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- Tasks: Design and develop AI/ML models to enhance shopping experiences.
- Company: Join ShopQuick, a forward-thinking initiative under Novalink Innovations.
- Benefits: Gain hands-on experience in a fully remote volunteer role.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Make a real impact by applying your skills to innovative projects.
- Qualifications: Experience in machine learning and proficiency in Python or R required.
The predicted salary is between 30000 - 40000 £ per year.
ShopQuick, a voluntary initiative under Novalink Innovations Limited, is dedicated to leveraging technology to redefine convenience in daily shopping experiences. Based in the United Kingdom, ShopQuick thrives on collaboration and creativity to empower communities and enhance shopping systems.
This is an on-site volunteer role for an AI/ML Engineer, located in the United Kingdom. The role involves:
- Designing, developing, and testing AI and machine learning models
- Pre-processing and analyzing large data sets
- Optimizing algorithms and monitoring performance metrics
- Staying updated with advancements in machine learning technologies and applying them to real-world challenges
Experience in Machine Learning and Artificial Intelligence, including fundamental concepts and applications is required. Proficiency in programming languages like Python or R, with experience in using libraries such as TensorFlow, PyTorch, or Scikit-learn is essential. Strong data management skills, including data preprocessing, cleaning, and the ability to work with large data sets efficiently are necessary. A degree or ongoing studies in Computer Science, Data Science, Mathematics, or related fields is preferred.
Machine Learning Engineer - Fully Remote employer: ShopQuick (Novalink Innovations Limited)
Contact Detail:
ShopQuick (Novalink Innovations Limited) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer - Fully Remote
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, join relevant online communities, and attend meetups. 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 AI and machine learning. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and algorithms. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to make a difference. Your next opportunity could be just a click away!
We think you need these skills to ace Machine Learning Engineer - Fully Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that are relevant to the Machine Learning Engineer role. Highlight your proficiency in Python or R, and any experience with libraries like TensorFlow or PyTorch. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and machine learning, and how your background aligns with our goals at ShopQuick. Let us know what excites you about this opportunity!
Showcase Your Projects: If you've worked on any relevant projects, whether academic or personal, make sure to include them in your application. We love seeing practical applications of your skills, so share your successes and challenges in developing AI models!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. We can't wait to hear from you!
How to prepare for a job interview at ShopQuick (Novalink Innovations Limited)
✨Know Your Tech
Make sure you brush up on your knowledge of machine learning concepts and the programming languages mentioned in the job description, like Python or R. Be ready to discuss specific libraries such as TensorFlow or PyTorch, and maybe even share a project where you used them.
✨Showcase Your Data Skills
Prepare to talk about your experience with data management. Think of examples where you've pre-processed or cleaned large data sets. Being able to explain your approach to handling data will show that you can tackle real-world challenges effectively.
✨Stay Updated
The field of AI and machine learning is always evolving, so make sure you're aware of the latest advancements. Bring up recent trends or technologies during the interview to demonstrate your passion and commitment to staying current in the industry.
✨Collaborate and Communicate
Since ShopQuick values collaboration, be prepared to discuss how you've worked in teams before. Share examples of how you’ve contributed to group projects, especially in tech environments, and highlight your communication skills to show you can work well with others.