At a Glance
- Tasks: Design and deploy advanced machine learning models to solve real-world problems.
- Company: Join Triumph Research Intelligence, a leader in clinical trial technology.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Be part of a dynamic team focused on innovation and impact.
- Why this job: Make a difference in healthcare by developing AI solutions that save lives.
- Qualifications: Experience in machine learning, deep learning, and ethical AI practices.
The predicted salary is between 60000 - 80000 € per year.
About the role
Triumph Research Intelligence is a SaaS business on a mission to make Risk-Based Quality Management (RBQM) simple for all clinical trials. Our platform, OPRA, leads to safer patients and happier clinical trials teams – with the end goal being higher quality trials, better drugs getting to market quicker, and ultimately, more lives saved.
As the company rapidly scales, accelerated by its strong product-market fit, we need to increase our security, so the time is right for an experienced Machine Learning/AI Engineer to join our newly formed Data Innovations Team. Your mission will be to design, build, deploy, and maintain advanced machine learning models, including classical ML, deep learning, foundation-model solutions, and generative AI capabilities. You’ll be the person who turns ambiguous business problems into working AI, from early prototype to production-grade model, while championing ethical, explainable, and secure AI across the organisation.
Your responsibilities will include:
- Evangelise the enablement of AI across the organisation — advocating for the adoption of AI technologies and ensuring solutions are robust, ethical, secure, and aligned with business strategy.
- Collaborate closely with the CSO, Data Science and other teams to convert business problems into AI solutions, delivering high-value prototypes and production-grade models.
- Develop, train, evaluate, and optimise ML and deep learning models using modern frameworks.
- Build and validate generative AI solutions, including LLM applications, RAG pipelines, and tuned foundation models.
- Implement data pipelines, feature engineering, and model evaluation workflows using best-practice MLOps.
- Deploy, monitor, and maintain ML models in production, ensuring reliability and performance tracking.
- Ensure all AI/ML solutions meet quality, explainability, compliance, and performance requirements.
- Provide thought leadership on AI/ML strategy, governance, and delivery best practices.
- Ensure alignment with security, ethical AI, privacy, and regulatory requirements.
- Create and maintain documentation on AI and Machine Learning processes and systems.
Machine Learning/ AI Engineer employer: Triumph Research Intelligence
Triumph Research Intelligence is an exceptional employer, offering a dynamic work environment where innovation meets purpose. As part of the Data Innovations Team, you'll have the opportunity to work on cutting-edge AI technologies that directly impact clinical trials and patient safety, all while enjoying a culture that prioritises collaboration, ethical practices, and professional growth. With a strong commitment to employee development and a mission that truly makes a difference, joining Triumph means being part of a team dedicated to transforming healthcare for the better.
Contact Detail:
Triumph Research Intelligence Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning/ AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how personal connections can lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it’s GitHub repos or a personal website, let us see what you can do. This is your chance to shine!
✨Tip Number 3
Prepare for interviews by practising common ML/AI questions and coding challenges. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our careers page for the latest openings and make sure your application stands out!
We think you need these skills to ace Machine Learning/ AI Engineer
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for machine learning and AI shine through. We want to see how you can turn complex problems into innovative solutions, so share examples of your past projects or experiences that highlight your skills in this area.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Machine Learning/AI Engineer role. Highlight relevant experiences and skills that align with our mission at Triumph Research Intelligence, especially those related to ethical and secure AI practices.
Be Clear and Concise:Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s necessary. Make it easy for us to see your qualifications and how they fit with our needs.
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 shows you’re keen on joining our team!
How to prepare for a job interview at Triumph Research Intelligence
✨Know Your Stuff
Make sure you brush up on the latest trends in machine learning and AI. Familiarise yourself with classical ML, deep learning, and generative AI capabilities. Be ready to discuss specific projects you've worked on and how they relate to the role.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've turned ambiguous business problems into working AI solutions. Think of examples where you’ve developed prototypes or production-grade models, and be ready to explain your thought process and the impact of your work.
✨Emphasise Collaboration
This role involves working closely with various teams, so highlight your experience in cross-functional collaboration. Share examples of how you've partnered with data scientists or other stakeholders to deliver high-value AI solutions.
✨Champion Ethical AI
Since ethical and secure AI is a key focus for the company, be prepared to discuss your understanding of ethical AI practices. Talk about how you ensure compliance and quality in your AI/ML solutions, and why it matters in the context of clinical trials.
