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- Tasks: Design and build machine learning models to create innovative AI solutions.
- Company: Leading retail company in Nottingham with a focus on real-world impact.
- Benefits: Competitive salary, collaborative environment, and opportunities for innovation.
- Why this job: Join a team making a significant impact in retail and healthcare through AI.
- Qualifications: Strong Python skills and understanding of machine learning techniques required.
- Other info: Dynamic role with opportunities for collaboration and professional growth.
The predicted salary is between 30000 - 50000 £ per year.
A leading retail company in Nottingham is seeking a Machine Learning Engineer to join their AI & ML Engineering team. In this role, you will design and build machine learning models and develop innovative AI solutions impacting various sectors including retail and healthcare.
The ideal candidate will have strong Python skills, understanding of machine learning techniques, and experience with data manipulation. This position fosters collaboration and innovation, making a significant contribution to the company's journey toward smarter technology.
Generative AI & ML Engineer — Real-World Impact in Nottingham employer: Specsavers
Contact Detail:
Specsavers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI & ML Engineer — Real-World Impact in Nottingham
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML space, especially those working in retail or healthcare. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨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, let your work speak for itself and demonstrate your Python prowess.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and techniques. We recommend practising coding challenges and discussing your past projects to highlight your experience with data manipulation.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Generative AI & ML Engineer — Real-World Impact in Nottingham
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python skills and any experience you have with machine learning techniques. We want to see how your background aligns with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your experience can contribute to our AI & ML Engineering team and the impact we aim to make in sectors like retail and healthcare.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s relevant to the role. Let’s keep it simple!
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!
How to prepare for a job interview at Specsavers
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with libraries like NumPy, Pandas, and TensorFlow, as these are crucial for building machine learning models.
✨Showcase Your ML Knowledge
Prepare to talk about different machine learning techniques you've used in past projects. Whether it's supervised learning, unsupervised learning, or reinforcement learning, having specific examples will demonstrate your expertise.
✨Data Manipulation is Key
Since data manipulation is a big part of this role, be prepared to discuss how you've handled data in previous projects. Bring examples of how you've cleaned, transformed, and analysed data to derive insights.
✨Emphasise Collaboration and Innovation
This position values teamwork and creativity, so think of instances where you've collaborated with others to solve problems or innovate solutions. Highlighting your ability to work well in a team will set you apart.
