Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and develop AI/ML models to enhance shopping experiences.
- Company: Join ShopQuick, a forward-thinking initiative redefining retail technology.
- Benefits: Gain hands-on experience, develop skills, and contribute to innovative projects.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Make a real impact in the retail sector while volunteering your skills.
- Qualifications: Experience in AI/ML, programming skills in Python or R, and teamwork abilities.
The predicted salary is between 30000 - 40000 £ per year.
Company Description
ShopQuick, a voluntary initiative under Novalink Innovations Limited, is dedicated to leveraging technology to redefine convenience in daily shopping experiences. Focused on innovation and customer satisfaction, the organization emphasizes seamless, user-friendly solutions in retail technology. Based in the United Kingdom, ShopQuick thrives on collaboration and creativity to empower communities and enhance shopping systems. As a volunteer-focused organization, we aim to foster skill development while contributing to cutting-edge technological applications.
Role Description
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; and collaborating with cross-functional teams to integrate intelligent systems into ShopQuick's operations. The AI/ML Engineer will also be responsible for optimizing algorithms, monitoring performance metrics, and staying updated with advancements in machine learning technologies while applying them to real-world challenges.
Qualifications
- 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.
- Familiarity with statistical modeling and algorithm development techniques.
- Problem-solving skills, a detail-oriented mindset, and the capacity to learn new technologies quickly.
- Excellent communication and teamwork abilities, especially in collaborative and cross-functional settings.
- A degree or ongoing studies in Computer Science, Data Science, Mathematics, or related fields is preferred.
- Previous experience in retail technology or volunteering roles is a plus.
Machine Learning Engineer 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
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow tech enthusiasts. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨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 explaining your thought process clearly and concisely, as communication is key when collaborating with cross-functional teams.
✨Tip Number 4
Don't forget to apply through our website! We love seeing passionate candidates who are eager to contribute to innovative projects at ShopQuick. Your next opportunity could be just a click away!
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with AI and machine learning, and don’t forget to mention any relevant projects or skills that align with what we’re looking for at ShopQuick.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your skills can contribute to our mission at ShopQuick. Keep it engaging and personal – we want to see your personality!
Showcase Your Projects: If you’ve worked on any cool projects related to machine learning or AI, make sure to include them in your application. We love seeing practical applications of your skills, so share links or descriptions of your work!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at ShopQuick (Novalink Innovations Limited)
✨Know Your Tech
Brush up on your knowledge of machine learning concepts and the specific technologies mentioned in the job description, like Python, TensorFlow, and PyTorch. Be ready to discuss how you've applied these tools in past projects or experiences.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex problems using AI/ML techniques. Think about specific challenges you've faced and how you approached them, as this will demonstrate your analytical thinking and creativity.
✨Collaboration is Key
Since the role involves working with cross-functional teams, be ready to talk about your teamwork experiences. Highlight instances where you've successfully collaborated with others to achieve a common goal, especially in tech-related projects.
✨Stay Updated and Curious
Show your passion for the field by discussing recent advancements in machine learning that excite you. This not only demonstrates your commitment to continuous learning but also aligns with ShopQuick's focus on innovation and technology.