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 48000 - 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
- Excellent communication abilities
The position allows for fully remote work within UK-compatible timezones.
Senior ML Engineer: Retail Intelligence & Recommendations in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to folks in the retail tech space, especially those who work with machine learning. A friendly chat can open doors and give you insights that might just land you that interview.
✨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 your backend engineering prowess and how you can make an impact in retail.
✨Tip Number 3
Prepare for the interview by brushing up on your communication skills. You’ll be collaborating with the CEO and CTO, so being able to explain complex concepts in simple terms is key. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior ML Engineer: Retail Intelligence & Recommendations in London
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, ensure your application is clear and concise. We appreciate candidates who can articulate their thoughts well, especially when collaborating with our CEO and CTO.
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 in a fully remote role within UK-compatible timezones.
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 your past projects, especially those related to product recommendations. The interviewers will want to see how you can leverage existing ML capabilities in a retail context.
✨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 how you've optimised systems or improved performance in previous roles. This will demonstrate your technical prowess and problem-solving abilities.
✨Communicate Clearly
Excellent communication is key, especially when collaborating with the CEO and CTO. Practice explaining complex ML concepts in simple terms. This will show that you can bridge the gap between technical and non-technical stakeholders, which is vital for making an impact in retail experiences.
✨Be Ready for Remote Work Questions
As this position allows for fully remote work, be prepared to discuss your experience working remotely. Share strategies you use to stay productive and engaged, and how you maintain effective communication with your team. This will reassure them that you can thrive in a remote environment.
