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- Tasks: Design and deploy ML models to enhance user experience in personalised wellbeing.
- Company: Health-focused eCommerce platform with a commitment to innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real difference in users' wellbeing.
- Qualifications: 4-6 years of ML experience and proficiency in Python and TensorFlow.
- Other info: Collaborative environment that encourages continual learning and improvement.
The predicted salary is between 36000 - 60000 £ per year.
A health-focused eCommerce platform is seeking a Machine Learning Engineer to develop their personalisation and intelligence systems. You will design, train, and deploy recommendation models that enhance user experience across various platforms.
Ideal candidates will have:
- 4-6 years of experience
- A solid grasp of modern ML frameworks like Python and TensorFlow
- A desire to innovate in personalised wellbeing
This role offers the chance to work in a dynamic environment that values collaboration and continual improvement.
ML Engineer – Personalised Recommendations & Wellbeing AI in London employer: Thehealthylivingstore
Contact Detail:
Thehealthylivingstore Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer – Personalised Recommendations & Wellbeing AI in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other ML enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving recommendation systems or wellbeing AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in ML frameworks like Python and TensorFlow. Practice common interview questions and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for innovative minds like yours. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace ML Engineer – Personalised Recommendations & Wellbeing AI in London
Some tips for your application 🫡
Show Your Passion for Personalisation: When writing your application, let us know why you're excited about personalisation and wellbeing AI. Share any relevant projects or experiences that highlight your enthusiasm for enhancing user experiences through machine learning.
Highlight Your Technical Skills: Make sure to showcase your expertise in Python and TensorFlow. We want to see how you've used these tools in real-world scenarios, so don’t hold back on the details—specific examples can really make you stand out!
Tailor Your Application: Take a moment to customise your application for this role. Mention how your 4-6 years of experience aligns with our needs and how you can contribute to our dynamic environment. A personalised touch goes a long way!
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. Plus, it’s super easy!
How to prepare for a job interview at Thehealthylivingstore
✨Know Your ML Frameworks
Make sure you brush up on your knowledge of Python and TensorFlow before the interview. Be ready to discuss specific projects where you've used these frameworks, as well as any challenges you faced and how you overcame them.
✨Showcase Your Personalisation Experience
Prepare examples of how you've developed recommendation models in the past. Highlight your understanding of user experience and how your work has positively impacted it. This will demonstrate your fit for the role and your passion for personalised wellbeing.
✨Emphasise Collaboration Skills
Since this role values collaboration, think of instances where you've worked effectively in a team. Be ready to share how you contributed to group projects and how you handle feedback and differing opinions.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest trends in machine learning and eCommerce, especially in the health sector. Being able to discuss current innovations or case studies will show your enthusiasm for the field and your commitment to continual improvement.
