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- Tasks: Design and deploy machine learning models to drive efficiency and growth.
- Company: Join a forward-thinking company in Wolverhampton with a hybrid work culture.
- Benefits: Starting salary of £25,000, flexible hours, extra holidays, and paid birthday off.
- Why this job: Make a real impact with your models in a fast-growing industry.
- Qualifications: Strong understanding of AI/ML concepts and excellent communication skills.
- Other info: Enjoy a collaborative environment with mentorship and career progression opportunities.
The predicted salary is between 25000 - 35000 £ per year.
Location: Wolverhampton (Hybrid)
Salary: Starting at £25,000 per year
Full-Time Position
What You'll Do:
- Design & Deploy Models: build practical machine learning solutions to improve efficiency and growth
- Turn Data into Strategy: translate insights into actions for stakeholders across the business
- Collaborate Cross-Functionally: work with marketing, operations, and product teams to identify AI opportunities
- Contribute to Team Growth: share knowledge, support colleagues, and learn in a collaborative environment
Who You Are:
- AI/ML Skilled: strong understanding of algorithms, data structures, and model development
- Clear Communicator: able to explain technical ideas simply to non-technical teams
- Team-Oriented: thrive in collaborative settings with a problem-solving mindset
- Data-Driven: passionate about using data to uncover business opportunities
- Ambitious & Curious: proactive and eager to grow with hands-on challenges
Why Join Us?
- Impactful Work: See your models influence real business outcomes in a fast-growing industry
- Career Growth: Mentorship, continuous training, and clear progression pathways
- Flexibility & Balance: Hybrid working, flexible hours, extra holidays with service
- Perks & Benefits: Paid birthday off, staff discounts, pension scheme, free parking, and regular socials
- Inclusive Culture: Proud equal opportunities employer since 1999
Applied Machine Learning Engineer in Wolverhampton employer: The Big Phone Store
Contact Detail:
The Big Phone Store Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Machine Learning Engineer in Wolverhampton
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues 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 practising common questions and scenarios related to AI/ML. Think about how you can explain complex concepts simply, as you'll need to communicate effectively with non-technical teams.
✨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, we love seeing candidates who are proactive about joining our team!
We think you need these skills to ace Applied Machine Learning Engineer in Wolverhampton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your AI/ML skills and experience. We want to see how you've designed and deployed models, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how you can contribute to our team. Keep it clear and engaging.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! We love seeing practical examples of your work, especially if they demonstrate your problem-solving skills.
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 The Big Phone Store
✨Know Your Algorithms
Brush up on your understanding of machine learning algorithms and data structures. Be ready to discuss how you've applied these in past projects, as this will show your technical prowess and ability to design and deploy models effectively.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. Since you'll be collaborating with non-technical teams, being able to convey your ideas clearly will demonstrate your communication skills and make you a valuable team member.
✨Show Your Team Spirit
Prepare examples of how you've worked collaboratively in the past. Highlight instances where you've supported colleagues or contributed to team growth, as this aligns perfectly with the role's emphasis on teamwork and problem-solving.
✨Be Data-Driven
Come equipped with insights from your previous experiences where data led to actionable strategies. This will showcase your passion for using data to uncover business opportunities and your alignment with the company's goals.
