• ? €39,000 – €47,000 based 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 have dedicated learning time weekly .
• ? A dynamic work environment where your ideas will directly influence our strategies and product development.
• ? Leadership committed to your career progression
• ️ A unique opportunity to create a significant impact in the health sector
• ? 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.

Please note that if you are NOT a passport holder of the country for the vacancy you might need a work permit. Check our Blog for more information.

Bank or payment details should not be provided when applying for a job. Eurojobs.com is not responsible for any external website content. All applications should be made via the 'Apply now' button.

Social network you want to login/join with:

Vita 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 B2C sector, where we began, but also in B2B by integrating into corporate welfare programs for both large enterprises and SMEs that shape our market. We strive to make individuals more conscious of the benefits of a healthy lifestyle , demonstrating that dieting and exercising can seamlessly fit into their daily routines rather than being a chore.

By utilising AI 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 of nutritionists and personal trainers is 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 our first Machine Learning Engineer to spearhead a new strategic initiative 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 technical and strategic foundation for 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 in applied 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 deploying ML solutions in production environments .
• ? Passion for interpretable models and 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.

Bonus Points For

• ? Domain experience in health, fitness, or behavioural science
• ? Experience with consumer-facing product integrations
• ? Experience in a startup or fast-paced product environment

What We Offer

• ? €39,000 – €47,000 based 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 have dedicated learning time weekly .
• ? A dynamic work environment where your ideas will directly influence our strategies and product development.
• ? Leadership committed to your career progression
• ️ A unique opportunity to create a significant impact in the health sector
• ? 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.

Social network you want to login/join with:

Vita 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 B2C sector, where we began, but also in B2B by integrating into corporate welfare programs for both large enterprises and SMEs that shape our market. We strive to make individuals more conscious of the benefits of a healthy lifestyle , demonstrating that dieting and exercising can seamlessly fit into their daily routines rather than being a chore.

By utilising AI 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 of nutritionists and personal trainers is 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 our first Machine Learning Engineer to spearhead a new strategic initiative 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 technical and strategic foundation for 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 in applied 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 deploying ML solutions in production environments .
• ? Passion for interpretable models and 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.

Bonus Points For

• ? Domain experience in health, fitness, or behavioural science
• ? Experience with consumer-facing product integrations
• ? Experience in a startup or fast-paced product environment

What We Offer

• ? €39,000 – €47,000 based 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 have dedicated learning time weekly .
• ? A dynamic work environment where your ideas will directly influence our strategies and product development.
• ? Leadership committed to your career progression
• ️ A unique opportunity to create a significant impact in the health sector
• ? 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.

Social network you want to login/join with:

Vita 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 B2C sector, where we began, but also in B2B by integrating into corporate welfare programs for both large enterprises and SMEs that shape our market. We strive to make individuals more conscious of the benefits of a healthy lifestyle , demonstrating that dieting and exercising can seamlessly fit into their daily routines rather than being a chore.

By utilising AI 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 of nutritionists and personal trainers is 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 our first Machine Learning Engineer to spearhead a new strategic initiative 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 technical and strategic foundation for 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 in applied 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 deploying ML solutions in production environments .
• ? Passion for interpretable models and 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.

Bonus Points For

• ? Domain experience in health, fitness, or behavioural science
• ? Experience with consumer-facing product integrations
• ? Experience in a startup or fast-paced product environment

What We Offer

• ? €39,000 – €47,000 based 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 have dedicated learning time weekly .
• ? A dynamic work environment where your ideas will directly influence our strategies and product development.
• ? Leadership committed to your career progression
• ️ A unique opportunity to create a significant impact in the health sector
• ? 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.

Social network you want to login/join with:

Vita 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 B2C sector, where we began, but also in B2B by integrating into corporate welfare programs for both large enterprises and SMEs that shape our market. We strive to make individuals more conscious of the benefits of a healthy lifestyle , demonstrating that dieting and exercising can seamlessly fit into their daily routines rather than being a chore.

By utilising AI 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 of nutritionists and personal trainers is 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 our first Machine Learning Engineer to spearhead a new strategic initiative 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 technical and strategic foundation for 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 in applied 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 deploying ML solutions in production environments .
• ? Passion for interpretable models and 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.

Bonus Points For

• ? Domain experience in health, fitness, or behavioural science
• ? Experience with consumer-facing product integrations
• ? Experience in a startup or fast-paced product environment

What We Offer

• ? €39,000 – €47,000 based 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 have dedicated learning time weekly .
• ? A dynamic work environment where your ideas will directly influence our strategies and product development.
• ? Leadership committed to your career progression
• ️ A unique opportunity to create a significant impact in the health sector
• ? 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.

Social network you want to login/join with:

Vita 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 B2C sector, where we began, but also in B2B by integrating into corporate welfare programs for both large enterprises and SMEs that shape our market. We strive to make individuals more conscious of the benefits of a healthy lifestyle , demonstrating that dieting and exercising can seamlessly fit into their daily routines rather than being a chore.

By utilising AI 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 of nutritionists and personal trainers is 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 our first Machine Learning Engineer to spearhead a new strategic initiative 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 technical and strategic foundation for 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 in applied 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 deploying ML solutions in production environments .
• ? Passion for interpretable models and 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.

Bonus Points For

• ? Domain experience in health, fitness, or behavioural science
• ? Experience with consumer-facing product integrations
• ? Experience in a startup or fast-paced product environment

What We Offer

• ? €39,000 – €47,000 based 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 have dedicated learning time weekly .
• ? A dynamic work environment where your ideas will directly influence our strategies and product development.
• ? Leadership committed to your career progression
• ️ A unique opportunity to create a significant impact in the health sector
• ? 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.