At a Glance
- Tasks: Lead the development of ML platforms and create innovative solutions that drive business success.
- Company: A top retail company in the UK with a focus on diversity and inclusion.
- Benefits: Generous salary, annual bonus scheme, and a commitment to your growth.
- Why this job: Join a dynamic team and make a real impact through cutting-edge machine learning.
- Qualifications: Expertise in software engineering and machine learning required.
- Other info: Collaborative environment with opportunities for career advancement.
The predicted salary is between 48000 - 72000 Β£ per year.
A leading retail company in the UK seeks a Principal Software Development Engineer for its Data Science Engineering team. The role involves guiding ML-driven platforms and innovating solutions that impact business outcomes.
Required are expertise in software engineering and machine learning, with responsibilities including architecture definition and team collaboration.
Benefits include a generous salary and an annual bonus scheme, alongside a commitment to diversity and inclusion.
Senior ML Platform Engineer: Personalisation & Innovation in Welwyn Garden City employer: Tesco
Contact Detail:
Tesco Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Senior ML Platform Engineer: Personalisation & Innovation in Welwyn Garden City
β¨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in ML and software engineering. A friendly chat can open doors that a CV just can't.
β¨Tip Number 2
Showcase your skills! Create a portfolio or GitHub repo with your projects. When you apply through our website, include links to your work to impress the hiring team.
β¨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common ML scenarios and be ready to discuss how you've driven innovation in past roles.
β¨Tip Number 4
Follow up after interviews! A quick thank-you email can keep you top of mind and show your enthusiasm for the role. Plus, itβs a great way to reiterate your fit for the position.
We think you need these skills to ace Senior ML Platform Engineer: Personalisation & Innovation in Welwyn Garden City
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your experience in software engineering and machine learning. We want to see how your skills align with the role, so donβt 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 youβre passionate about personalisation and innovation in ML platforms. We love seeing genuine enthusiasm, so let your personality come through!
Showcase Team Collaboration: Since this role involves working closely with others, share examples of how you've successfully collaborated in past projects. We value teamwork, so let us know how youβve contributed to a positive team environment!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you donβt miss out on any important updates!
How to prepare for a job interview at Tesco
β¨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and frameworks. Be ready to discuss your experience with ML-driven platforms and how you've used them to innovate solutions in past roles.
β¨Showcase Your Software Engineering Skills
Prepare to talk about your software engineering expertise, especially in architecture definition. Have examples ready that demonstrate your ability to design scalable systems and collaborate effectively with teams.
β¨Understand the Companyβs Values
Research the companyβs commitment to diversity and inclusion. Be prepared to discuss how you can contribute to these values within the team and the broader organisation.
β¨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current projects, challenges they face in ML, and how the team collaborates to drive business outcomes.