Machine Learning Engineer
| Dyddiad hysbysebu: | 27 Mehefin 2025 |
|---|---|
| Cyflog: | £25,000 bob blwyddyn, pro rata |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 27 Gorffennaf 2025 |
| Lleoliad: | Wolverhampton, West Midlands |
| Gweithio o bell: | Hybrid - gweithio o bell hyd at 2 ddiwrnod yr wythnos |
| Cwmni: | The Big Phone Store |
| Math o swydd: | Parhaol |
| Cyfeirnod swydd: |
Crynodeb
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.
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.