At a Glance
- Tasks: Advance AI technology to transform healthcare and ensure no one goes undiagnosed.
- Company: Ada, a pioneering company in AI-driven healthcare solutions.
- Benefits: Flexible hours, 28 days holiday, health insurance, and home office support.
- Other info: Join a diverse team committed to inclusivity and innovation.
- Why this job: Make a real impact in healthcare with cutting-edge AI technology.
- Qualifications: Master's degree in a quantitative field and 3+ years of AI/ML experience.
The predicted salary is between 60000 - 80000 € per year.
At Ada, we envision a world where everyone gets the healthcare they need. Yet, millions remain undiagnosed and untreated due to the complexity of identifying rare and underrecognized conditions, even when effective treatments exist. We’re changing that. Powered by leading AI and built by a team of physicians and clinical scientists, Ada helps people get answers faster, identifying those at risk and guiding them to the right care. Every successful journey makes us smarter and able to help more people. If you’re passionate about transforming healthcare and ensuring no one goes undiagnosed, join us and be part of what’s next.
About the role
As our Senior AI Engineer, you will play a key role in advancing the development, validation, and supporting tooling of our patented hybrid AI architecture. Our core technology combines Probabilistic Graphical Models (PGMs) with Generative AI to deliver explainable, transparent, and clinically robust medical reasoning. In this role, you will help shape how these components evolve and scale, ensuring they meet high standards for performance, reliability, and regulatory readiness. Reporting to our Director of AI, you will operate at the intersection of medical intelligence and software engineering—translating complex requirements into sophisticated technical solutions. You’ll collaborate closely with AI researchers, engineers, and medical experts, contributing to both the strategic direction of the platform and the hands-on implementation of production-grade systems. This is a remote role, open to candidates based in the UK or Germany.
What you’ll do
- System Evolution: Refine and scale our patented hybrid engine, focusing on the interface between LLM-based reasoning and probabilistic logic.
- Engineering Excellence: Write and deploy high-availability production code in Java and Python, ensuring adherence to security and scalability standards.
- Evaluation & Tooling: Maintain and extend our internal evaluation and validation frameworks, including synthetic data generation, automated metric tracking, and model explainability.
- Clinical Collaboration: Work with Medical Experts and AI Engineers to translate complex medical requirements into technical specifications.
- Documentation: Provide technical documentation of AI components for stakeholders and regulatory compliance (e.g. SaMD).
What you’ll bring
- A Master’s degree in a quantitative field (Computer Science, Statistics, Mathematics, Physics, or similar). A PhD is a plus but is not essential.
- 3+ years of (industry) experience in AI/ML or algorithmic development.
- Proficiency in Python (mainly for AI/Logic) and Java (mainly for backend services).
- Practical experience with classic ML and algorithms, such as Probabilistic Graphical Models (PGMs).
- Hands-on experience with LLMs (ideally including RAG and Agents). Bonus points for exposure to their validation in production.
- Solid grasp of modern DevOps (Containerization, CI/CD, Automated Testing) and AI-assisted development (e.g., Cursor, Claude Code).
- A high degree of autonomy and a preference for collaborative peer reviews and documentation.
- Experience working in cross-functional teams, with a strong foundation in mathematics, logic, or statistical modelling to support rigorous problem-solving would be advantageous.
- Exposure to the healthcare sector or other regulated environments (e.g., ISO 13485, MDR, SaMD), along with familiarity in areas such as Kotlin, advanced data visualisation, or MLOps would be highly beneficial.
What’s awaiting you at Ada
- Flexible working hours to maintain a healthy work/life balance.
- 28 days holiday, plus bank holidays to unplug, rest and recharge for our UK employees (30 days plus public holidays in Germany).
- Corporate health insurance and pension scheme (UK).
- Support to set up your home office space, with the option for a co-working space subscription for our remote employees.
- Parental benefits (Plus Nursery Benefits for the UK).
- Employee Assistance Programs to help you look after your emotional wellbeing and deal with life’s challenges.
- Stay active and healthy with a discounted ClassPass membership (or Urban Sports Club membership for our employees in Germany).
- Bike Leasing Scheme (Germany).
- Online Academy for learning and development opportunities.
At Ada, inclusivity isn't just a goal – it's our foundation. As a proud equal opportunity employer, we embrace diversity in all its forms. We encourage applications from every corner of society, regardless of race, color, religion, sex, pregnancy status, national origin, age, physical and mental abilities, marital status, sexual orientation, gender identity, gender expression, genetic information, and any other characteristic protected by law. Join us in shaping a more inclusive tomorrow.
Senior AI Engineer employer: Ada Health
At Ada, we are committed to transforming healthcare through innovative AI solutions, making us an exceptional employer for those passionate about impactful work. Our flexible working hours, generous holiday allowance, and comprehensive health benefits reflect our dedication to employee wellbeing, while our collaborative culture fosters growth and learning opportunities in a cutting-edge field. Join us in a remote role that not only offers the chance to advance your career but also contributes to a mission of ensuring everyone receives the healthcare they need.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Ada. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with AI and ML. It’s a great way to demonstrate your expertise beyond the application.
✨Tip Number 3
Ace the interview! Research common questions for AI roles and practice your answers. Be ready to discuss your past projects and how they relate to Ada's mission.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Senior AI Engineer
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior AI Engineer role. Highlight your experience with AI/ML, especially in areas like Probabilistic Graphical Models and LLMs, as this will show us you’re a great fit for what we’re looking for.
Show Your Passion:We love seeing candidates who are genuinely excited about transforming healthcare. In your application, share why you’re passionate about using AI to improve medical outcomes and how you envision contributing to our mission at Ada.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language to explain your technical skills and experiences. This helps us quickly see how you can contribute to our team without getting lost in jargon.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes tracking your application super easy for both of us.
How to prepare for a job interview at Ada Health
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of Probabilistic Graphical Models and Generative AI. Be ready to discuss how these technologies can be applied in healthcare, as well as any relevant projects you've worked on. This will show your passion for the role and your understanding of their core technology.
✨Showcase Your Coding Skills
Prepare to demonstrate your proficiency in Python and Java. You might be asked to solve coding problems or discuss your previous work involving high-availability production code. Practising common algorithms and data structures can help you feel more confident during technical assessments.
✨Understand the Healthcare Landscape
Familiarise yourself with the challenges in healthcare, especially around undiagnosed conditions. Being able to articulate how AI can address these issues will set you apart. Research Ada's mission and think about how your skills can contribute to their vision of transforming healthcare.
✨Prepare for Collaborative Discussions
Since the role involves working closely with medical experts and engineers, be ready to discuss how you approach collaboration. Think of examples where you've successfully translated complex requirements into technical solutions, and be prepared to share your thoughts on peer reviews and documentation practices.