Applied Machine Learning Engineer

The Big Phone Store; Wolverhampton; Hybrid; GBP 125,000 - 150,000; Full time

Job summary

A technology retail company is seeking an Applied Machine Learning Engineer for a hybrid role in Wolverhampton. You will design and deploy machine learning models to enhance business efficiency and collaborate with cross-functional teams. Ideal candidates should possess strong AI/ML skills, be clear communicators, and have a proactive and data-driven mindset. Benefits include a flexible working environment and career growth opportunities.

Benefits

Paid birthday off

Staff discounts

Pension scheme

Free parking

Regular socials

Qualifications

• Strong understanding of algorithms and model development.
• Ability to explain technical ideas simply.
• Team-oriented with a problem-solving mindset.

Responsibilities

• Design and deploy models to improve efficiency.
• Translate data insights into actionable strategies.
• Collaborate with teams to identify AI opportunities.

Skills

AI/ML understanding

Communication skills

Team collaboration

Data-driven mindset

Proactive attitude

Job description

Overview

Applied Machine Learning Engineer – Hybrid Role

Location: Wolverhampton (Hybrid)

Salary: Starting at £25,000 per year

Full-Time Position

What You'll Do

• 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

Who You Are

• 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

Why Join Us?

• 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