Applied Machine Learning Engineer

Career Choices Dewis Gyrfa Ltd
Wolverhampton
3 days 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

Applied Machine Learning Engineer

Machine Learning Engineer

Applied Machine Learning Lead

Applied Machine Learning Lead

Applied Machine Learning Lead

Applied Machine Learning Lead

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.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.