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- Tasks: Develop advanced AI systems and manage LLM implementations using Python.
- Company: Nisos, a forward-thinking UK tech company focused on AI/ML.
- 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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Nisos on LinkedIn or attend industry meetups. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your projects in Python, PyTorch, or TensorFlow. We want to see your work in action, so make it easy for them to see what you can bring to the table.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your ML concepts and coding challenges. We can even set up mock interviews with friends or use online platforms to simulate the experience.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of your progress and provide updates directly, making the whole process smoother for us all.
We think you need these skills to ace Senior ML Engineer - Scalable LLM & RAG Architect in London
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: To make sure your application gets to us, apply directly through our website. It’s the best way to ensure we see your application and can consider you for the role!
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 why these values matter to you. This shows that you align with their mission beyond just the technical skills.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project goals, and the hybrid work model. This not only demonstrates your interest in the role but also helps you gauge if the company is the right fit for you.