At a Glance
- Tasks: Design and maintain advanced ML models to solve real business problems.
- Company: Join Triumph Research Intelligence's innovative Data Innovations Team.
- Benefits: Enjoy a competitive salary, flexible remote work, and 27 days of holiday.
- Other info: Be part of a dynamic team with great career growth opportunities.
- Why this job: Make a difference in clinical trials while advocating for ethical AI.
- Qualifications: Experience in machine learning and a passion for AI solutions.
The predicted salary is between 65000 - 75000 € per year.
Triumph Research Intelligence is seeking a Machine Learning/AI Engineer to join their Data Innovations Team. This role involves designing and maintaining advanced ML models and turning business problems into AI solutions.
Responsibilities include:
- Collaborating with teams
- Advocating for ethical AI
- Ensuring compliance
The position offers a competitive salary of £65,000 - £75,000, flexible remote working, 27 days of holiday plus more, and enhanced health benefits. Join us and contribute to high-quality clinical trials.
Remote ML & AI Engineer — LLMs, RAG & Production AI employer: Triumph Research Intelligence
Triumph Research Intelligence is an exceptional employer that values innovation and collaboration within its Data Innovations Team. With a strong commitment to ethical AI practices, employees enjoy a flexible remote working environment, generous holiday allowances, and comprehensive health benefits, all while contributing to impactful clinical trials. The company fosters a culture of growth and development, making it an ideal place for those looking to advance their careers in the rapidly evolving field of machine learning and artificial intelligence.
Contact Detail:
Triumph Research Intelligence Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Remote ML & AI Engineer — LLMs, RAG & Production AI
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML models and AI projects. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Research common questions for ML & AI roles and practice your answers. We want you to feel confident and ready to impress.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Remote ML & AI Engineer — LLMs, RAG & Production AI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of ML & AI Engineer. Highlight your experience with LLMs and any relevant projects that showcase your skills in turning business problems into AI solutions.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about ethical AI and how you can contribute to our Data Innovations Team. Keep it concise but impactful.
Showcase Your Collaboration Skills:Since this role involves working closely with teams, mention any past experiences where you've successfully collaborated on projects. We love seeing how you can work with others to achieve great results!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with Triumph Research Intelligence.
How to prepare for a job interview at Triumph Research Intelligence
✨Know Your ML Models
Make sure you brush up on the latest advancements in machine learning models, especially those related to LLMs and RAG. Be ready to discuss how you've designed or maintained similar models in the past, and think of specific examples that showcase your expertise.
✨Understand Ethical AI
Since advocating for ethical AI is a key part of the role, prepare to discuss your views on ethical considerations in AI. Think about real-world scenarios where ethical dilemmas might arise and how you would address them. This shows you’re not just technically savvy but also socially responsible.
✨Collaboration is Key
This position involves working closely with various teams, so be prepared to share experiences where you successfully collaborated on projects. Highlight your communication skills and how you’ve navigated challenges in team settings to achieve common goals.
✨Showcase Your Problem-Solving Skills
The role focuses on turning business problems into AI solutions, so come equipped with examples of how you've tackled complex issues in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers and clearly demonstrate your impact.
