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- Tasks: Develop and enhance our data platform and machine learning applications for customers.
- Company: Chalk, a forward-thinking tech company in the UK.
- Benefits: Competitive salary, generous personal time off, and comprehensive insurance.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Join us to shape innovative solutions and support customer success.
- Qualifications: 2+ years of backend engineering experience, Python and SQL proficiency.
The predicted salary is between 50000 - 60000 £ per year.
Chalk in the United Kingdom is seeking an exceptional software engineer to develop their data platform and machine learning applications. This role involves implementing technology for customers, working closely with sales and engineering teams, and providing support for onboarding new customers.
Ideal candidates will have:
- Over 2 years of backend engineering experience
- Proficiency in Python and SQL
- Strong communication skills
Chalk offers a competitive salary and benefits, including generous personal time off and comprehensive insurance.
Customer-Facing ML Platform Engineer in London employer: Chalk
Contact Detail:
Chalk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer-Facing ML Platform Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Chalk or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your backend projects, especially those involving Python and SQL. This is your chance to demonstrate what you can bring to the table beyond just a CV.
✨Tip Number 3
Prepare for the interview by brushing up on your communication skills. Since this role involves working closely with sales and engineering teams, being able to articulate your ideas clearly will set you apart.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Customer-Facing ML Platform Engineer in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your backend engineering experience, especially with Python and SQL. We want to see how your skills align with what we're looking for, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for the Customer-Facing ML Platform Engineer role. Mention specific projects or experiences that relate to developing data platforms and machine learning applications.
Communicate Clearly: Since strong communication skills are key for this role, ensure your application is clear and concise. We appreciate straightforward language that gets your point across without any fluff!
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 Chalk
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Communication Skills
Since this role involves working closely with sales and engineering teams, practice explaining complex technical concepts in simple terms. Think of examples where you've successfully communicated with non-technical stakeholders.
✨Understand the Customer Journey
Familiarise yourself with the onboarding process for new customers. Be prepared to discuss how you would implement technology solutions that enhance customer experience and support their needs effectively.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about Chalk's data platform and machine learning applications. This shows your genuine interest in the role and helps you assess if it's the right fit for you.