Applied Machine Learning Engineer

The Big Phone Store
Wolverhampton
5 months ago
Create job alert
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


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer - LLM

Lead Machine Learning Engineer, Gen AI

Machine Learning Engineer (Forward Deployed)

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.