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- Tasks: Develop advanced AI systems and manage LLM implementations using Python.
- Company: Nisos, a forward-thinking AI/ML company based in the UK.
- Benefits: Hybrid work model, competitive salary, and commitment to diversity.
- Other info: Inclusive workplace with opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of machine learning.
- Qualifications: Extensive Python experience and knowledge of deep learning frameworks.
The predicted salary is between 60000 - 80000 £ per year.
Nisos, based in the UK, seeks a skilled AI/ML professional to join their team specializing in advanced machine learning systems. Candidates should have extensive experience in Python and be familiar with deep learning frameworks like PyTorch or TensorFlow. You will be responsible for developing AI systems and managing LLM implementations. The role operates on a hybrid schedule, balancing remote work with onsite presence in Belfast City Centre. Nisos is committed to diversity and an inclusive workplace.
Senior ML Engineer - Scalable LLM & RAG Architect employer: Nisos
Contact Detail:
Nisos Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer - Scalable LLM & RAG Architect
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML community, especially those at Nisos or similar companies. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and deep learning frameworks like PyTorch or TensorFlow. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML concepts and coding skills. Practice common algorithms and be ready to discuss your past projects in detail. We want to see how you think!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Nisos team.
We think you need these skills to ace Senior ML Engineer - Scalable LLM & RAG Architect
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and any deep learning frameworks like PyTorch or TensorFlow. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention your experience with AI systems and LLM implementations, as it’ll show us you’re genuinely interested in what we do.
Be Yourself: We value diversity and inclusivity, so let your personality shine through in your application. Share your unique experiences and perspectives that make you a great fit for our team.
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It’s the easiest way for us to keep track of your application and ensure it gets into the right hands!
How to prepare for a job interview at Nisos
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get comfortable with deep learning frameworks like PyTorch or TensorFlow. Be ready to discuss specific projects where you've implemented these technologies, as this will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about how you would approach developing AI systems or managing LLM implementations. Practising common ML problems can help you articulate your thought process clearly.
✨Understand Nisos' Values
Familiarise yourself with Nisos' commitment to diversity and inclusion. Be prepared to discuss how you can contribute to a positive workplace culture and how your background and experiences align with their values.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team dynamics. Inquire about their current projects or future goals in AI/ML. This shows your genuine interest in the position and helps you assess if it's the right fit for you.