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- Tasks: Enhance AI capabilities and mentor junior staff in a collaborative environment.
- Company: Leading customer experience software company in the UK.
- Benefits: Flexible working hours and professional development opportunities.
- Why this job: Join a dynamic team to shape the future of AI technology.
- Qualifications: Experience in machine learning, cloud services, and strong communication skills.
- Other info: Opportunity to work on cutting-edge projects with real impact.
The predicted salary is between 48000 - 72000 £ per year.
A leading customer experience software company in the United Kingdom is seeking a Senior Machine Learning Engineer to enhance their AI-powered capabilities. You will collaborate closely with product management and engineers, mentor junior staff, and ensure system stability.
Key qualifications include:
- Experience in machine learning
- Cloud services
- Strong communication skills
This position offers flexible working hours and professional development opportunities.
Senior ML Engineer: Build Scalable LLM/RAG AI employer: Zendesk
Contact Detail:
Zendesk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer: Build Scalable LLM/RAG AI
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, or join online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving scalable LLMs or RAG AI. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts clearly, as communication is key in this role. We want to see how you can mentor others too!
✨Tip Number 4
Don’t forget to 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 Senior ML Engineer: Build Scalable LLM/RAG AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and cloud services. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Senior ML Engineer position and how you can contribute to our AI-powered capabilities. Keep it engaging and personal.
Showcase Your Communication Skills: Since strong communication is key for this role, make sure your application reflects that. Whether it’s through clear language in your CV or cover letter, we want to see that you can convey complex ideas simply.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Zendesk
✨Know Your ML Fundamentals
Brush up on your machine learning concepts, especially those relevant to large language models and retrieval-augmented generation. Be ready to discuss your past projects and how you applied these principles in real-world scenarios.
✨Showcase Your Cloud Experience
Since the role involves cloud services, make sure you can talk about your experience with different cloud platforms. Highlight specific projects where you deployed ML models in the cloud and any challenges you overcame.
✨Prepare for Collaborative Questions
As you'll be working closely with product management and engineers, expect questions about teamwork and collaboration. Think of examples where you successfully mentored junior staff or worked in cross-functional teams.
✨Communicate Clearly and Confidently
Strong communication skills are key for this role. Practice explaining complex technical concepts in simple terms. This will not only demonstrate your expertise but also your ability to convey ideas effectively to non-technical stakeholders.
