Senior PHP Developer

True9
Liverpool
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Developer - Stevenage

Senior Data Scientist, algorithm development

Senior Data Scientist

Senior Data Engineer

Senior Data Engineer

Principal Data Scientist

Job Title:Senior PHP Developer / Software Engineer


Location:Remote with a Monthly Team Day (Expenses Paid)


Employment Type:Full-Time


About Us

We're True9. A fully remote, independent tech consultancy based in Halifax. With the agility of a start-up and the stability of a 9-year-old business, we're entering a period of growth. Join our high-performing team of talented individuals as we embark on this exciting journey.


Role Overview

Are you a passionate developer looking to take the next step in your career? Do you enjoy writing clean, efficient code and solving challenging technical problems? True9 is seeking a Senior Developer to work on exciting client projects, contribute to high-quality software solutions, and share knowledge with junior team members through mentoring.


Key Responsibilities


Development and Problem Solving:

  • Write clean, maintainable, and scalable code across a variety of projects.
  • Collaborate with the team to deliver software solutions that meet client requirements.
  • Proactively address technical challenges during development, contributing effective and practical solutions.
  • Conduct code reviews to ensure quality, consistency, and adherence to best practices.

Collaboration and Mentoring:

  • Work closely with other developers, delivery managers, and stakeholders to ensure smooth project delivery.
  • Mentor junior developers, sharing knowledge and supporting their growth.

Continuous Improvement:

  • Stay up-to-date with industry trends, tools, and best practices, and share these insights with the team.
  • Contribute to process improvements and the evolution of the development team’s practices.


About You


We’re looking for someone with:

  • Strong working experience in PHP and Object-Oriented Programming (OOP).
  • A solid understanding of automated testing practices.
  • Expertise in performant MySQL and relational database design.
  • Hands-on experience with API design and development.

You should be comfortable with:

  • Scaling PHP/MySQL platforms to handle growth and performance demands.
  • Working with Laravel to build robust and maintainable applications.
  • Using modern tooling, including Docker, Git, PHPStan, PHPUnit, and CD/CI pipelines.
  • Writing well-structured HTML and CSS.

Bonus points if you bring:

  • Experience with Symfony or familiarity with VueJS and/or Angular.
  • A background in working on automation projects, such as IoT, Machine Learning, or AI.
  • Experience in agile environments and contributing to team collaboration.

You’ll thrive in this role if you have:

  • A collaborative mindset, working effectively with others to achieve shared goals.
  • Excellent problem-solving skills with great attention to detail.
  • A passion for writing high-quality code and staying on top of new technologies.


What We Offer


  • Competitivesalary of up-to £60,000with annual salary reviews.
  • Flexible working days and hours - structure your day around what works for you.
  • Remote work (UK) with a monthly team office day to get everyone together.
  • Perks like Summer and Winter Team Days (our last one included going to a spa and getting involved with some archery and clay pigeon shooting!)
  • ‍ We'll make sure you're comfortable working from home with the best equipment.
  • ️ 35 days off (including Bank Holidays + a day off for your birthday )
  • Continuous professional growth and skills development opportunities, including a £500 annual budget for training, certifications and conferences.
  • A vibrant and innovative work environment where your ideas matter.


Equal Opportunity Employer:True9 is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.