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- Tasks: Design and build machine learning models to create intelligent solutions that change lives.
- Company: Join Specsavers, a leader in vision and hearing innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make a real-world impact with cutting-edge AI projects across various sectors.
- Qualifications: Strong Python skills, experience with ML techniques, and great communication abilities.
- Other info: Collaborative environment focused on innovation and ethical practices.
The predicted salary is between 36000 - 60000 £ per year.
We’re on a mission to change lives through better sight and hearing and we believe machine learning and AI are key to making that happen. That’s why we’re looking for a Machine Learning Engineer to join our growing AI & ML Engineering team. If you’re excited by the idea of building intelligent solutions that make a real-world impact, this could be the role for you.
This is your chance to work on some of the most exciting and forward-thinking projects in the business. You’ll be designing and building machine learning models, developing generative AI solutions, and helping us shape the future of AI agents across a global organisation. From supply chain and marketing to clinical and in-store experiences, your work will touch every part of the Specsavers journey.
You’ll collaborate with data engineers, MLOps specialists, and product owners to bring ideas to life turning complex challenges into smart, scalable solutions. We’re looking for someone who’s hands‑on, curious, and ready to make a difference.
You’ll need strong experience in Python especially with the scikit learn ecosystem and MLFlow and be confident working with SQL to manipulate and cleanse large datasets. You’ll have a solid understanding of both supervised and unsupervised machine learning techniques, and you’ll know how to evaluate and deploy models in a cloud environment.
Experience with AI APIs, pretrained open‑source models, and tools like Databricks or Azure Cognitive Services will be a big plus. If you’ve worked on end‑to‑end Gen AI solutions or have applied ML in retail or ecommerce settings, we definitely want to hear from you.
You’ll also need to be a great communicator able to explain complex technical ideas in a clear, compelling way to non‑technical stakeholders. And just as importantly, you’ll bring a strong ethical mindset, a collaborative spirit, and a genuine enthusiasm for learning and innovation.
So, are you ready to help us unlock the power of AI? If you’re looking for a role where you can innovate, collaborate, and see the real-world impact of your work we’d love to hear from you. Join Specsavers and help us build a smarter, more connected future.
Machine Learning Engineer in Nottingham employer: Specsavers
Contact Detail:
Specsavers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Nottingham
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow Machine Learning 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 machine learning projects, especially those that demonstrate your experience with Python, SQL, and AI solutions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to explain complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our mission to make a real-world impact.
We think you need these skills to ace Machine Learning Engineer in Nottingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Machine Learning Engineer role. Highlight your Python expertise, especially with scikit-learn and MLFlow, and don’t forget to mention any experience with SQL and cloud environments.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re excited about the opportunity at Specsavers. Share specific examples of how you've applied machine learning in real-world scenarios, especially in retail or ecommerce settings, to show us your hands-on experience.
Showcase Your Communication Skills: Since you'll be explaining complex ideas to non-technical stakeholders, make sure your application demonstrates your ability to communicate clearly. Use straightforward language and avoid jargon where possible to show us you can bridge the gap between tech and business.
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 the role. Plus, it shows us you’re keen on joining our mission to change lives through better sight and hearing!
How to prepare for a job interview at Specsavers
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, especially with the scikit-learn ecosystem and MLFlow. Brush up on your SQL skills too, as you'll need to manipulate and cleanse large datasets. Being able to discuss your technical expertise confidently will impress the interviewers.
✨Showcase Real-World Impact
Prepare examples of how your work has made a difference in previous roles, particularly in machine learning applications. If you've worked on end-to-end Gen AI solutions or applied ML in retail or e-commerce, be ready to share those experiences and the outcomes they achieved.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You’ll need to demonstrate that you can communicate effectively with non-technical stakeholders. Consider doing mock interviews with friends or colleagues to refine your ability to convey your ideas clearly.
✨Emphasise Collaboration and Ethics
Be prepared to discuss your collaborative spirit and ethical mindset. Share examples of how you’ve worked with cross-functional teams and how you approach ethical considerations in AI. This will show that you align with the company’s values and are ready to contribute positively to their mission.
