Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

PHP Developer

Wirral
1 year ago
Applications closed

Software Developer - PHP, JavaScript

Automation Solutions, mainly remote

Innovative business leader in Automation Technology are looking for an experienced Software Developer to join their growing team. The software will simplify complex business processes using AI driven automation.

Their tech stack includes PHP with Symfony, JavaScript, Python, and MySQL/MariaDB

Your responsibilities:

  • Write clean, efficient code using PHP (Symfony framework), JavaScript, and Python
  • Work with SQL databases to manage and optimise data flow, and handle reporting.
  • Participate in integrating AI technologies for intelligent business automation
  • Troubleshoot and debug issues to improve platform performance
  • Contribute ideas for new features and AI-driven improvements

    You will have great experience working on large B2B SaaS applications with complex architecture, experience in developing different features of an application along with client facing skills.

    Your technical background
  • Solid foundation in PHP and JavaScript
  • Familiarity with Symfony framework (or willingness to learn quickly)
  • Basic understanding of SQL
  • Basic understanding of Linux
  • Interest in AI and machine learning applications in business automation
  • Excellent communication skills and ability to work in a remote team

    This role will predominatly be remote with monthly meetings in the Liverpool area

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.

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

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.