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- Tasks: Develop and implement machine learning models to optimise business operations.
- Company: Join a leading innovator in the refurbished phone industry, leveraging AI for growth.
- Benefits: Enjoy flexible hours, remote work options, and perks like birthday leave and staff discounts.
- Why this job: Make a real impact while collaborating with a creative team in a supportive environment.
- Qualifications: Strong knowledge of AI, excellent communication skills, and a passion for data-driven solutions.
- Other info: Permanent role with mentorship and career development opportunities in a diverse workplace.
The predicted salary is between 25000 - 35000 £ per year.
Machine Learning Engineer – Hybrid Role
Location: Wolverhampton (Hybrid)
Salary: Starting at £25,000 per year
Full-Time Position
Are you passionate about AI and machine learning, and eager to apply your skills to real-world business challenges? We’re looking for a talented Machine Learning Engineer to join our team and help drive innovation in the fast-growing refurbished phone industry. This is an exciting opportunity to work on cutting-edge projects, collaborate with a forward-thinking team, and make a tangible impact on our business.
Key Responsibilities:
• Develop & Implement Models: Design and build machine learning models to optimize various aspects of our business, from inventory management to customer insights.
• Present Insights: Clearly communicate AI-driven insights and solutions to stakeholders at all levels, turning complex data into actionable business strategies.
• Collaborate Across Teams: Work closely with stakeholders from different departments to identify key business areas where AI can add value and improve efficiency.
• Foster Positive Team Culture: Contribute to a collaborative and humble working environment, sharing knowledge and learning from others.
Requirements:
• Strong Knowledge of AI & Machine Learning: Solid understanding of machine learning algorithms, data structures, and model development.
• Excellent Communication Skills: Ability to present complex ideas in a clear and concise way to both technical and non-technical stakeholders.
• Team-Oriented: Collaborative mindset with a passion for working with diverse teams and contributing to a positive work environment.
• Data-Driven Passion: A strong analytical background or deep passion for working with data to solve business problems.
• Results-Oriented: Self-motivated with a positive attitude and a strong sense of urgency to deliver solutions.
• Hungry for Growth: A proactive mindset and eagerness to take on challenges and make an impact.
Why Join Us?
• Be part of an innovative company at the forefront of the refurbished phone industry, using AI to drive business growth and operational efficiency.
• Join a supportive, creative, and dynamic team that thrives on collaboration and continuous learning.
• With mentorship, hands-on experience, and room for career development, you’ll have the chance to take your skills to the next level.
Company Perks:
• Permanent Role: A stable, long-term career with room to grow.
• Work-Life Balance: Flexible working hours and the ability to work from home.
• Employee Wellbeing: Sick pay, birthday off (paid!), and additional holidays for every year of service.
• Perks: Staff discounts, social events, free onsite parking, and a pension scheme.
• A Culture of Growth: Mentorship, training, and career advancement opportunities.
• Commitment to Diversity: We are an equal opportunities employer, committed to diversity, equality, and inclusion since 1999.
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Machine Learning Engineer employer: The Big Phone Store
Contact Detail:
The Big Phone Store Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with the latest machine learning frameworks and tools that are relevant to our industry. Being able to discuss your hands-on experience with these technologies during interviews can set you apart from other candidates.
✨Tip Number 2
Prepare to showcase your ability to communicate complex ideas clearly. Consider practising how you would explain a recent project or model you've worked on to someone without a technical background, as this is crucial for the role.
✨Tip Number 3
Network with professionals in the AI and machine learning community. Attend meetups or webinars to connect with others in the field, which can lead to valuable insights and potential referrals for our open position.
✨Tip Number 4
Demonstrate your passion for data-driven solutions by preparing examples of how you've used data to solve real-world problems. This will show us your analytical mindset and results-oriented approach, which are key for this role.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience and skills relevant to machine learning and AI. Focus on specific projects or roles where you've developed models or worked with data, as this will resonate with the company's needs.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and machine learning. Mention how your skills can contribute to the company's goals in the refurbished phone industry, and provide examples of how you've communicated complex ideas effectively.
Showcase Your Communication Skills: Since excellent communication is key for this role, consider including a section in your application that demonstrates your ability to present insights clearly. You could reference past experiences where you successfully conveyed technical information to non-technical stakeholders.
Highlight Team Collaboration: Emphasise your team-oriented mindset by sharing examples of successful collaborations in previous roles. This could include projects where you worked with diverse teams to achieve common goals, showcasing your ability to foster a positive team culture.
How to prepare for a job interview at The Big Phone Store
✨Showcase Your Technical Skills
Be prepared to discuss your knowledge of machine learning algorithms and data structures. Bring examples of models you've developed or worked on, and be ready to explain your thought process behind them.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. Since you'll need to present insights to both technical and non-technical stakeholders, demonstrating your ability to communicate effectively is crucial.
✨Demonstrate Team Spirit
Highlight your collaborative experiences. Share examples of how you've worked with diverse teams to solve problems or improve processes, as this role values a team-oriented mindset.
✨Express Your Passion for Growth
Convey your eagerness to learn and take on challenges. Discuss any recent projects or courses you've undertaken to enhance your skills, showing that you're proactive about your professional development.
