Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.
Industry Insights
Discover insightful articles, industry insights, expert tips, and curated resources.
How to Get a Better Machine Learning Job After a Lay-Off or Redundancy
Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.
MachineâŻLearning Jobs SalaryâŻCalculatorâŻ2025: Figure Out Your True Worth in Seconds
Why last yearâs pay survey is useless for UK ML professionals today Ask a MachineâŻLearning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3âŻa.m.: âAm I earning what I deserve?â The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vectorâsearch expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebookâmissing the genâAI tsunami, the surge in edge inference, & the UKâs new ResponsibleâAI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, threeâfactor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; youâll receive a defensible figureâno stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.
How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers
Machine learning is driving change across nearly every industryâfrom retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, youâll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.