Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and optimise intelligent systems for product recommendations in retail.
- Company: Cutting-edge retail technology company with a focus on innovation.
- Benefits: Fully remote work, competitive salary, and opportunities for significant impact.
- Why this job: Collaborate with top executives and shape the future of retail experiences.
- Qualifications: Strong backend engineering skills and experience in machine learning.
- Other info: Work within UK-compatible timezones and enjoy a dynamic work environment.
The predicted salary is between 43200 - 72000 £ per year.
A cutting-edge retail technology company is seeking a Senior Machine Learning Engineer to design and optimize intelligent systems for product recommendations. The role involves leveraging existing ML capabilities, directly collaborating with the CEO and CTO, and has opportunities for significant impact on retail experiences.
Ideal candidates should have strong backend engineering skills, experience in machine learning, and excellent communication abilities. The position allows for fully remote work within UK-compatible timezones.
Senior ML Engineer: Retail Intelligence & Recommendations employer: Cloudshelf Limited
Contact Detail:
Cloudshelf Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer: Retail Intelligence & Recommendations
✨Tip Number 1
Network like a pro! Reach out to folks in the retail tech space, especially those who work with ML. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those related to recommendations. This is your chance to demonstrate how you can make a real impact in retail.
✨Tip Number 3
Prepare for the interview by brushing up on your backend engineering knowledge. Be ready to discuss how you can leverage existing ML capabilities to optimise systems. We want to see your thought process!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior ML Engineer: Retail Intelligence & Recommendations
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your backend engineering skills and any relevant machine learning experience in your application. We want to see how you can leverage your expertise to design and optimise intelligent systems for product recommendations.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Senior ML Engineer role. Mention how your past experiences align with our mission to enhance retail experiences through cutting-edge technology.
Communicate Clearly: Since excellent communication is key for this role, ensure your application is clear and concise. We appreciate straightforwardness, so make it easy for us to understand your journey and how you can contribute to our 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 this exciting opportunity to work closely with our CEO and CTO!
How to prepare for a job interview at Cloudshelf Limited
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and algorithms. Be ready to discuss how you've applied these in past projects, especially in the context of product recommendations. The interviewers will want to see your depth of knowledge and practical experience.
✨Show Off Your Backend Skills
Since strong backend engineering skills are crucial for this role, prepare to talk about your experience with backend technologies. Bring examples of systems you've designed or optimised, and be ready to explain your thought process and the impact of your work.
✨Communicate Clearly
Excellent communication is key, especially when collaborating with the CEO and CTO. Practice explaining complex technical concepts in simple terms. This will not only showcase your understanding but also demonstrate your ability to work effectively with non-technical stakeholders.
✨Understand the Retail Landscape
Familiarise yourself with current trends in retail technology and how machine learning is shaping customer experiences. Being able to discuss these topics will show your enthusiasm for the industry and your potential to make a significant impact in the role.
