At a Glance
- Tasks: Enhance AI solutions on the retrieval-augmented generation platform and mentor fellow engineers.
- Company: Join Zendesk, a leader in customer service technology with a focus on innovation.
- Benefits: Enjoy flexible hours, remote work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team that values creativity and collaboration.
- Why this job: Make an impact in AI while collaborating with talented teams on exciting projects.
- Qualifications: 4+ years in machine learning, cloud services experience, and strong Python skills.
The predicted salary is between 60000 - 80000 £ per year.
Zendesk is seeking a Senior ML Engineer to enhance their retrieval-augmented generation platform. This role involves delivering AI solutions at scale, collaborating with product teams, and mentoring peers.
Ideal candidates possess:
- 4+ years in machine learning
- Experience with cloud services
- Solid Python skills
The position offers flexible working hours, professional development, and a remote-friendly environment.
Senior ML Engineer, RAG & LLM Platform in London employer: Zendesk
Zendesk is an excellent employer that fosters a collaborative and innovative work culture, making it an ideal place for Senior ML Engineers to thrive. With flexible working hours and a strong emphasis on professional development, employees are encouraged to grow their skills while contributing to cutting-edge AI solutions. The remote-friendly environment allows for a balanced work-life integration, making Zendesk a rewarding choice for those seeking meaningful employment in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer, RAG & LLM Platform in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Zendesk. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio or GitHub with projects related to ML, make sure to highlight them. Real-world examples of your work can set you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and cloud services knowledge. We all know technical interviews can be tough, so practice coding challenges and be ready to discuss your past projects.
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Senior ML Engineer, RAG & LLM Platform in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with machine learning and Python in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your achievements!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. Mention how your background fits into enhancing our retrieval-augmented generation platform. It shows us you’re genuinely interested!
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your relevant experience and what you can bring to the team.
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 Stuff
Make sure you brush up on your machine learning concepts, especially those related to retrieval-augmented generation. Be ready to discuss your past projects and how you've applied ML techniques in real-world scenarios.
✨Cloud Services Familiarity
Since the role involves cloud services, it’s crucial to understand the platforms you’ve worked with. Prepare to talk about specific cloud technologies you’ve used and how they’ve helped scale AI solutions.
✨Python Proficiency
As a Senior ML Engineer, solid Python skills are a must. Be prepared to showcase your coding abilities, perhaps through a live coding exercise or by discussing your previous codebases and how you optimised them.
✨Collaboration is Key
This role requires working closely with product teams, so be ready to share examples of how you’ve successfully collaborated in the past. Highlight your mentoring experiences too, as they’ll want to see your leadership potential.
