Software Engineer

Cathcart Technology
Manchester
2 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer

Software Engineer

Software Engineer

Software Engineer

Software Engineer

Software Engineer - ML Developer Tools

Software Engineer - Frontend (IoT Data)

Up to £60K (DOE)

Hybrid (Mon & Tues in office)


The company:

This is an incredible opportunity to join a forward-thinking company at the forefront of smart IoT technology, where you'll play a crucial role in shaping the future of efficiency and sustainability. The company’s innovative IoT monitoring solutions are transforming industries by helping businesses cut costs, optimize energy usage, and stay ahead of environmental regulations.


You'll be working on real-time data tools that empower organizations to make smarter, data-driven decisions, improving everything from operational efficiency to environmental impact. With products like environmental monitors, temperature sensors, and energy usage trackers, the company is helping industries such as manufacturing, healthcare, and renewable energy take giant leaps towards a sustainable future. This is your chance to work on ground-breaking technology that integrates seamlessly with intuitive online dashboards, delivering real-time alerts, detailed data logs, and custom reports. If you're ready to make a meaningful impact in an industry that’s shaping the future of both business and the planet, this role is the perfect next step in your career.



The Role:

You’ll play a key role in developing and maintaining high-quality, user-centric React applications for IoT data visualisation. You'll focus on performance, accessibility, and responsiveness while creating reusable components and front-end libraries. Your work will involve implementing interactive dashboards using Chart.js, conducting user research, and optimising UI/UX design. You'll also collaborate with designers and back-end engineers, integrating with RESTful APIs and staying up to date with the latest front-end technologies. Additionally, you’ll mentor junior engineers and contribute to best practices within the team.


Key Responsibilities:

  • Develop and maintain high-quality React applications with a focus on performance and accessibility
  • Build and maintain reusable components and front-end libraries
  • Prioritise user experience through clear and contextualised data visualisations
  • Conduct user research and usability testing to inform design decisions
  • Implement complex data visualisations and interactive dashboards using Chart.js
  • Work with RESTful APIs and collaborate with back-end engineers on integration
  • Ensure code quality through unit/integration tests and code reviews
  • Participate in Agile development processes (sprint planning, stand-ups, retrospectives)


Skills and Experience:

Required:

  • 3+ years of professional software development experience
  • Strong proficiency in TypeScript, JavaScript
  • Extensive experience with React, JavaScript, HTML, CSS
  • Strong understanding of UI/UX principles and best practices
  • Experience with data visualisation libraries like Chart.js
  • Familiarity with RESTful APIs and asynchronous programming
  • Experience in Agile environments and version control (Git)
  • Excellent communication and collaboration skills
  • Experience mentoring junior software engineers


Preferred:

  • Experience with NestJS, Chart.js
  • Knowledge of Agile development methodologies
  • Experience with AWS, Docker, Fargate
  • Exposure to mobile development (React Native)
  • Understanding of IoT technologies (LoRaWAN)
  • Familiarity with machine learning applications in data analysis



This is an opportunity to make a real impact in a fast-growing industry that’s shaping the future of IoT technology. You'll work on meaningful projects that drive sustainability and efficiency, all while collaborating with a passionate team and growing your technical expertise.



If this sounds like the right fit for you, apply now or get in touch to discuss the role in more detail!

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 AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

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

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.