Applied Machine Learning Engineer

The Big Phone Store
Wolverhampton, United Kingdom
25 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 25K

Job location

Remote
Wolverhampton, United Kingdom

Tech stack

Artificial Intelligence
Data Structures
Machine Learning

Job description

  • 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

Requirements

  • 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

Benefits & conditions

  • 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

About the company

At The Big Phone Store, we're combining AI with the refurbished tech industry to create smarter processes, sharper insights, and better customer experiences. From predicting demand to optimising inventory and pricing, your work won't just live in code - it will drive decisions that shape our business every day.

Apply for this position