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Machine Learning Engineer

Job details
Posting date: 04 December 2024
Salary: £25,000 per year, pro rata
Hours: Full time
Closing date: 03 January 2025
Location: Wolverhampton, West Midlands
Remote working: Hybrid - work remotely up to 2 days per week
Company: The Big Phone Store
Job type: Permanent
Job reference:

Summary

Machine Learning Engineer

Hybrid Role

Full Time

Wolverhampton

Starting salary £25,000


Key Responsibilities:
• Develop and implement machine learning models to optimize various aspects of our business.
• Present AI-driven insights and solutions to stakeholders clearly and effectively.
• Collaborate with stakeholders to identify business areas where AI can add value.
• Work closely with team members, fostering a positive and humble working environment.

Requirements:
• Strong knowledge of AI and machine learning concepts.
• Excellent communication skills for presenting ideas to stakeholders.
• Ability to work collaboratively with team members and stakeholders.
• Analytical background or a deep passion for data.
• Result-driven, hardworking, and positive attitude.
• Individuals who are hungry doers who have passion to achieve
• Have a sense of urgency and able to come up with solutions.

Why Join Us?
Be part of an innovative company in the growing refurbished phone industry.
Contribute to meaningful projects that directly impact our business.
Engage with a team that values creativity, collaboration, and a positive work culture.

Company Perks:
• Permanent position
• Industry sector – Recession Proof
• Flexible working hours
• Staff discounts
• Pension scheme
• Days out and other social events
• Free onsite parking
• Equal opportunities employer fully committed to diversity, equality, and inclusion since 1999
• Birthdays off and paid for without having to use any holiday entitlement
• Up to 28 days of paid holiday
• One extra day holiday rewarded for every year of service from year 2


How to Apply:
We welcome applicants from all backgrounds. If you're excited about leveraging AI to drive business success and want to be part of a forward-thinking team, apply now!