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- Tasks: Design and develop AI/ML models to revolutionise shopping experiences.
- Company: Join ShopQuick, a creative initiative under Novalink Innovations Limited.
- Benefits: Gain hands-on experience in a hybrid remote role while making a difference.
- Other info: Perfect for students in Computer Science or related fields seeking impactful volunteer work.
- Why this job: Be at the forefront of technology, solving real-world challenges with AI.
- 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.
Proficiency in programming languages like Python or R, with experience in using libraries such as TensorFlow, PyTorch, or Scikit-learn.
Strong data management skills, including data preprocessing, cleaning, and the ability to work with large data sets efficiently.
A degree or ongoing studies in Computer Science, Data Science, Mathematics, or related fields is preferred.
Machine Learning Engineer - Hybrid 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 - Hybrid Remote
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 machine learning projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨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, so let your passion for AI shine through!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications come directly from motivated candidates. Plus, it shows you're genuinely interested in being part of our mission at ShopQuick.
We think you need these skills to ace Machine Learning Engineer - Hybrid 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 projects where you've used TensorFlow or PyTorch.
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 ShopQuick's mission to enhance shopping systems.
Showcase Your Projects: If you've worked on any AI/ML projects, be sure to mention them! Include links to your GitHub or any relevant portfolios to give us a taste of your coding skills and creativity.
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 don’t miss out on any important updates from us!
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 datasets. 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 any recent trends or technologies you've been following, and how they could apply to ShopQuick's mission of enhancing shopping systems.
✨Collaborate and Communicate
Since this role thrives on collaboration, be prepared to discuss how you work in teams. Share experiences where you’ve collaborated on projects, and highlight your communication skills. This will show that you can contribute positively to the team dynamic at ShopQuick.