Hybrid ML Engineer, Production & Data Platforms

Hybrid ML Engineer, Production & Data Platforms

Full-Time 50000 - 70000 € / year (est.) Home office (partial)
WeAreTechWomen

At a Glance

  • Tasks: Join a team to enhance customer service with innovative machine learning solutions.
  • Company: WeAreTechWomen, partnering with Tesco for cutting-edge technology projects.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for growth.
  • Other info: Collaborative environment with a focus on innovation and career advancement.
  • Why this job: Make a real difference in tech while working on impactful projects.
  • Qualifications: Higher degree in relevant fields and experience in data science and software development.

The predicted salary is between 50000 - 70000 € per year.

WeAreTechWomen seeks a Machine Learning Engineer to contribute to delivering products in Tesco's strategic technology areas. You will collaborate with engineers, data scientists, and product managers to improve customer service through scalable solutions.

Candidates should have a higher degree in relevant fields and significant experience in data science and software development. A hybrid working model is offered, blending office and remote work.

Hybrid ML Engineer, Production & Data Platforms employer: WeAreTechWomen

At Tesco, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation. Our hybrid working model allows for flexibility, ensuring a healthy work-life balance while providing ample opportunities for professional growth and development in the rapidly evolving field of technology. Join us to be part of a team that values your contributions and is committed to enhancing customer experiences through cutting-edge solutions.

WeAreTechWomen

Contact Detail:

WeAreTechWomen Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Hybrid ML Engineer, Production & Data Platforms

Tip Number 1

Network like a pro! Reach out to people in the industry, especially those working at Tesco or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects in machine learning and data science. This is your chance to demonstrate what you can do beyond your CV, so make it shine!

Tip Number 3

Prepare for the tech interview! Brush up on your coding skills and be ready to discuss your past projects in detail. Practising common ML problems can help you feel more confident when it’s time to impress.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, we love seeing candidates who are proactive!

We think you need these skills to ace Hybrid ML Engineer, Production & Data Platforms

Machine Learning
Data Science
Software Development
Collaboration
Scalable Solutions
Problem-Solving
Communication Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience in data science and software development. We want to see how your skills align with the role of a Machine Learning Engineer, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the opportunity at Tesco and how you can contribute to improving customer service through scalable solutions. Let your personality come through!

Showcase Your Collaboration Skills:Since you'll be working closely with engineers, data scientists, and product managers, it’s important to highlight any teamwork experiences. We love to see examples of how you've successfully collaborated on projects in the past.

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 don’t miss out on any important updates regarding your application status!

How to prepare for a job interview at WeAreTechWomen

Know Your Tech Inside Out

Make sure you brush up on your machine learning concepts and the latest technologies relevant to the role. Be prepared to discuss your previous projects in detail, especially those that involved data science and software development.

Showcase Collaboration Skills

Since you'll be working with engineers, data scientists, and product managers, highlight your teamwork experiences. Prepare examples of how you've successfully collaborated on projects and improved outcomes through effective communication.

Understand Tesco's Strategic Goals

Research Tesco's current technology initiatives and how they relate to customer service. Being able to discuss how your skills can contribute to their goals will show that you're genuinely interested in the position and the company.

Prepare for Hybrid Work Questions

As this role offers a hybrid working model, think about how you manage your time and productivity in both office and remote settings. Be ready to share strategies that have worked for you in the past.