Customer-Facing ML Platform Engineer
Customer-Facing ML Platform Engineer

Customer-Facing ML Platform Engineer

Full-Time 50000 - 60000 £ / year (est.) No home office possible
Chalk

At a Glance

  • 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 employer: Chalk

Chalk is an outstanding employer that fosters a collaborative and innovative work culture, making it an ideal place for a Customer-Facing ML Platform Engineer. With a focus on employee growth, the company provides ample opportunities for professional development alongside competitive salaries, generous personal time off, and comprehensive insurance benefits. Located in the vibrant UK tech scene, Chalk offers a unique environment where engineers can thrive while contributing to cutting-edge machine learning applications.
Chalk

Contact Detail:

Chalk Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Customer-Facing ML Platform Engineer

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those at Chalk. 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 showcasing your Python and SQL prowess, make sure to highlight them during interviews. It’s all about proving you can walk the walk!

✨Tip Number 3

Prepare for the tech talk! Brush up on common ML concepts and backend engineering principles. Being able to discuss these confidently will show you're not just a coder, but a problem solver too.

✨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, it shows you’re genuinely interested in joining the team at Chalk.

We think you need these skills to ace Customer-Facing ML Platform Engineer

Backend Engineering
Python
SQL
Communication Skills
Customer Support
Collaboration
Data Platform Development
Machine Learning Applications

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 straightforwardness, so keep it simple and to the point!

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 without any hiccups!

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 your past projects and how you've used these technologies to solve real-world problems. This will show that you’re not just familiar with the tools, but that you can apply them effectively.

✨Showcase Your Communication Skills

Since this role involves working closely with sales and engineering teams, practice explaining complex technical concepts in simple terms. You might be asked to demonstrate how you would onboard a new customer, so think about how you can make that process clear and engaging.

✨Prepare for Scenario-Based Questions

Expect questions that ask you to solve hypothetical problems or describe how you would handle specific situations. Think about challenges you've faced in previous roles and how you overcame them. This will help you illustrate your problem-solving skills and adaptability.

✨Research Chalk and Its Culture

Take some time to learn about Chalk’s mission, values, and recent projects. Understanding the company culture will not only help you tailor your answers but also show your genuine interest in the role. Plus, it’ll give you a chance to ask insightful questions at the end of the interview.

Customer-Facing ML Platform Engineer
Chalk

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