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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.
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.
Machine Learning Engineer employer: The Big Phone Store UK
Contact Detail:
The Big Phone Store UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning. Follow industry leaders on social media, read relevant blogs, and participate in online forums to stay updated. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Prepare to discuss specific projects where you've applied machine learning techniques. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will showcase your practical experience and problem-solving skills.
✨Tip Number 3
Practice your communication skills by explaining complex machine learning concepts to a non-technical audience. This will help you articulate your ideas clearly during interviews, especially since the role requires presenting insights to stakeholders at all levels.
✨Tip Number 4
Network with professionals in the AI and machine learning community. Attend meetups, webinars, or conferences to connect with others in the field. Building relationships can lead to valuable referrals and insights about job opportunities, including our openings at StudySmarter.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI and machine learning. Include specific projects or roles where you've developed models or worked with data, as this will resonate with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and machine learning. Mention how your skills align with the company's goals and how you can contribute to their innovative projects in the refurbished phone industry.
Showcase Communication Skills: In your application, emphasise your ability to present complex ideas clearly. Provide examples of how you've communicated technical concepts to non-technical stakeholders in previous roles.
Highlight Team Collaboration: Demonstrate your team-oriented mindset by including examples of successful collaborations. Mention any cross-departmental projects you've been involved in and how they led to positive outcomes.
How to prepare for a job interview at The Big Phone Store UK
✨Showcase Your Technical Skills
Be prepared to discuss your knowledge of machine learning algorithms and data structures. Bring examples of projects you've worked on, and be ready to explain the models you developed and their impact.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. Since you'll need to present insights to both technical and non-technical stakeholders, clarity is key. Use relatable examples to demonstrate your points.
✨Demonstrate Team Spirit
Highlight your collaborative experiences. Share instances where you worked with diverse teams to solve problems or improve processes, showing that you value a positive team culture.
✨Express Your Passion for Growth
Convey your eagerness to learn and take on challenges. Discuss how you stay updated with industry trends and your proactive approach to personal and professional development.
